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Installing R Packages" +author: "David Rach" +date: 02-01-2026 +format: html +toc: true +toc-depth: 5 +--- + +![](/images/WebsiteBanner.png) + +::: {style="text-align: right;"} +[![AGPL-3.0](https://img.shields.io/badge/license-AGPLv3-blue)](https://www.gnu.org/licenses/agpl-3.0.en.html) [![CC BY-SA 4.0](https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg)](http://creativecommons.org/licenses/by-sa/4.0/) +::: + +For the YouTube livestream recording, see [here](https://youtube.com/live/ZNFNokzsBaM) + + + +For screen-shot slides, click [here](/course/01_InstallingRPackages/slides.qmd) + +```{r} +#| include: FALSE +library(BiocStyle) +``` + +Welcome to the first week of [Cytometry in R](/Schedule.qmd)! This week we will be diving into how R packages work, and the how to go about installing them. + +Before getting started, please make sure you have completed the creating a [GitHub](/course/00_GitHub/) and [Workstation Setup](/course/00_WorkstationSetup/) walk-throughs, since we will begin where they left off once the required software was successfully installed. + +:::{.callout-important} +Please make sure to [sync](/course/00_Homeworks/index.qmd#sync-your-fork) your forked version of the CytometryInR repository, and [pull](/course/00_Git/index.qmd#pull) any changes to your local computer's CytometryInR project folder so that you have the most recent version of the code and data available. +::: + +
+ +--- + +# Background + +During [Workstation Setup](/course/00_WorkstationSetup/), you installed the R software to your local computer. R as a [programming language](https://en.wikipedia.org/wiki/R_(programming_language)) that started up in the 1990s. While its original focus was on statistics, it is now widely used in various fields thanks to contributions of many open-source developers over the years. + +This expanded reach is in part due to the ability to create [**R packages**](https://en.wikipedia.org/wiki/R_package), that encapsulate additional [**functions**](https://adv-r.hadley.nz/functions.html#function-fundamentals), that can do new things beyond what the original software (ie. **base R**) was capable of doing. + +
+ +--- + +Currently, there are [thousands](https://cran.r-project.org/web/packages/available_packages_by_name.html) of R packages available. Furthermore, there is a vibrant [community](https://www.reddit.com/r/rstats/) of individuals that help maintain and document how to use these packages, which has helped sustain and grow the R ecosystem over the last couple [decades](https://youtu.be/gjpNEVcG1nU?si=rcEBSc7AnAsgsAy2). + +Regardless if you are working with [flow cytometry](https://www.bioconductor.org/packages/release/BiocViews.html#___FlowCytometry), or in [ecology](https://drmattg.github.io/REcol-verse/), or in [econometrics](https://www.econometrics-with-r.org/1-introduction.html), or [political science](https://github.com/fivethirtyeight/data), a lot of the analysis and visualizations that you see in publications often involve R. + +
+ +--- + +:::{.callout-tip} +R packages can also just be made for fun! Among my favorite examples of this, there is an R package that lets you add the snake game to your [recalculating screen](https://github.com/AdamSpannbauer/snakeLoadR), as well as R packages that provide the color-palette schemes needed to make your plots with [Studio Ghibli](https://github.com/ewenme/ghibli), [Wes Anderson](https://github.com/karthik/wesanderson), or [Bluey](https://github.com/ekholme/blueycolors) colors. +::: + +
+ +--- + +These R packages start off as [source code](https://r-pkgs.org/structure.html#sec-package-states) (which is what we will be learning to write during this course). When you install a R package to your computer, this human-readable source code gets converted into a binary format with which your computer can interact directly. + +
+ +--- + +Expanding on this concept, a new R package can be made up of new code (primarily in the form of tools (ie. **functions**) that do a particular useful things) that is entirely self-contained, or reuse functions present in existing R packages to help make something new. When an R package relies on a function from another R package, it needs the other R package to be installed in order for everything to work properly. This is known as a package **dependency**. + +
+ +--- + +To make distributing the thousands of R packages and their associated package dependencies easier, R packages are collected (ie. hosted) within **repositories**, which function as an intermediate distributor. + +The three main locations for R packages from are **[CRAN](https://cran.r-project.org/)** (containing 23069 packages), **[Bioconductor](https://www.bioconductor.org/)** (containing 2361 packages), and individual R packages hosted by their developers via **[GitHub](https://github.com/trending/r)**. + +
+ +--- + +The process of installing R packages will vary a bit depending on which repository the respective R package is in. For beginners, this often prooves to be a pain-point, as they will attempt to install an R package using one set of installation commands, only to get an error (because the R package is not in that repository). + +
+ +--- + +In this session, we will work on installing the various R packages we will need through the course. While doing so, we will explore how to figure out which repository the individual package is in; what installation commands to use to download it; and how to look up the help documentation. We will also touch on how the functions within an R package are made available for our computer to use (via the `library()` call), and how to troubleshoot the more commonly encountered installation errors. + +
+ +--- + +# Getting Started + +## Set Up + +Alright, with the background out of the way, let's get started! + +:::{.callout-important} +Please make sure to [sync](/course/00_Homeworks/index.qmd#sync-your-fork) your forked version of the CytometryInR repository, and [pull](/course/00_Git/index.qmd#pull) any changes to your local computer's CytometryInR project folder so that you have the most recent version of the code and data available. +::: + +:::{.callout-warning} +Please remember to always copy over the new material from your local CytometryInR folder to a separate Project Folder that you created and named (ex. "Week_01" or "MyLearningFolder", etc.). This will ensure any edits you make to the files do not affect your ability to bring in next week's materials to the CytometryInR folder +::: + +
+ +--- + +After pulling the new data and code locally, open CytometryInR, open the course folder, and open the 01_InstallingRPackages folder. From here, copy the **index.qmd** file to your own working Project Folder (ex. Week_01) where you can work on it without causing any conflicts. Then return to Positron and open up your working project folder (ex. Week_01). + +![](images/01_Interpreter.png) + +
+ +--- + +Next up, within [Positron](/course/00_Positron/index.qmd#interpreter), let's make sure to select R as the coding language being used for this session. + +![](images/01_Interpreter.png) + +
+ +--- + +Now that R is running within Positron, the console (lower portion of the screenn) is now able to run (ie. execute) any R code that is sent to it. + +![](https://positron.posit.co/images/user-interface-for-rstudio-migration.jpeg) + +## Checking for Loaded Packages + +For the contents (ie. the functions) of an R package to be available for your computer to use, they must first be activated (ie. loaded) into your local environment. We will first learn how to check what R packages are currently active. + +
+ +--- + +### Accessing Help Documentation + +Within your own index.qmd (or a new .qmd file that you created), type out/copy-paste the following `sessionInfo()` function: + +```{r} +#| eval: FALSE +sessionInfo() +``` + +
+ +--- + +If you hover over the line of code within Positron, you will glimpse the help file for the particular function you are hovering over. + +![](images/02_HelpHover.png) + +
+ +--- + +In this case, we can see the help documentation corresponding for `sessionInfo()`. Beyond hovering over the function, this can also be accessed by adding a ? directly in front of the function, and then running that line of code. + +```{r} +#| eval: FALSE +?sessionInfo() +``` + +![](images/03_QuestionMark.png) + +
+ +--- + +When executed, the function's help file documentation will open up within the Help tab in the secondary side bar on the right-side of the screen. Glancing at the top of the page we can see the name of the package that contains the `sessionInfo()` function (`{utils}`). Scrolling down the help page past all the documentation, we can see a link to the index page. + +![](images/04_Index.png) + +
+ +--- + +After clicking, the Help tab switches from viewing the documentation for the `sessionInfo()` function, to showing all the functions within the `utils` package. Most R packages contain help documentation, so this process can be adapted to find out additional information about what a function does, and what arguments are needed to produce customized outputs. + +![](images/05_UtilsFunctions.png) + + +
+ +--- + +### sessionInfo() + +Within your .qmd file, let's go ahead and run the following code-block: + +```{r} +sessionInfo() +``` + +
+ +--- + +The outputs that get returned by `sessionInfo()` will vary a bit depending on your computer's [operating system](/course/00_WorkstationSetup/), and the version of R you have installed. + +For today, let's focus on the last two elements of the output: + +![](images/06_sessionInfo.png) + +
+ +--- + +The [R software](https://www.r-project.org/) itself is made up of several **base R packages**, that are loaded automatically. These contain everything you need to read, write and run R code on your computer. You can see these packages are the stats, graphics, grDevices, utils, datasets, methods and base packages. + +As we install additional R packages and load them using the `library()` function throughout this session, sporadically re-run `sessionInfo()` to see how this list of R packages changes. + +
+ +--- + +## Installing from CRAN + +We will start by installing R packages that are part of the [CRAN](https://cran.r-project.org/) repository. This is the main R package repository, being part of the broader R software project. In the context of this course, R packages that work primarily with general data structure (rows, columns, matrices, etc.) or visualizations will predominantly be found within this repository. + +These include the [tidyverse](https://tidyverse.org/) packages. These packages have collectively made R easier to use by smoothing out some of the rough edges of base R, which is why R has seen major growth within the last decade. We will be installing several of these R packages today. + +
+ +--- + +### dplyr + +Our first R package we will install during this session is the [dplyr](https://dplyr.tidyverse.org/) package. Since it is hosted on the CRAN repository, to install it, we will need to use the CRAN-specific installation function `install.packages()`. + +```{r} +#| eval: FALSE +?install.packages() +``` + +![](images/07_InstallPackages.png) + +
+ +--- + +For the `install.packages()` function, we place within the () the name of the R package from CRAN that we wish to install. + +```{r} +#| eval: FALSE +install.packages("dplyr") +``` + +
+ +--- + +:::{.callout-tip} +A usual struggle point for beginners is that install.packages() requires " " to be placed around the package name. Forgetting them results in the error that we see below. +::: + +```{r} +#| error: TRUE + +install.packages(dplyr) +``` + +
+ +--- + +```{r} +#| eval: FALSE +install.packages("dplyr") +``` + + +Go ahead and click on "Run Cell" next to your code-block, to install the `dplyr` R package. + +
+ +--- + +When a package starts to install, you will see your console start to display text resembling that seen in the image below (varying a bit depending on your computers operating system). + +![](images/08_InstallScript.png) + +
+ +--- + +Within this opening scrawl, you will see the location on your computer the R package is being installed to, as well as the file location for the R package being retrieved on CRAN. + +If the package is successfully located, your computer will proceed to first download, then unpack (ie. unzip) it, before attempting to install to the target folder. + +![](images/09_InstallScript2.png) + +
+ +--- + +The final steps of the installation process involved various steps to verify everything was copied successfully, the help documentation assembled, and that the R package is capable of being loaded. If this is the case, you will see the "Done" line appear, as well as a mention where the original downloaded source package files has been stashed (usually a temp folder). + +
+ +--- + +### Attaching packages via library() + +If an R package has been installed successfully, we are now able to load it (ie. make it's functions available) to our local environment using the `library()` function. + +```{r} +#| eval: FALSE +?library() +``` + +
+ +--- + +Unlike `install.packages()`, where we needed "" around the package name, the `library()` function does not require "" around the package name. Let's go ahead and load in `dplyr`, making its respective functions to our local environment. + +```{r} +library(dplyr) +``` + +
+ +--- + +From the output, we can see that `dplyr` has been attached. There are also a couple functions within dplyr that have identical names to functions within the stats and base packages. To avoid confusion, these 6 functions are masked, which is why we get the additional messages. + +With `dplyr` now loaded via the `library()` call, let's check `sessionInfo()` to see what has changed. + +```{r} +sessionInfo() +``` + +
+ +--- + +Similar to what was seen for the base R packages, `dplyr` is now attached. This means we should theoretically now have access to all its functions. We can verify this by seeing if we can look up the `dplyr` packages `select()` function and it's respective help page. + +```{r} +#| eval: FALSE +?select +``` + +![](images/10_Attached.png) + +
+ +--- + +Since its parent package has been attached to our local environment (via the `library()` call), we can see `dplyr` functions appear as suggestions as we begin to type. + +By contrast, is we check for the `ggplot()` function from the ggplot2 package (which we haven't yet installed or attached via `library()`), no suggestions will pop up. + +```{r} +?ggplot +``` + +
+ +--- + +Beyond individual functions, some R packages also have help landing pages, that can be similarly accessed by adding a ? in front of the package name: + +![](images/11_PackageLanding.png) + +
+ +--- + +### Unattaching + +So far, we have installed an R package, and then attached it (via `library()`). How would we reverse these steps? + +Well, to unload it from the local environment, there are a couple options. You could of course simply shut down Positron. The local environment only exist in context of when you open and close the session, which closing the program will do. All previously loaded R packages will be unattached, which is why when you start a new session you will need to load in all packages you plan on using via `library()`. + +Alternatively, although less used, you could `detach()` it via your console: + +```{r} +detach("package:dplyr", unload=TRUE) +``` + +```{r} +sessionInfo() +``` + +
+ +--- + +Looking at the `sessionInfo()` output, dplyr is no longer attached to the local environment. Consequently, if we try to once again look for the documentation, no information will be retrieved. + +```{r} +?dplyr +``` + +
+ +--- + +There is a workaround however, if we want to access functions from an unloaded R package. We can specify the R package's name, followed by two :, and then the function name. The :: conveys the context to your computer that the package is present, but may not be attached. + +```{r} +#| eval: FALSE +?dplyr::select() +``` + +This particular use case can be useful if we want to run a particular function, but not load in all a packages functions (which may have identical function names to other R packages we are using and cause some conflicts). + +
+ +--- + +### Removing Packages + +Just as we can install an R package, we can also uninstall an R package (although doing so is rare, most often when encountering package dependency conflict). To do so, we would use the `remove.packages()` function. + +```{r} +#| eval: FALSE +?remove.packages() +``` + +```{r} +#| eval: FALSE +remove.packages("dplyr") +``` + +This results in the package being removed entirely from our computer. We would then need to reinstall it if needed in the future. + +
+ +--- + +### Common Issues + +As previously mentioned, [CRAN](https://cran.r-project.org/) is the main repository for R packages. But what if we tried to install an R package that is only found on [Bioconductor](https://www.bioconductor.org/) or via [GitHub](https://github.com/trending/r) using the `install.packages()` function? + +To see what occurs, let's try installing the `PeacoQC` [package](https://www.bioconductor.org/packages/release/bioc/html/PeacoQC.html) (which is found on Bioconductor). + +```{r} +install.packages("PeacoQC") +``` + +
+ +--- + +As you can see, the initial warning message suggest that `PeacoQC` is not available for your version of R. When I first started trying to learn R on my own during COVID, this particular message was the bane of my existence and I couldn't figure out what was going on. + +This is just a default warning message, that would apply for both a package having a version mismatch, but also shown when trying to install packages that are not found on CRAN. + +
+ +--- + +## Installing from Bioconductor + +**[Bioconductor](https://www.bioconductor.org/)** is the second R package repository we will be working with throughout the course. While it contains far fewer packages than CRAN, it contains packages that are primarily used by the biomedical sciences. Following this [link](https://www.bioconductor.org/packages/release/BiocViews.html#___FlowCytometry) you can find it's current flow and mass cytometry R packages. + +Bioconductor R packages differ from CRAN R packages in a couple of ways. Bioconductor has different [standards](https://contributions.bioconductor.org/) for acceptance than [CRAN](https://r-pkgs.org/release.html). They usually contain interoperable object-types, put more effort into documentation and continous testing to ensure that the R package remains functional across operating systems. + +
+ +--- + +To install an R package that is located on [Bioconductor](https://www.bioconductor.org/), we first need to install the `BiocManager` package from CRAN. This package will allow us to install Bioconductor packages from their respective repository. + +```{r} +#| eval: FALSE +install.packages("BiocManager") +``` + +
+ +--- + +Once BiocManager is installed, we can attach it to our local environment using the `library()` function + +```{r} +library(BiocManager) +``` + +
+ +--- + +When loaded, you will see an output showing the current Bioconductor and R versions. + +We can then use BiocManager's `install()` function to go back and install `PeacoQC()`. + +:::{.callout-tip} +As always, don't forget the "" when running an `install()` command. +::: + +```{r} +#| eval: FALSE +?install() +``` + +```{r} +#| eval: FALSE + +install("PeacoQC") +``` + +
+ +--- + +We see a similar opening sequence of installation steps as what we saw when installing the `dplyr` package from CRAN. However, in this case, several package dependencies (rjson, GlobalOptions, etc.) are present. Consequently, you can see these packages are also being downloaded from their respective repositories (either CRAN or Bioconductor), then unzipped and assembled before PeacoQC undergoes installation. + +:::{.callout-note} +Behind the scenes, within an R package, what package dependencies need to be installed are specified through the Description and Namespace files. If a package name is removed from these files, it will not be installed during the installation process +::: + +![](images/12_PeacoQCDependencies.png) + +
+ +--- + +Within the scrawl of installation outputs, we can see individual dependencies undergoing installation similar to what we saw with `dplyr`, with a "Done (packagename)" being printed upon successful installation. + +![](images/13_rjson.png) + +
+ +--- + +This process continues for each dependency being installed. + +![](images/13b_Other.png) + +
+ +--- + +And finally, once all the dependencies are installed, `PeacoQC` starts to install. + +![](images/13c_PeacoQC.png) + +
+ +--- + +Occasionally, during installation, you will see a pop-up windown like this one in the console. This let's you know that some of the package dependencies have newer updated versions that are available to download. We are prompted to select between updating all, some or none. You will need to specify via the console how you want to proceed, by typing and entering one of the suggested options [a/s/n]. + +![](images/14_UpdateAll.png) + +
+ +--- + +Alternatively you may encounter a pop-up that resembles this one. Unlike the a/s/n output, we would need to provide a number for our intended choice. In this case, I went ahead and skipped all updates by typing 3 into the console, then hitting enter. + +![](images/16_GitHubInstall.png) + +
+ +--- + +Generally, it's okay to update if you have the time. Updates generally consist of minor improvements or bug fixes, that shouldn't cause major issues. If you are short on time, you can go ahead and select skip the update by entering the value (n) for the none option. + +![](images/14_UpdateAll.png) + +
+ +--- + +With PeacoQC has been installed, we can load it via the `library()` call + +:::{.callout-tip} +Remeber, `library()` doesn't require " " +::: + +```{r} +library(PeacoQC) +``` + +
+ +--- + +And we can check to see if it has been attached to the local environment + +```{r} +sessionInfo() +``` + +
+ +--- + +As you may have noticed, the section of ***loaded via namespace (but not attached)*** packages has grown larger. These packages are dependencies for the attached packages (dplyr, BiocManager and PeacoQC). Since the functions within these dependencies are only used selectively by the attached packages, they do not need to be active within the local environment. + +![](images/15_AdditionalDependencies.png) + +
+ +--- + +To see what packages are installed (but not yet loaded), we can use the `installed.packages()` function to return a list of R packages for your computer. + +```{r} +#| eval: FALSE + +installed.packages() +``` + +
+ +--- + +## Install from GitHub + +In addition to the [CRAN](https://cran.r-project.org/) and [Bioconductor](https://www.bioconductor.org/) repositories, individual R packages can also be found on [GitHub](https://github.com/trending/r) hosted on their respective developers GitHub accounts. Newer packages that are still being worked on (often in the process of submission to [CRAN](https://r-pkgs.org/release.html) or [Bioconductor]((https://contributions.bioconductor.org/))) can be found here, as well as those where the author decided not to bother with a review process, and just made the packages immediately available, warts and all. + +
+ +--- + +While many gems of R packages can be found on GitHub, there are also a bunch of R packages that due to [deprecation](https://devguide.ropensci.org/maintenance_evolution.html) since when they were published and released have stopped working. This is often the case for R packages that are not maintained, which is why it's useful to check the [commits](https://github.com/carlosproca/autospill/commits/master/) and [issues](https://github.com/carlosproca/autospill/issues) pages to see when the last contribution occurred. We will take a closer look at how to do so [later on](/Schedule.qmd#the-art-of-github-diving). + +
+ +--- + +To install packages from GitHub, you will need the `remotes` package, which can be found on CRAN. + +:::{.callout-tip title="Spot Check #1"} +To install a package from CRAN, what function would you use? +Click on the code-fold arrow below to reveal the answer. +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +install.packages("remotes") +``` + +
+ +--- + +With the `remotes` package now installed, we can attach it to our local environment. + +:::{.callout-tip title="Spot Check #2"} +What function would be used to do so? +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +library(remotes) +``` + +
+ +--- + +And finally, we can use the `install_github()` function to download R packages from the invidual developers GitHub account. + +:::{.callout-tip title="Spot Check #3"} +How would you look up the help documentation for this function? +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Either by hovering over it within Positron or via + +?install_github() +``` + +
+ +--- + +We will be installing a small R package [flowSpectrum](https://github.com/hally166/flowSpectrum) for this example. It's one of the packages created by [Christopher Hall](https://github.com/hally166), whose small series of [Flow Cytometry Data Analysis in R](https://youtu.be/2INqQNMNaV0?si=dZ_rJ1S26KnNbUmU) tutorials were immensely useful when I was first getting started learning R. `flowSpectrum` can be used to generate spectrum-style plots for spectral flow cytometry data. + +![](images/PE_Spectrum.png) + +
+ +--- + +To install an R package from GitHub, we first need the GitHub username (so [hally166](https://github.com/hally166) in this case), which is followed by a "/", and then the name of the package repository (so [flowSpectrum](https://github.com/hally166/flowSpectrum) in this case). Our code should consequently be: + +```{r} +#| eval: FALSE + +install_github("hally166/flowSpectrum") +``` + +
+ +--- + +When installing from GitHub, the opening installation scrawl will look different. Unlike R packages from CRAN or Bioconductor, which are usually shipped in an assembled binary format, R packages from GitHub start off as source code. So the first steps shown in the scrawl are the process of converting them to binary before proceeding. + +This process of building R packages from source code is one of the reasons we needed to install Rtools (for Windows users) or Xcode Developer Tools (for MacOS) for this course. We will look at this topic in greater depth later in the course when we talk about creating [R packages](/Schedule.qmd#building-your-first-r-package). + +![](images/17_InstallSource.png) + +
+ +--- + +## Troubleshooting Install Errors + +We have now installed three R packages, `dplyr`, `PeacoQC`, and `flowSpectrum`. In my case, I did not encounter any errors during the installation. However, sometimes a package installation will fail due to an error encountered during the installation process. This can be due to a number of reasons, ranging from a missing dependency, or an update that caused a conflict. While these can occur for CRAN or Bioconductor packages, they are more frequently seen for GitHub packages where the Description/Namespace files may not have been fully updated yet to install all the required dependencies. + +When encountering an error, start of by first reading through the message to see if you can parse any useful information about what package failed to install, and if it list the missing dependency packages name. The later was the case in the error message example shown below. + +![](images/18_ErrorExample.png) + +
+ +--- + +If you encounter an installation error this week, please take screenshots of the error message and post them to this [Discussion](https://github.com/UMGCCCFCSR/CytometryInR/discussions/10). This will help us troubleshoot your installation, as well as provide additional examples of installation errors that will be used to update this section in the future. + +
+ +--- + +## Installing Specific-Package Versions + +While we may be tempted to think of R packages as static, they change quite often, as their develipers add new features, fix bugs, etc. To help keep track of these changes (essential for [reproducibility](https://www.nature.com/articles/d42473-019-00004-y) and replicability), R packages have version numbers. + +When we run `sessionInfo()`, we can see an example of this, with the version number appearing after the package name. + +```{r} +sessionInfo() +``` + +
+ +--- + +Alternatively, we can retrieve the same information for the individual packages via the `packageVersion()` function + +```{r} +packageVersion("PeacoQC") +``` + +
+ +--- + +As well as from the `citation()` function. + +```{r} +citation("PeacoQC") +``` + +
+ +--- + +How does a version number work? Lets say we have the following version number: **1.20.0** + +The first number of the version (**1.** in this case) denotes major changes, primarily those where after the version change the package may not be compatible with the code used in the prior version. As a consequence, this number changes rarely. + +The second number (**.20.** in this case) is the minor version. Minor changes typically consist of new features that are added, that don't affect the overall package function. These will change more frequently, especially for Bioconductor packages with fixed [release cycles](https://www.bioconductor.org/developers/release-schedule/). + +The final number (**.0** in this case) is often used to denote small changes occuring within a minor release period, often bug-fixes or fixing typos within the documentation. + +
+ +--- + +We may in the future need to install specific package versions (but wont be doing so today). As expected, which repository contains the R package influences how we would go about doing this. + +For CRAN packages, we can use the `remotes` packages `install_version()` function. This allows us to provide the version number, and designate the repository location (the CRAN url in this case). + +```{r} +#| eval: FALSE +remotes::install_version("ggplot2", version = "3.5.2", repos = "https://cloud.r-project.org") +``` + +For GitHub-based R packages, the package versioning schema is not as strict as that of CRAN or Bioconductor. Typically, changes in R packagaes are put out by their developers as [releases](https://github.com/DavidRach/Luciernaga/releases). When trying to install a particular release, we can add an additional argument to the `install_github()` function, specifying the release version's tag number. For example: + +```{r} +#| eval: FALSE +remotes::install_github("DavidRach/Luciernaga", ref = "v0.99.7") +``` + +Alternatively, if the developer doesn't implement releases, you can provide the hash number of a particular commit. + +```{r} +#| eval: FALSE + +remotes::install_github("DavidRach/Luciernaga", ref = "8d1d694") +``` + +## Documentation and Websites + +We have already seen a couple ways to access the help documentation contained within an R package via Positron. Beyond internal documentation, R packages often have external websites that contain additional walk-through articles (ie. vignettes) to better document how to use the package. + +For CRAN-based packages, we can start off by searching for the package name. So, in the case of `dplyr`: + +![](images/19_DplyrGoogle.png) + +
+ +--- + +Two main suggestions pop up. One is the package's [CRAN](https://cran.r-project.org/web/packages/dplyr/index.html) page. Unfortunately, this one is not particularly user-friendly, although some text-based vignettes are accessible. + +![](images/20_DplyrCRAN.png) + +
+ +--- + +Because of this, many CRAN-based R packages (especially those part of the tidyverse) use [pkgdown](https://pkgdown.r-lib.org/)-generated websites hosted via a GitHub page (similar to the one used by this course. The second option on the search is dplyr's pkgdown-style [website](https://dplyr.tidyverse.org/) + +![](images/21_DplyrPkgdown.png) + +
+ +--- + +We can usually find the list of functions under the Reference tab, with the more extensive documentation vignettes being found under the Articles tab. + +![](images/22_PkgdownArticles.png) + +
+ +--- + +GitHub-based packages will vary depending on their individual developers, but often will also use pkgdown-style websites. These often appear as links on the right-hand side, or within the repository's ReadMe. + +![](images/23_GitHub.png) + +
+ +--- + +For Bioconductor-based packages, on the package's page we can typically find the already rendered vignette articles, usually as either html or pdf files. For example, with [PeacoQC](https://www.bioconductor.org/packages/release/bioc/vignettes/PeacoQC/inst/doc/PeacoQC_Vignette.pdf): + +![](images/24_PeacoQCBioc.png) + +
+ +--- + +Additionally, package vignettes can also be reached via the packages help index page. These will usually appear under ***User guides, package vignettes, and other documentation***. + +![](images/25_Vignettes.png) + +
+ +--- + + +# Your Turn + +Alright, we have now gone through the process of installing an R package from [CRAN](/course/01_InstallingRPackages/index.qmd#installing-from-cran), [Bioconductor](/course/01_InstallingRPackages/index.qmd#installing-from-bioconductor), and [GitHub](/course/01_InstallingRPackages/index.qmd#install-from-github). We will now install 20 other R packages we will need throughout the rest of the course. + +:::{.callout-note} +To make this interactive, [**I will task you**]{.underscore} to apply the previous concepts to figure out whether the packages need to be installed via CRAN, Bioconductor or GitHub. +::: + +:::{.callout-important} +Feel free to view the [website](https://umgcccfcsr.github.io/CytometryInR/course/) version to avoid accidental spoilers from the copied over index.qmd file. Alternatively, you can attempt to switch from the Source view to Visual Mode by right clicking with your mouse and selecting that option. +::: + +:::{.callout-tip} +Start by searching each packages name. See if you can spot first either a CRAN or a Bioconductor website. Then enter the respective installation command (`install.packages()`, `install()`, `install_github()`) for the appropiate repository, add the package name, and run the code to see if the installation proceeds. + +For cases where you are truly stuck, expand the code-fold below each package name to see the answer. +::: + +:::{.callout-note} +Some of these packages may be dependencies of each other and may wind up installed before you get to them. If that is the case, no need to reinstall, count it as a win, and proceed to the next R package. +::: + +Remember,if you encountered any installation errors in the process, please take screenshots and post them on the the [Discussion page](https://github.com/UMGCCCFCSR/CytometryInR/discussions/10) to help with improved documentation. + +
+ +--- + +:::{.callout-tip title="1/20"} +R package: purrr +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: CRAN +# Website: https://purrr.tidyverse.org/ + +install.packages("purrr") +``` + +
+ +--- + +:::{.callout-tip title="2/20"} +R package: flowCore +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/flowCore.html + +install("flowCore") +``` + +
+ +--- + +:::{.callout-tip title="3/20"} +R package: flowWorkspace +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/flowWorkspace.html + +install("flowWorkspace") +``` + +
+ +--- + +:::{.callout-tip title="4/20"} +R package: stringr +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: CRAN +# Website: https://stringr.tidyverse.org/ + +install.packages("stringr") +``` + +
+ +--- + +:::{.callout-tip title="5/20"} +R package: ggplot2 +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: CRAN +# Website: https://ggplot2.tidyverse.org/ + +install.packages("ggplot2") +``` + +
+ +--- + + +:::{.callout-tip title="6/20"} +R package: ggcyto +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/ggcyto.html + +install("ggcyto") +``` + +
+ +--- + +:::{.callout-tip title="7/20"} +R package: tidyr +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: CRAN +# Website: https://tidyr.tidyverse.org/ + +install.packages("tidyr") +``` + +
+ +--- + +:::{.callout-tip title="8/20"} +R package: openCyto +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/openCyto.html + +install("openCyto") +``` + +
+ +--- + +:::{.callout-tip title="9/20"} +R package: FlowSOM +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/FlowSOM.html + +install("FlowSOM") +``` + +
+ +--- + +:::{.callout-tip title="10/20"} +R package: xml2 +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: CRAN +# Website: https://xml2.r-lib.org/ + +install.packages("xml2") +``` + +
+ +--- + + +:::{.callout-tip title="11/20"} +R package: saeyslab/CytoNorm +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + + +# Location: GitHub +# Website: https://github.com/saeyslab/CytoNorm + +install_github("saeyslab/CytoNorm") +``` + +
+ +--- + +:::{.callout-tip title="12/20"} +R package: lubridate +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website: https://lubridate.tidyverse.org/ + +install.packages("lubridate") +``` + +
+ +--- + +:::{.callout-tip title="13/20"} +R package: httr2 +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website: https://httr2.r-lib.org/ + +install.packages("httr2") +``` + +
+ +--- + +:::{.callout-tip title="14/20"} +R package: flowGate +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/flowGate.html + +install("flowGate") +``` + +
+ +--- + +:::{.callout-tip title="15/20"} +R package: devtools +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website: https://devtools.r-lib.org/ + +install.packages("devtools") +``` + +
+ +--- + +:::{.callout-tip title="16/20"} +R package: plotly +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website: https://plotly.com/r/getting-started/ + +install.packages("plotly") +``` + +
+ +--- + +:::{.callout-tip title="17/20"} +R package: biosurf/cyCombine +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: GitHub +# Website: https://github.com/biosurf/cyCombine + +install_github("biosurf/cyCombine") +``` + +
+ +--- + +:::{.callout-tip title="18/20"} +R package: CytoML +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: Bioconductor +# Website: https://www.bioconductor.org/packages/release/bioc/html/CytoML.html + +install("CytoML") +``` + +
+ +--- + +:::{.callout-tip title="19/20"} +R package: Rtsne +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website: https://github.com/jkrijthe/Rtsne + +install.packages("Rtsne") +``` + +
+ +--- + +:::{.callout-tip title="20/20"} +R package: uwot +::: + +```{r} +#| code-fold: TRUE +#| eval: FALSE + +# Location: CRAN +# Website:https://jlmelville.github.io/uwot/ + +install.packages("uwot") +``` + +
+ +--- + +**Congratulations!** You have (hopefully) survived the package installation onslaught that is Week #1 of the course. + +![](images/Entertained.jpg) + +Remember to submit any encountered installation error screenshots to the [Discussion page](https://github.com/UMGCCCFCSR/CytometryInR/discussions/10). + +
+ +--- + +# Wrap-Up + +In this session, we walked through what are R packages, where to find them, how to install them, and a bit about troubleshooting any installation errors you may encounter during the process. + +You then proceeded to install most of the R packages that you would need throughout the [Cytometry in R course](/Schedule.qmd). These included tidyverse packages from the [CRAN](https://cran.r-project.org/) repository used for working with data structures and plots, as well as more cytometry focused R packages from [Bioconductor](https://www.bioconductor.org/) repository. + +If you have any questions, or want to discuss this week's topics in more depth with the other course participants, please head over to the [Discussion](https://github.com/UMGCCCFCSR/CytometryInR/discussions) page and open a new topic. + +Next week, we will start learning about [file paths](/Schedule.qmd#file-paths), by which we will be able to tell our computer where to find your fcs files, how to retrieve the file names, subset those that may be of particular interest, and copy them over to a new folder. In the processs, we will learn a little more about how variables, objects, and list work within R. + +Until then, Best Wishes! + +- David + +
+ +![](/course/01_InstallingRPackages/images/ExitImage.png) + +--- + +# Additional Resources + +[Tidy Tales](https://tidytales.ca/series/2023-01-24_reproducible-data-science/posts/r-packages.html) An useful beginner-friendly blogpost covering additional aspects from a different perspective. + +[Introduction to Bioconductor](https://youtu.be/dg6NvmMVQ3I?si=WfsqpO3Z-M2oG8zh) A talk by Martin Morgan with more information about the Bioconductor project. + +[R Packages](https://r-pkgs.org/) A book by Hadley Wickham and Jennifer Bryan, covering all the different internals of R packages. + +
+ +--- + + +# Take-home Problems + +Below you will find the optional take-home problems for Week #1. Learning how to code well requires continous practice, and that involves cycles of trying something, failing, and troubleshooting to get it working. The goal of these problems is to help you explore the topic in greater depth than the currated boundaries of this one lecture. + +You are more than welcome to open a [Discussion](https://github.com/UMGCCCFCSR/CytometryInR/discussions) to engage with others in the course to discuss these questions. Once you are done tinkering, and want to get final instructor feedback on your work, place your files within a folder, and follow the instructions to submit it as a [Pull Request](/course/00_Homeworks/index.qmd#submitting-take-home-problems) to the Cytometry In R repositories homework branch. + +:::{.callout-tip title="Problem 1"} +We installed PeacoQC during this session, but we didn't have time to explore what functions are present within the package. Using what you have learned about accessing documentation, figure out and list what functions it contains +::: + +```{r} +?PeacoQC +# In the secondary side bar, appears the information related with PeacoQC package. If you scroll down to the end, you will see the "index" to click. Then, click in "user guides, packages vignettes and other documentation". Finally, I clicked in "PeacoQC::PeacoQC Vignettes". In this new page appears different functions of the package, the codes and what they do. + +#incluir fotos +``` + +:::{.callout-tip title="Problem 2"} +Take a closer look at the list of Bioconductor [cytometry](https://www.bioconductor.org/packages/release/BiocViews.html#___FlowCytometry) packages. Report back on how many there are currently in Bioconductor, the author/maintainer with the most contributed cytometry R packages, and a couple packages that you would be interested in exploring more in-depth later in the course. +::: +There is 69 packages at Bioconductor related with Flow Cytometry. To know who is the author/maintainer with most contributions to cytometry R packages, I copy the table and I did and excel document. Then, I installed a package (from the CRAN repository) to work in R with it: + +```{r} +#| eval: FALSE +install.packages("readxl") +``` + + +```{r} +#| eval: FALSE + +# Then, I loaded the package *readx1*: + +library(readxl) +``` + +```{r} +#| eval: FALSE +# Next, I loaded the excel file by copying the access route +datos <- read_excel("C:/Users/Macarena/Desktop/bioconductor.xlsx") +``` + +```{r} +#| eval: FALSE +# And I checked that everything went well: +View(datos) +``` + +```{r} +#| eval: FALSE +# Finally, I ran the code to count authors. With this code, I obtained the name with the author/maintainer most repeated and the number of times that appears. In this particular case, Mike Jiang, 7 times. + +library(dplyr) + +datos %>% + count(Author) %>% + arrange(desc(n)) %>% + slice(1) +``` + +:::{.callout-tip title="Problem 3"} +There is another way to install R packages, using the newer [pak](https://pak.r-lib.org/) package. Positron uses this when installing suggested dependencies. + +After learning more about it via the documentation and it's pkgdown website, I would like you to attempt to install the following three R packages using this newer method: "broom", "cytoMEM", "DillonHammill/CytoExploreR". + +Take screenshots, and in a new [quarto markdown document](/course/00_Quarto/index.qmd), describe how the installation process differed from what you saw for `install.packages()`, `install()` and `install_github()`. +::: + +::: {style="text-align: right;"} +[![AGPL-3.0](https://www.gnu.org/graphics/agplv3-with-text-162x68.png)](https://www.gnu.org/licenses/agpl-3.0.en.html) [![CC BY-SA 4.0](https://licensebuttons.net/l/by-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-sa/4.0/) +::: + diff --git a/course/01_InstallingRPackages/homeworks/MacarenaLM-w1/problem3/CytoExploreR.png b/course/01_InstallingRPackages/homeworks/MacarenaLM-w1/problem3/CytoExploreR.png new file mode 100644 index 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First, *pak* needs to be installed + +install.packages("pak") +``` + +```{r} +#| eval: FALSE +# Then, *pak* needs to be activated +library(pak) +``` + Now, I can install *broom*, *cytoMEM* and *DillonHammill/CytoExploreR* using *pak*. Let's go! +## broom + +```{r} +#| eval: FALSE +# *broom* is a package located in the CRAN repository +pak::pkg_install("broom") +``` + +![](broom_installation.png) + +## cytoMEM + +```{r} +#| eval: FALSE +# *cytoMEM* is a package located in Bioconductor. The code used is the same for the CRAN repository +pak::pkg_install("cytoMEM") +``` + +![](problem3\cytoMEM_installation.png) +![](problem3\cytoMEM_installation2.png) + +## DillonHammill/CytoExploreR + +```{r} +#| eval: FALSE +# *DillonHammill/CytoExploreR* is a package from the GitHub repository, and the code is the same that I have previously shown. +pak::pkg_install("DillonHammill/CytoExploreR") +``` + +![](problem3\CytoExploreR_installation.png) + +This error suggests that is necessary the installation of *EMbedSOM* and *superheat* first + + +```{r} +#| eval: FALSE +# For *EmbedSOM*: +pak::pkg_install("exaexa/EmbedSOM") +``` + +![](problem3\EmbedSOM.png) +![](problem3\EmbedSOM2.png) +![](problem3\EmbedSOM3.png) + + +```{r} +#| eval: FALSE +# For *superheat*: +pak::pkg_install("superheat") +``` + +![](problem3\superheat.png) + + +```{r} +#| eval: FALSE +#Let's try again with *cytoExploreR* from the GitHub repository: +pak::pkg_install("DillonHammill/CytoExploreR") +``` + +![](problem3\superheat2.png) + +Now, the error seems to be related with the version of the package. I wasn't be able to find a newer version of *superheat*, so I'm going to try to install *CytoExploreR* without using *pak*. + +```{r} +#| eval: FALSE +library(remotes) +install_github("DillonHammill/CytoExploreR") +``` + +![](problem3\CytoExploreR.png) +![](problem3\CytoExploreR2.png) +![](problem3\CytoExploreR3.png) +![](problem3\CytoExploreR4.png) + +So, finally, CytoExploreR is installed. 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Problem 3_Installation of packages using Pak

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Author
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Macarena López-Mayorga

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Published
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February 23, 2026

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Preliminary actions

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# First, *pak* needs to be installed
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+install.packages("pak")
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# Then, *pak* needs to be activated
+library(pak)
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Now, I can install broom, cytoMEM and DillonHammill/CytoExploreR using pak. Let’s go! ## broom

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# *broom* is a package located in the CRAN repository
+pak::pkg_install("broom")
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¡

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cytoMEM

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DillonHammill/CytoExploreR

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Made with Quarto

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AGPL-3.0 CC-BY-SA

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z>So@AVSC7N&{2GuoAwV&c_Jq!N2G-lv0R=(Hvx>3C65C#X412xZ`J7;a_eTD0!sAsh1{!y(;eVuXnnO4*Y-^R*gb$aEb}%Va6;}$(@sWbn3(wg6&De%rU*2k{jdNq%)8sZ z6Um-QJt+l~U*V3%JAv%sx&8LRZ}oE-2hro->-0dl{J78|%Tt)P%1|uX{lvy(sviDs zG(l7 + + + + + + + + + + +Problem 3_Installation of packages using Pak – Cytometry in R + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Problem 3_Installation of packages using Pak

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Author
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Macarena López-Mayorga

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Published
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February 23, 2026

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Preliminary actions

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# First, *pak* needs to be installed
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+install.packages("pak")
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# Then, *pak* needs to be activated
+library(pak)
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Now, I can install broom, cytoMEM and DillonHammill/CytoExploreR using pak. Let’s go! ## broom

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# *broom* is a package located in the CRAN repository
+pak::pkg_install("broom")
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¡

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cytoMEM

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DillonHammill/CytoExploreR

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Made with Quarto

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AGPL-3.0 CC-BY-SA

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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgb(89.25, 89.25, 89.25);--bs-navbar-hover-color: rgba(9.75, 82.5, 189.75, 0.8);--bs-navbar-disabled-color: rgba(89.25, 89.25, 89.25, 0.75);--bs-navbar-active-color: rgb(9.75, 82.5, 189.75);--bs-navbar-brand-color: rgb(89.25, 89.25, 89.25);--bs-navbar-brand-hover-color: rgb(9.75, 82.5, 189.75);--bs-navbar-toggler-border-color: rgba(89.25, 89.25, 89.25, 0);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgb%2889.25, 89.25, 89.25%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgb%2889.25, 89.25, 89.25%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.25rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.25rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(52, 58, 64, 0.25);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #ffffff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 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.nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: #212529;--bs-accordion-bg: #ffffff;--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: #dee2e6;--bs-accordion-border-width: 1px;--bs-accordion-border-radius: 0.25rem;--bs-accordion-inner-border-radius: calc(0.25rem - 1px);--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: #212529;--bs-accordion-btn-bg: #ffffff;--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='rgb%285.2, 44, 101.2%29'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: rgb(134, 182.5, 254);--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: rgb(5.2, 44, 101.2);--bs-accordion-active-bg: rgb(206.6, 226, 254.6)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='rgb%28109.8, 168, 253.8%29'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='rgb%28109.8, 168, 253.8%29'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(33, 37, 41, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(33, 37, 41, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #0d6efd;--bs-pagination-bg: #ffffff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: rgb(10.4, 88, 202.4);--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: rgb(10.4, 88, 202.4);--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #ffffff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: rgba(33, 37, 41, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #ffffff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #ffffff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #212529;--bs-list-group-bg: #ffffff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(33, 37, 41, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #212529;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(33, 37, 41, 0.75);--bs-list-group-disabled-bg: #ffffff;--bs-list-group-active-color: #ffffff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(255, 255, 255, 0.85);--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(33, 37, 41, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header 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;--quarto-scss-export-hr-height: ;--quarto-scss-export-hr-border-color: ;--quarto-scss-export-legend-font-weight: ;--quarto-scss-export-mark-bg: rgb(255, 242.6, 205.4);--quarto-scss-export-table-color: #212529;--quarto-scss-export-table-bg: #ffffff;--quarto-scss-export-table-accent-bg: transparent;--quarto-scss-export-table-th-font-weight: ;--quarto-scss-export-table-striped-color: #212529;--quarto-scss-export-table-striped-bg: rgba(0, 0, 0, 0.05);--quarto-scss-export-table-active-color: #212529;--quarto-scss-export-table-active-bg: rgba(0, 0, 0, 0.1);--quarto-scss-export-table-hover-color: #212529;--quarto-scss-export-table-hover-bg: rgba(0, 0, 0, 0.075);--quarto-scss-export-table-caption-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-input-btn-font-family: ;--quarto-scss-export-input-btn-focus-color: rgba(13, 110, 253, 0.25);--quarto-scss-export-btn-color: #212529;--quarto-scss-export-btn-font-family: ;--quarto-scss-export-btn-white-space: ;--quarto-scss-export-btn-link-color: #0d6efd;--quarto-scss-export-btn-link-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-btn-link-disabled-color: #6c757d;--quarto-scss-export-form-text-font-style: ;--quarto-scss-export-form-text-font-weight: ;--quarto-scss-export-form-text-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-form-label-font-size: ;--quarto-scss-export-form-label-font-style: ;--quarto-scss-export-form-label-font-weight: ;--quarto-scss-export-form-label-color: ;--quarto-scss-export-input-font-family: ;--quarto-scss-export-input-disabled-color: ;--quarto-scss-export-input-disabled-bg: #e9ecef;--quarto-scss-export-input-disabled-border-color: ;--quarto-scss-export-input-color: #212529;--quarto-scss-export-input-focus-bg: #ffffff;--quarto-scss-export-input-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-input-focus-color: #212529;--quarto-scss-export-input-placeholder-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-input-plaintext-color: #212529;--quarto-scss-export-form-check-label-color: ;--quarto-scss-export-form-check-transition: ;--quarto-scss-export-form-check-input-bg: #ffffff;--quarto-scss-export-form-check-input-focus-border: rgb(134, 182.5, 254);--quarto-scss-export-form-check-input-checked-color: #ffffff;--quarto-scss-export-form-check-input-checked-bg-color: #0d6efd;--quarto-scss-export-form-check-input-checked-border-color: #0d6efd;--quarto-scss-export-form-check-input-indeterminate-color: #ffffff;--quarto-scss-export-form-check-input-indeterminate-bg-color: #0d6efd;--quarto-scss-export-form-check-input-indeterminate-border-color: #0d6efd;--quarto-scss-export-form-switch-color: rgba(0, 0, 0, 0.25);--quarto-scss-export-form-switch-focus-color: rgb(134, 182.5, 254);--quarto-scss-export-form-switch-checked-color: #ffffff;--quarto-scss-export-input-group-addon-color: #212529;--quarto-scss-export-input-group-addon-bg: #f8f9fa;--quarto-scss-export-input-group-addon-border-color: #dee2e6;--quarto-scss-export-form-select-font-family: ;--quarto-scss-export-form-select-color: #212529;--quarto-scss-export-form-select-bg: #ffffff;--quarto-scss-export-form-select-disabled-color: ;--quarto-scss-export-form-select-disabled-bg: #e9ecef;--quarto-scss-export-form-select-disabled-border-color: ;--quarto-scss-export-form-select-indicator-color: #343a40;--quarto-scss-export-form-select-border-color: #dee2e6;--quarto-scss-export-form-select-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-form-range-track-bg: #f8f9fa;--quarto-scss-export-form-range-thumb-bg: #0d6efd;--quarto-scss-export-form-range-thumb-active-bg: rgb(182.4, 211.5, 254.4);--quarto-scss-export-form-range-thumb-disabled-bg: rgba(33, 37, 41, 0.75);--quarto-scss-export-form-file-button-color: #212529;--quarto-scss-export-form-file-button-bg: #f8f9fa;--quarto-scss-export-form-file-button-hover-bg: #e9ecef;--quarto-scss-export-form-floating-label-disabled-color: #6c757d;--quarto-scss-export-form-feedback-font-style: ;--quarto-scss-export-form-feedback-valid-color: #198754;--quarto-scss-export-form-feedback-invalid-color: #dc3545;--quarto-scss-export-form-feedback-icon-valid-color: #198754;--quarto-scss-export-form-feedback-icon-invalid-color: #dc3545;--quarto-scss-export-form-valid-color: #198754;--quarto-scss-export-form-valid-border-color: #198754;--quarto-scss-export-form-invalid-color: #dc3545;--quarto-scss-export-form-invalid-border-color: #dc3545;--quarto-scss-export-nav-link-font-size: ;--quarto-scss-export-nav-link-font-weight: ;--quarto-scss-export-nav-link-color: #0d6efd;--quarto-scss-export-nav-link-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-nav-link-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-nav-tabs-border-color: #dee2e6;--quarto-scss-export-nav-tabs-link-hover-border-color: #e9ecef #e9ecef #dee2e6;--quarto-scss-export-nav-tabs-link-active-color: #000;--quarto-scss-export-nav-tabs-link-active-bg: #ffffff;--quarto-scss-export-nav-pills-link-active-bg: #0d6efd;--quarto-scss-export-nav-pills-link-active-color: #ffffff;--quarto-scss-export-nav-underline-link-active-color: #000;--quarto-scss-export-navbar-padding-x: ;--quarto-scss-export-navbar-light-contrast: #000;--quarto-scss-export-navbar-dark-contrast: #000;--quarto-scss-export-navbar-light-icon-color: rgba(0, 0, 0, 0.75);--quarto-scss-export-navbar-dark-icon-color: rgba(0, 0, 0, 0.75);--quarto-scss-export-dropdown-color: #212529;--quarto-scss-export-dropdown-bg: #ffffff;--quarto-scss-export-dropdown-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-divider-bg: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-link-color: #212529;--quarto-scss-export-dropdown-link-hover-color: #212529;--quarto-scss-export-dropdown-link-hover-bg: #f8f9fa;--quarto-scss-export-dropdown-link-active-bg: #0d6efd;--quarto-scss-export-dropdown-link-active-color: #ffffff;--quarto-scss-export-dropdown-link-disabled-color: rgba(33, 37, 41, 0.5);--quarto-scss-export-dropdown-header-color: #6c757d;--quarto-scss-export-dropdown-dark-color: #dee2e6;--quarto-scss-export-dropdown-dark-bg: #343a40;--quarto-scss-export-dropdown-dark-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-dark-divider-bg: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-dark-box-shadow: ;--quarto-scss-export-dropdown-dark-link-color: #dee2e6;--quarto-scss-export-dropdown-dark-link-hover-color: #ffffff;--quarto-scss-export-dropdown-dark-link-hover-bg: rgba(255, 255, 255, 0.15);--quarto-scss-export-dropdown-dark-link-active-color: #ffffff;--quarto-scss-export-dropdown-dark-link-active-bg: #0d6efd;--quarto-scss-export-dropdown-dark-link-disabled-color: #adb5bd;--quarto-scss-export-dropdown-dark-header-color: #adb5bd;--quarto-scss-export-pagination-color: #0d6efd;--quarto-scss-export-pagination-bg: #ffffff;--quarto-scss-export-pagination-border-color: #dee2e6;--quarto-scss-export-pagination-focus-color: rgb(10.4, 88, 202.4);--quarto-scss-export-pagination-focus-bg: #e9ecef;--quarto-scss-export-pagination-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-pagination-hover-bg: #f8f9fa;--quarto-scss-export-pagination-hover-border-color: #dee2e6;--quarto-scss-export-pagination-active-color: #ffffff;--quarto-scss-export-pagination-active-bg: #0d6efd;--quarto-scss-export-pagination-active-border-color: #0d6efd;--quarto-scss-export-pagination-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-pagination-disabled-bg: #e9ecef;--quarto-scss-export-pagination-disabled-border-color: #dee2e6;--quarto-scss-export-card-title-color: ;--quarto-scss-export-card-subtitle-color: ;--quarto-scss-export-card-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-card-box-shadow: ;--quarto-scss-export-card-cap-color: ;--quarto-scss-export-card-height: ;--quarto-scss-export-card-color: ;--quarto-scss-export-card-bg: #ffffff;--quarto-scss-export-accordion-color: #212529;--quarto-scss-export-accordion-bg: #ffffff;--quarto-scss-export-accordion-border-color: #dee2e6;--quarto-scss-export-accordion-button-color: #212529;--quarto-scss-export-accordion-button-bg: #ffffff;--quarto-scss-export-accordion-button-active-bg: rgb(206.6, 226, 254.6);--quarto-scss-export-accordion-button-active-color: rgb(5.2, 44, 101.2);--quarto-scss-export-accordion-button-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-accordion-icon-color: #212529;--quarto-scss-export-accordion-icon-active-color: rgb(5.2, 44, 101.2);--quarto-scss-export-tooltip-color: #ffffff;--quarto-scss-export-tooltip-bg: #000;--quarto-scss-export-tooltip-margin: ;--quarto-scss-export-tooltip-arrow-color: ;--quarto-scss-export-form-feedback-tooltip-line-height: ;--quarto-scss-export-popover-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-popover-header-bg: #e9ecef;--quarto-scss-export-popover-body-color: #212529;--quarto-scss-export-popover-arrow-color: #ffffff;--quarto-scss-export-popover-arrow-outer-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-toast-color: ;--quarto-scss-export-toast-background-color: rgba(255, 255, 255, 0.85);--quarto-scss-export-toast-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-toast-header-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-toast-header-background-color: rgba(255, 255, 255, 0.85);--quarto-scss-export-toast-header-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-badge-color: #ffffff;--quarto-scss-export-modal-content-color: ;--quarto-scss-export-modal-content-bg: #ffffff;--quarto-scss-export-modal-content-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-modal-backdrop-bg: #000;--quarto-scss-export-modal-header-border-color: #dee2e6;--quarto-scss-export-modal-footer-bg: ;--quarto-scss-export-modal-footer-border-color: #dee2e6;--quarto-scss-export-progress-bg: #e9ecef;--quarto-scss-export-progress-bar-color: #ffffff;--quarto-scss-export-progress-bar-bg: #0d6efd;--quarto-scss-export-list-group-color: #212529;--quarto-scss-export-list-group-bg: #ffffff;--quarto-scss-export-list-group-border-color: #dee2e6;--quarto-scss-export-list-group-hover-bg: #f8f9fa;--quarto-scss-export-list-group-active-bg: #0d6efd;--quarto-scss-export-list-group-active-color: #ffffff;--quarto-scss-export-list-group-active-border-color: #0d6efd;--quarto-scss-export-list-group-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-list-group-disabled-bg: #ffffff;--quarto-scss-export-list-group-action-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-list-group-action-hover-color: #000;--quarto-scss-export-list-group-action-active-color: #212529;--quarto-scss-export-list-group-action-active-bg: #e9ecef;--quarto-scss-export-thumbnail-bg: #ffffff;--quarto-scss-export-thumbnail-border-color: #dee2e6;--quarto-scss-export-figure-caption-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-font-size: ;--quarto-scss-export-breadcrumb-bg: ;--quarto-scss-export-breadcrumb-divider-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-active-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-border-radius: ;--quarto-scss-export-carousel-control-color: #ffffff;--quarto-scss-export-carousel-indicator-active-bg: #ffffff;--quarto-scss-export-carousel-caption-color: #ffffff;--quarto-scss-export-carousel-dark-indicator-active-bg: #000;--quarto-scss-export-carousel-dark-caption-color: #000;--quarto-scss-export-btn-close-color: #000;--quarto-scss-export-offcanvas-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-offcanvas-bg-color: #ffffff;--quarto-scss-export-offcanvas-color: #212529;--quarto-scss-export-offcanvas-backdrop-bg: #000;--quarto-scss-export-code-color-dark: white;--quarto-scss-export-kbd-color: #ffffff;--quarto-scss-export-kbd-bg: #212529;--quarto-scss-export-nested-kbd-font-weight: ;--quarto-scss-export-pre-bg: #f8f9fa;--quarto-scss-export-pre-color: #000;--quarto-scss-export-bslib-page-sidebar-title-bg: white;--quarto-scss-export-bslib-page-sidebar-title-color: #000;--quarto-scss-export-bslib-sidebar-bg: rgba(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.05);--quarto-scss-export-bslib-sidebar-toggle-bg: rgba(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.1);--quarto-scss-export-sidebar-color: rgb(89.25, 89.25, 89.25);--quarto-scss-export-sidebar-hover-color: rgba(9.75, 82.5, 189.75, 0.8);--quarto-scss-export-sidebar-disabled-color: rgba(89.25, 89.25, 89.25, 0.75);--quarto-scss-export-valuebox-bg-primary: #0d6efd;--quarto-scss-export-valuebox-bg-secondary: #6c757d;--quarto-scss-export-valuebox-bg-success: #198754;--quarto-scss-export-valuebox-bg-info: #0dcaf0;--quarto-scss-export-valuebox-bg-warning: #ffc107;--quarto-scss-export-valuebox-bg-danger: #dc3545;--quarto-scss-export-valuebox-bg-light: #f8f9fa;--quarto-scss-export-valuebox-bg-dark: #212529;--quarto-scss-export-mermaid-bg-color: #ffffff;--quarto-scss-export-mermaid-edge-color: #6c757d;--quarto-scss-export-mermaid-node-fg-color: #212529;--quarto-scss-export-mermaid-fg-color: #212529;--quarto-scss-export-mermaid-fg-color--lighter: rgb(55.7432432432, 62.5, 69.2567567568);--quarto-scss-export-mermaid-fg-color--lightest: rgb(78.4864864865, 88, 97.5135135135);--quarto-scss-export-mermaid-label-bg-color: #ffffff;--quarto-scss-export-mermaid-label-fg-color: #0d6efd;--quarto-scss-export-mermaid-node-bg-color: rgba(13, 110, 253, 0.1);--quarto-scss-export-code-block-border-left-color: #dee2e6;--quarto-scss-export-callout-color-note: #0d6efd;--quarto-scss-export-callout-color-tip: #198754;--quarto-scss-export-callout-color-important: #dc3545;--quarto-scss-export-callout-color-caution: #fd7e14;--quarto-scss-export-callout-color-warning: #ffc107} \ No newline at end of file diff --git a/docs/site_libs/quarto-html/axe/axe-check.js b/docs/site_libs/quarto-html/axe/axe-check.js new file mode 100644 index 0000000..8808085 --- /dev/null +++ b/docs/site_libs/quarto-html/axe/axe-check.js @@ -0,0 +1,145 @@ +class QuartoAxeReporter { + constructor(axeResult, options) { + this.axeResult = axeResult; + this.options = options; + } + + report() { + throw new Error("report() is an abstract method"); + } +} + +class QuartoAxeJsonReporter extends QuartoAxeReporter { + constructor(axeResult, options) { + super(axeResult, options); + } + + report() { + console.log(JSON.stringify(this.axeResult, null, 2)); + } +} + +class QuartoAxeConsoleReporter extends QuartoAxeReporter { + constructor(axeResult, options) { + super(axeResult, options); + } + + report() { + for (const violation of this.axeResult.violations) { + console.log(violation.description); + for (const node of violation.nodes) { + for (const target of node.target) { + console.log(target); + console.log(document.querySelector(target)); + } + } + } + } +} + +class QuartoAxeDocumentReporter extends QuartoAxeReporter { + constructor(axeResult, options) { + super(axeResult, options); + } + + createViolationElement(violation) { + const violationElement = document.createElement("div"); + + const descriptionElement = document.createElement("div"); + descriptionElement.className = "quarto-axe-violation-description"; + descriptionElement.innerText = `${violation.impact.replace(/^[a-z]/, match => match.toLocaleUpperCase())}: ${violation.description}`; + violationElement.appendChild(descriptionElement); + + const helpElement = document.createElement("div"); + helpElement.className = "quarto-axe-violation-help"; + helpElement.innerText = violation.help; + violationElement.appendChild(helpElement); + + const nodesElement = document.createElement("div"); + nodesElement.className = "quarto-axe-violation-nodes"; + violationElement.appendChild(nodesElement); + const nodeElement = document.createElement("div"); + nodeElement.className = "quarto-axe-violation-selector"; + for (const node of violation.nodes) { + for (const target of node.target) { + const targetElement = document.createElement("span"); + targetElement.className = "quarto-axe-violation-target"; + targetElement.innerText = target; + nodeElement.appendChild(targetElement); + nodeElement.addEventListener("mouseenter", () => { + const element = document.querySelector(target); + if (element) { + element.scrollIntoView({ behavior: "smooth", block: "center" }); + element.classList.add("quarto-axe-hover-highlight"); + setTimeout(() => { + element.style.border = ""; + }, 2000); + } + }); + nodeElement.addEventListener("mouseleave", () => { + const element = document.querySelector(target); + if (element) { + element.classList.remove("quarto-axe-hover-highlight"); + } + }); + nodeElement.addEventListener("click", () => { + console.log(document.querySelector(target)); + }); + nodeElement.appendChild(targetElement); + } + nodesElement.appendChild(nodeElement); + } + return violationElement; + } + + report() { + const violations = this.axeResult.violations; + const reportElement = document.createElement("div"); + reportElement.className = "quarto-axe-report"; + if (violations.length === 0) { + const noViolationsElement = document.createElement("div"); + noViolationsElement.className = "quarto-axe-no-violations"; + noViolationsElement.innerText = "No axe-core violations found."; + reportElement.appendChild(noViolationsElement); + } + violations.forEach((violation) => { + reportElement.appendChild(this.createViolationElement(violation)); + }); + document.querySelector("main").appendChild(reportElement); + } +} + +const reporters = { + json: QuartoAxeJsonReporter, + console: QuartoAxeConsoleReporter, + document: QuartoAxeDocumentReporter, +}; + +class QuartoAxeChecker { + constructor(opts) { + this.options = opts; + } + async init() { + const axe = (await import("https://cdn.skypack.dev/pin/axe-core@v4.10.3-aVOFXWsJaCpVrtv89pCa/mode=imports,min/optimized/axe-core.js")).default; + const result = await axe.run({ + exclude: [ + // https://github.com/microsoft/tabster/issues/288 + // MS has claimed they won't fix this, so we need to add an exclusion to + // all tabster elements + "[data-tabster-dummy]" + ], + preload: { assets: ['cssom'], timeout: 50000 } + }); + const reporter = this.options === true ? new QuartoAxeConsoleReporter(result) : new reporters[this.options.output](result, this.options); + reporter.report(); + } +} + +export async function init() { + const opts = document.querySelector("#quarto-axe-checker-options"); + if (opts) { + const jsonOptions = JSON.parse(atob(opts.textContent)); + const checker = new QuartoAxeChecker(jsonOptions); + await checker.init(); + } +} \ No newline at end of file diff --git a/docs/site_libs/quarto-html/quarto-syntax-highlighting-ed96de9b727972fe78a7b5d16c58bf87.css b/docs/site_libs/quarto-html/quarto-syntax-highlighting-ed96de9b727972fe78a7b5d16c58bf87.css new file mode 100644 index 0000000..7bb4f73 --- /dev/null +++ b/docs/site_libs/quarto-html/quarto-syntax-highlighting-ed96de9b727972fe78a7b5d16c58bf87.css @@ -0,0 +1,236 @@ +/* quarto syntax highlight colors */ +:root { + --quarto-hl-ot-color: #003B4F; + --quarto-hl-at-color: #657422; + --quarto-hl-ss-color: #20794D; + --quarto-hl-an-color: #5E5E5E; + --quarto-hl-fu-color: #4758AB; + --quarto-hl-st-color: #20794D; + --quarto-hl-cf-color: #003B4F; + --quarto-hl-op-color: #5E5E5E; + --quarto-hl-er-color: #AD0000; + --quarto-hl-bn-color: #AD0000; + --quarto-hl-al-color: #AD0000; + --quarto-hl-va-color: #111111; + --quarto-hl-bu-color: inherit; + --quarto-hl-ex-color: inherit; + --quarto-hl-pp-color: #AD0000; + --quarto-hl-in-color: #5E5E5E; + --quarto-hl-vs-color: #20794D; + --quarto-hl-wa-color: #5E5E5E; + --quarto-hl-do-color: #5E5E5E; + --quarto-hl-im-color: #00769E; + --quarto-hl-ch-color: #20794D; + --quarto-hl-dt-color: #AD0000; + --quarto-hl-fl-color: #AD0000; + --quarto-hl-co-color: #5E5E5E; + --quarto-hl-cv-color: #5E5E5E; + --quarto-hl-cn-color: #8f5902; + --quarto-hl-sc-color: #5E5E5E; + --quarto-hl-dv-color: #AD0000; + --quarto-hl-kw-color: #003B4F; +} + +/* other quarto variables */ +:root { + --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; +} + +/* syntax highlight based on Pandoc's rules */ +pre > code.sourceCode > span { + color: #003B4F; +} + +code.sourceCode > span { + color: #003B4F; +} + +div.sourceCode, +div.sourceCode pre.sourceCode { + color: #003B4F; +} + +/* Normal */ +code span { + color: #003B4F; +} + +/* Alert */ +code span.al { + color: #AD0000; + font-style: inherit; +} + +/* Annotation */ +code span.an { + color: #5E5E5E; + font-style: inherit; +} + +/* Attribute */ +code span.at { + color: #657422; + font-style: inherit; +} + +/* BaseN */ +code span.bn { + color: #AD0000; + font-style: inherit; +} + +/* BuiltIn */ +code span.bu { + font-style: inherit; +} + +/* ControlFlow */ +code span.cf { + color: #003B4F; + font-weight: bold; + font-style: inherit; +} + +/* Char */ +code span.ch { + color: #20794D; + font-style: inherit; +} + +/* Constant */ +code span.cn { + color: #8f5902; + font-style: inherit; +} + +/* Comment */ +code span.co { + color: #5E5E5E; + font-style: inherit; +} + +/* CommentVar */ +code span.cv { + color: #5E5E5E; + font-style: italic; +} + +/* Documentation */ +code span.do { + color: #5E5E5E; + font-style: italic; +} + +/* DataType */ +code span.dt { + color: #AD0000; + font-style: inherit; +} + +/* DecVal */ +code span.dv { + color: #AD0000; + font-style: inherit; +} + +/* Error */ +code span.er { + color: #AD0000; + font-style: inherit; +} + +/* Extension */ +code span.ex { + font-style: inherit; +} + +/* Float */ +code span.fl { + color: #AD0000; + font-style: inherit; +} + +/* Function */ +code span.fu { + color: #4758AB; + font-style: inherit; +} + +/* Import */ +code span.im { + color: #00769E; + font-style: inherit; +} + +/* Information */ +code span.in { + color: #5E5E5E; + font-style: inherit; +} + +/* Keyword */ +code span.kw { + color: #003B4F; + font-weight: bold; + font-style: inherit; +} + +/* Operator */ +code span.op { + color: #5E5E5E; + font-style: inherit; +} + +/* Other */ +code span.ot { + color: #003B4F; + font-style: inherit; +} + +/* Preprocessor */ +code span.pp { + color: #AD0000; + font-style: inherit; +} + +/* SpecialChar */ +code span.sc { + color: #5E5E5E; + font-style: inherit; +} + +/* SpecialString */ +code span.ss { + color: #20794D; + font-style: inherit; +} + +/* String */ +code span.st { + color: #20794D; + font-style: inherit; +} + +/* Variable */ +code span.va { + color: #111111; + font-style: inherit; +} + +/* VerbatimString */ +code span.vs { + color: #20794D; + font-style: inherit; +} + +/* Warning */ +code span.wa { + color: #5E5E5E; + font-style: italic; +} + +.prevent-inlining { + content: " Date: Thu, 26 Feb 2026 15:34:01 +0100 Subject: [PATCH 2/4] this file gives error and I don't know why --- docs/search.json | 51 ------------------------------------------------ 1 file changed, 51 deletions(-) diff --git a/docs/search.json b/docs/search.json index 62f441a..5de5a69 100644 --- a/docs/search.json +++ b/docs/search.json @@ -2444,57 +2444,6 @@ "href": "course/03_InsideFCSFile/index.html#flowcore-parameters", "title": "03 - Inside an FCS File", "section": "flowCore Parameters", -<<<<<<< HEAD "text": "flowCore Parameters\n\n\n\n\n\n\n\n\n.\n\n\nDepending on the arguments selected during read.FCS(), we might also encounter additional keywords that are added in by flowCore. For example, we do not see these keywords when “transformation” is set to FALSE.\n\n\n\n\n\n\n\nflowCoreCheck <- read.FCS(filename=firstfile,\n transformation = FALSE, truncate_max_range = FALSE)\n\nflowCoreCheck\n\nflowFrame object 'CellCounts4L_AB_05-ND050-05.fcs'\nwith 100 cells and 61 observables:\n name desc range minRange maxRange\n$P1 Time NA 272140 0 272139\n$P2 UV1-A NA 4194304 -111 4194303\n$P3 UV2-A NA 4194304 -111 4194303\n$P4 UV3-A NA 4194304 -111 4194303\n$P5 UV4-A NA 4194304 -111 4194303\n... ... ... ... ... ...\n$P57 R4-A NA 4194304 -111 4194303\n$P58 R5-A NA 4194304 -111 4194303\n$P59 R6-A NA 4194304 -111 4194303\n$P60 R7-A NA 4194304 -111 4194303\n$P61 R8-A NA 4194304 -111 4194303\n476 keywords are stored in the 'description' slot" - }, - { - "objectID": "course/01_InstallingRPackages/homeworks/MacarenaLM-w1/Problem3-w1.html", - "href": "course/01_InstallingRPackages/homeworks/MacarenaLM-w1/Problem3-w1.html", - "title": "Problem 3_Installation of packages using Pak", - "section": "", - "text": "# First, *pak* needs to be installed\n\ninstall.packages(\"pak\")\n\n\n# Then, *pak* needs to be activated\nlibrary(pak)\n\nNow, I can install broom, cytoMEM and DillonHammill/CytoExploreR using pak. Let’s go! ## broom\n\n# *broom* is a package located in the CRAN repository\npak::pkg_install(\"broom\")\n\n¡" - }, - { - "objectID": "course/01_InstallingRPackages/homeworks/MacarenaLM-w1/problem3/Problem3-w1.html", - "href": "course/01_InstallingRPackages/homeworks/MacarenaLM-w1/problem3/Problem3-w1.html", - "title": "Problem 3_Installation of packages using Pak", - "section": "", - "text": "# First, *pak* needs to be installed\n\ninstall.packages(\"pak\")\n\n\n# Then, *pak* needs to be activated\nlibrary(pak)\n\nNow, I can install broom, cytoMEM and DillonHammill/CytoExploreR using pak. Let’s go! ## broom\n\n# *broom* is a package located in the CRAN repository\npak::pkg_install(\"broom\")\n\n¡" -======= - "text": "flowCore Parameters\nDepending on the arguments selected during read.FCS(), we might also encounter additional keywords that are added in by flowCore. For example, we do not see these keywords when “transformation” is set to FALSE.\n\nflowCoreCheck <- read.FCS(filename=firstfile,\n transformation = FALSE, truncate_max_range = FALSE)\n\nflowCoreCheck\n\nflowFrame object 'CellCounts4L_AB_05-ND050-05.fcs'\nwith 100 cells and 61 observables:\n name desc range minRange maxRange\n$P1 Time NA 272140 0 272139\n$P2 UV1-A NA 4194304 -111 4194303\n$P3 UV2-A NA 4194304 -111 4194303\n$P4 UV3-A NA 4194304 -111 4194303\n$P5 UV4-A NA 4194304 -111 4194303\n... ... ... ... ... ...\n$P57 R4-A NA 4194304 -111 4194303\n$P58 R5-A NA 4194304 -111 4194303\n$P59 R6-A NA 4194304 -111 4194303\n$P60 R7-A NA 4194304 -111 4194303\n$P61 R8-A NA 4194304 -111 4194303\n476 keywords are stored in the 'description' slot\n\n\n\nNoChange <- keyword(flowCoreCheck)\nDetectors <- NoChange [476:500]\nDetectors\n\n$`WINDOW EXTENSION`\n[1] \"3\"\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n$<NA>\nNULL\n\n\nBy contrast, if we had set “transformation” to TRUE:\n\nflowCoreCheck <- read.FCS(filename=firstfile,\n transformation = TRUE, truncate_max_range = FALSE)\n\nflowCoreCheck\n\nflowFrame object 'CellCounts4L_AB_05-ND050-05.fcs'\nwith 100 cells and 61 observables:\n name desc range minRange maxRange\n$P1 Time NA 272140 0 272139\n$P2 UV1-A NA 4194304 -111 4194303\n$P3 UV2-A NA 4194304 -111 4194303\n$P4 UV3-A NA 4194304 -111 4194303\n$P5 UV4-A NA 4194304 -111 4194303\n... ... ... ... ... ...\n$P57 R4-A NA 4194304 -111 4194303\n$P58 R5-A NA 4194304 -111 4194303\n$P59 R6-A NA 4194304 -111 4194303\n$P60 R7-A NA 4194304 -111 4194303\n$P61 R8-A NA 4194304 -111 4194303\n599 keywords are stored in the 'description' slot\n\n\n\nYesChange <- keyword(flowCoreCheck)\nDetectors <- YesChange [476:500]\nDetectors\n\n$`WINDOW EXTENSION`\n[1] \"3\"\n\n$transformation\n[1] \"applied\"\n\n$`flowCore_$P1Rmax`\n[1] \"272140\"\n\n$`flowCore_$P1Rmin`\n[1] \"0\"\n\n$`flowCore_$P2Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P2Rmin`\n[1] \"-111\"\n\n$`flowCore_$P3Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P3Rmin`\n[1] \"-111\"\n\n$`flowCore_$P4Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P4Rmin`\n[1] \"-111\"\n\n$`flowCore_$P5Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P5Rmin`\n[1] \"-111\"\n\n$`flowCore_$P6Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P6Rmin`\n[1] \"-111\"\n\n$`flowCore_$P7Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P7Rmin`\n[1] \"-111\"\n\n$`flowCore_$P8Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P8Rmin`\n[1] \"-26.3464946746826\"\n\n$`flowCore_$P9Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P9Rmin`\n[1] \"-111\"\n\n$`flowCore_$P10Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P10Rmin`\n[1] \"0\"\n\n$`flowCore_$P11Rmax`\n[1] \"4194304\"\n\n$`flowCore_$P11Rmin`\n[1] \"-111\"\n\n$`flowCore_$P12Rmax`\n[1] \"4194304\"\n\n\n\n\nFor some flow cytometry R packages, you will notice when opening their exported .fcs outputs in commercial software that these flowCore keywords have ended up integrated. It is likely somewhere in the package code the author forgot to add set transformation to FALSE, which is why we are seeing these flowCore keywords after the fact.", - "crumbs": [ - "About", - "Intro to R", - "03 - Inside a .FCS file" - ] - }, - { - "objectID": "course/04_IntroToTidyverse/BonusContent.html", - "href": "course/04_IntroToTidyverse/BonusContent.html", - "title": "Bonus Content", - "section": "", - "text": "thefilepath <- file.path(\"data\", \"Dataset.csv\")\n\nthefilepath\n\n[1] \"data/Dataset.csv\"\nData <- read.csv(file=thefilepath, check.names=FALSE)\ncolnames(Data)\n\n [1] \"bid\" \"timepoint\" \"Condition\" \n [4] \"Date\" \"infant_sex\" \"ptype\" \n [7] \"root\" \"singletsFSC\" \"singletsSSC\" \n[10] \"singletsSSCB\" \"CD45\" \"NotMonocytes\" \n[13] \"nonDebris\" \"lymphocytes\" \"live\" \n[16] \"Dump+\" \"Dump-\" \"Tcells\" \n[19] \"Vd2+\" \"Vd2-\" \"Va7.2+\" \n[22] \"Va7.2-\" \"CD4+\" \"CD4-\" \n[25] \"CD8+\" \"CD8-\" \"Tcells_count\" \n[28] \"lymphocytes_count\" \"Monocytes\" \"Debris\" \n[31] \"CD45_count\"" - }, - { - "objectID": "course/04_IntroToTidyverse/BonusContent.html#pull", - "href": "course/04_IntroToTidyverse/BonusContent.html#pull", - "title": "Bonus Content", - "section": "Pull", - "text": "Pull" - }, - { - "objectID": "course/04_IntroToTidyverse/BonusContent.html#case-when", - "href": "course/04_IntroToTidyverse/BonusContent.html#case-when", - "title": "Bonus Content", - "section": "Case-When", - "text": "Case-When\nCase-when is an useful function, but may be a bit much to try to teach in the main segment. Basically, when the condition on the left side of the ~ is fulfilled, it will execute what is being specified on the right hand side.\nIn turn, we can combine these together by adding a “,”. I tend to use this mutate str_detect case_when combination when encountering messy data out in the while where I need to selectively change particular cell values in a consistent reproducible manner" - }, - { - "objectID": "course/04_IntroToTidyverse/BonusContent.html#selecting-columns-base-r", - "href": "course/04_IntroToTidyverse/BonusContent.html#selecting-columns-base-r", - "title": "Bonus Content", - "section": "Selecting Columns (Base R)", - "text": "Selecting Columns (Base R)\nAs we saw last week, there are multiple ways to select values from particular columns in base R. If we had wanted to retrieve the “Date” column, why not first identify its index position, and use [,] to extract the underlying data?\n\ncolnames(Data)\n\n [1] \"bid\" \"timepoint\" \"Condition\" \n [4] \"Date\" \"infant_sex\" \"ptype\" \n [7] \"root\" \"singletsFSC\" \"singletsSSC\" \n[10] \"singletsSSCB\" \"CD45\" \"NotMonocytes\" \n[13] \"nonDebris\" \"lymphocytes\" \"live\" \n[16] \"Dump+\" \"Dump-\" \"Tcells\" \n[19] \"Vd2+\" \"Vd2-\" \"Va7.2+\" \n[22] \"Va7.2-\" \"CD4+\" \"CD4-\" \n[25] \"CD8+\" \"CD8-\" \"Tcells_count\" \n[28] \"lymphocytes_count\" \"Monocytes\" \"Debris\" \n[31] \"CD45_count\" \n\n\n\ncolnames(Data)[4]\n\n[1] \"Date\"\n\n\n\nDataColumn <- Data[,4] # Column specified after the ,\nDataColumn\n\n [1] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n [6] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n [11] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n [16] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n [21] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n [26] \"2025-07-26\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\"\n [31] \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\"\n [36] \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\"\n [41] \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-29\"\n [46] \"2025-07-29\" \"2025-07-29\" \"2025-07-29\" \"2025-07-31\" \"2025-07-31\"\n [51] \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\"\n [56] \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\"\n [61] \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\"\n [66] \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\"\n [71] \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\" \"2025-07-31\"\n [76] \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\"\n [81] \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\"\n [86] \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\"\n [91] \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-05\"\n [96] \"2025-08-05\" \"2025-08-05\" \"2025-08-05\" \"2025-08-07\" \"2025-08-07\"\n[101] \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\"\n[106] \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\"\n[111] \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\"\n[116] \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\"\n[121] \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-07\" \"2025-08-22\"\n[126] \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\"\n[131] \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\"\n[136] \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\"\n[141] \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\"\n[146] \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\" \"2025-08-22\"\n[151] \"2025-08-22\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\"\n[156] \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\"\n[161] \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\"\n[166] \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\"\n[171] \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-28\"\n[176] \"2025-08-28\" \"2025-08-28\" \"2025-08-28\" \"2025-08-30\" \"2025-08-30\"\n[181] \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\"\n[186] \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\"\n[191] \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\" \"2025-08-30\"\n[196] \"2025-08-30\"\n\n\nHowever, looking at the output, we see this looks like the values, not a column. Our suspicions are confirmed when running DataColumn\n\nstr(DataColumn)\n\n chr [1:196] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" ...\n\n\nThis is similarly the case when we use the $ accessor.\n\nDataColumn <- Data$Date\nstr(DataColumn)\n\n chr [1:196] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" \"2025-07-26\" ...\n\n\n\nhead(DataColumn, 3)\n\n[1] \"2025-07-26\" \"2025-07-26\" \"2025-07-26\"\n\n\nBy contrast, when selecting two columns, the structure is maintained.\n\nTwoColumns <- Data[,4:5]\n\nWhy is the data.frame column structure lost in base R when isolating a single data.frame column? And who thought to make it that convoluted? If we were an R course in early 2010s, we might go into an explanation, but fortunately, we don’t need to understand why, we have the dplyr R package to rescue us." ->>>>>>> acca3f38b50ce11d043b7b03f3cbcf66b2d4c255 } ] \ No newline at end of file From 61120c27de93dbc7e26356168f673ce221122f52 Mon Sep 17 00:00:00 2001 From: MacarenaLM Date: Fri, 27 Feb 2026 12:09:01 +0100 Subject: [PATCH 3/4] week2 homeworks from MacarenaLM --- .../homeworks/MacarenaLM/week2.qmd | 200 ++++++++++++++++++ 1 file changed, 200 insertions(+) create mode 100644 course/02_FilePaths/homeworks/MacarenaLM/week2.qmd diff --git a/course/02_FilePaths/homeworks/MacarenaLM/week2.qmd b/course/02_FilePaths/homeworks/MacarenaLM/week2.qmd new file mode 100644 index 0000000..14833b5 --- /dev/null +++ b/course/02_FilePaths/homeworks/MacarenaLM/week2.qmd @@ -0,0 +1,200 @@ +--- +title: week2 homeworks +author: Macarena López-Mayorga +date: 2026-02-26 +format: html +--- +# Problem 1 +First of all, I want to check where we are + +```{r} +#| eval: FALSE +getwd() +``` +[1] "c:/Users/Macarena/CytometryInR" + +So, we are at the top, in the folder "CytometryInR". I'm going to use the file path function to indicate where is the USB unit + +```{r} +#| eval: FALSE +FoldersLocation <- file.path("E:") +FoldersLocation +``` +[1] "E:" + +Now, I want to see the files in the USB unit + +```{r} +#| eval: FALSE +list.files(path=FoldersLocation, full.names=FALSE, recursive=FALSE) +``` + [1] "all data microarrays" "Back Up Your Files to the Cloud.pdf" "CABD meeting 01062020" + [4] "CABD_meeting01062020-9.pptx" "craneos Bex3" "DE-standard-HOXD13-RBFOX2_29072015.pcrd" + [7] "DE-standard-HOXD13-RBFOX2_29072015.pltd" "Desktop DB" "Desktop DF" +[10] "Entrega_GENext99-18_raw data microarrays EEE" "figuras y pies pdf" "FILEID.DAT" +[13] "FINDER.DAT" "fotos Claudia imprimir" "Macarena pics backup 28032019" +[16] "New pics ISH PAE-LIMBS" "pics backup 08052019" "pics backup 29082018" +[19] "presupuestos y vales pedido" "SanDiskSecureAccess" "SanDiskSecureAccessV3.1_win.exe" +[22] "sdh" "System Volume Information" "TargetFolder" +[25] "TEMA_II_ETICA_V2018.ppt" "TEMA_II_ETICA_V2019MLM.ppt" "Tema_IV_Reconocimiento_Dolor_2018.ppt" +[28] "Temario_especifico" "tesis" "TheVolumeSettingsFolder" + +```{r} +#| eval: FALSE +# To check that, indeed, there is no files in TargetFolder +FilesPresent <- list.files("E:/TargetFolder", full.names=FALSE, recursive=FALSE) +FilesPresent +``` +character(0) + +So, R is able to "see" the files and folders in the USB unit. Now, I have a folder in my desktop, FCS DATA, with some fcs experiments. I'm going to copy some of them to the TargetFolder, in the USB unit. + + +```{r} +#| eval: FALSE +# First, I want to name them and see the path and check if everything goes well +MyFCSfiles <- list.files("C:/Users/Macarena/Desktop/FCS DATA/020425 3.0", pattern=".fcs", full.names=TRUE, recursive=FALSE) +MyFCSfiles +``` + [1] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/1 SP BLANCO_Data Source - 1.fcs" + [2] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/10 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" + [3] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/11 hBO LVDV +CD56 PercP-Cy5.5 - 1_Data Source - 1.fcs" + [4] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/2 SP CONTROL DAPI_Data Source - 1.fcs" + [5] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/3 SP CD3 BV785 _Data Source - 1.fcs" + [6] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/4 SP CD172 PercP-eF710_Data Source - 1.fcs" + [7] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/5 SP CD3+DAPI_Data Source - 1.fcs" + [8] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/6 SP CD172+DAPI_Data Source - 1.fcs" + [9] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/7 hBO BLANCO_Data Source - 1.fcs" +[10] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/8 hBO LIVEDEAD_Data Source - 1.fcs" +[11] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/9 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" + +```{r} +#| eval: FALSE +# Now, I'm going to copy them to the folder in the USB unit +file.copy(from=MyFCSfiles, to="E:/TargetFolder") +``` + [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE + + They are already copied into the TargetFolder, in the USB unit + +```{r} +#| eval: FALSE +# to check the files in the TargetFolder +FilesCopied <- list.files("E:/TargetFolder", full.names=FALSE, recursive=FALSE) +FilesCopied +``` + [1] "1 SP BLANCO_Data Source - 1.fcs" "10 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" + [3] "11 hBO LVDV +CD56 PercP-Cy5.5 - 1_Data Source - 1.fcs" "2 SP CONTROL DAPI_Data Source - 1.fcs" + [5] "3 SP CD3 BV785 _Data Source - 1.fcs" "4 SP CD172 PercP-eF710_Data Source - 1.fcs" + [7] "5 SP CD3+DAPI_Data Source - 1.fcs" "6 SP CD172+DAPI_Data Source - 1.fcs" + [9] "7 hBO BLANCO_Data Source - 1.fcs" "8 hBO LIVEDEAD_Data Source - 1.fcs" +[11] "9 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" + +# Problem 2 +Let's see all files and folders present in "FCS DATA", in my desktop + +```{r} +#| eval: FALSE +AllFiles <- list.files("C:/Users/Macarena/Desktop/FCS DATA", full.names=TRUE, recursive=TRUE) +AllFiles +``` + [1] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/1 SP BLANCO_Data Source - 1.fcs" + [2] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/10 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" + [3] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/11 hBO LVDV +CD56 PercP-Cy5.5 - 1_Data Source - 1.fcs" + [4] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/2 SP CONTROL DAPI_Data Source - 1.fcs" + [5] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/3 SP CD3 BV785 _Data Source - 1.fcs" + [6] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/4 SP CD172 PercP-eF710_Data Source - 1.fcs" + [7] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/5 SP CD3+DAPI_Data Source - 1.fcs" + [8] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/6 SP CD172+DAPI_Data Source - 1.fcs" + [9] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/7 hBO BLANCO_Data Source - 1.fcs" +[10] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/8 hBO LIVEDEAD_Data Source - 1.fcs" +[11] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/9 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" +[12] "C:/Users/Macarena/Desktop/FCS DATA/020425 3.0/FCS_Floreada.xml" +[13] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/1 SP BLANCO_Data Source - 1.fcs" +[14] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/10 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" +[15] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/11 hBO LVDV +CD56 PercP-Cy5.5 - 1_Data Source - 1.fcs" +[16] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/2 SP CONTROL DAPI_Data Source - 1.fcs" +[17] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/3 SP CD3 BV785 _Data Source - 1.fcs" +[18] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/4 SP CD172 PercP-eF710_Data Source - 1.fcs" +[19] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/5 SP CD3+DAPI_Data Source - 1.fcs" +[20] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/6 SP CD172+DAPI_Data Source - 1.fcs" +[21] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/7 hBO BLANCO_Data Source - 1.fcs" +[22] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/8 hBO LIVEDEAD_Data Source - 1.fcs" +[23] "C:/Users/Macarena/Desktop/FCS DATA/020425 RATON Y EMBRIOIDES 3.1/020425 3.1/9 hBO CD56 PercP-Cy5.5_Data Source - 1.fcs" +[24] "C:/Users/Macarena/Desktop/FCS DATA/curso citometría en R/FCS_Floreada.xml" +[25] "C:/Users/Macarena/Desktop/FCS DATA/curso citometría en R/FCS_FlowJO.wsp" + +Searching online I found this code that seems the most easiest one to remember +```{r} +#| eval: FALSE +AllDirectories <- list.dirs("C:/Users/Macarena/Desktop/FCS DATA", recursive = FALSE, full.names = FALSE) +AllDirectories +``` +[1] "020425 3.0" "020425 RATON Y EMBRIOIDES 3.1" "curso citometría en R" + +With this code, R only show you the folders in "FCS DATA" + +# Problem 3 +First, I need to know the path of FlowSOM and flowWorkspace + +```{r} +#| eval: FALSE +system.file("extdata", package = "FlowSOM") +``` +[1] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata" + + +```{r} +#| eval: FALSE +system.file("extdata", package = "flowWorkspace") +``` +[1] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/flowWorkspace/extdata" + + +```{r} +#| eval: FALSE +# Let's see what files are in the FlowSOM directory +FlowSOMFiles <- list.files("C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata", full.names=TRUE, recursive=FALSE) +FlowSOMFiles +``` +[1] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata/68983.fcs" +[2] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata/gating.wsp" +[3] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata/gatingResult.csv" +[4] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata/manualGating.xml" + + +```{r} +#| eval: FALSE +# Now, I name the path "FlowSOMFiles" +FlowSOMFiles <- file.path ("C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata") +FlowSOMFiles +``` +```{r} +#| eval: FALSE +# Finally, I just want to see the fcs file +list.files(path=FlowSOMFiles, pattern=".fcs", full.names=TRUE, recursive=TRUE) +``` +[1] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/FlowSOM/extdata/68983.fcs" + + +```{r} +#| eval: FALSE +# I repeat the same process for flowWorkspace +flowWorkspaceFilesList <- list.files("C:/Users/Macarena/AppData/Local/R/win-library/4.5/flowWorkspace/extdata", full.names=TRUE, recursive=TRUE) +flowWorkspaceFilesList +``` +[1] "C:/Users/Macarena/AppData/Local/R/win-library/4.5/flowWorkspace/extdata/empty_workspace_9.2.xml" + +In this case, it seems that there is no fcs file in the flowWorkspace directory, but I am going to look specifically for fcs files + +```{r} +#| eval: FALSE +flowWorkspaceFilesFCS <- file.path("C:/Users/Macarena/AppData/Local/R/win-library/4.5/flowWorkspace/extdata") +flowWorkspaceFilesFCS +``` + +```{r} +list.files(path=flowWorkspaceFilesFCS, pattern=".fcs", full.names=TRUE, recursive=TRUE) +``` +character(0) +So, indeed, there is no fcs files in this directory \ No newline at end of file From 038a5205cb318d44c3801cf83051c776c0db8171 Mon Sep 17 00:00:00 2001 From: MacarenaLM Date: Thu, 5 Mar 2026 15:43:51 +0100 Subject: [PATCH 4/4] first commitment week 3 --- .../homeworks/MacarenaLM/week3.qmd | 219 ++++++++++++++++++ 1 file changed, 219 insertions(+) create mode 100644 course/03_InsideFCSFile/homeworks/MacarenaLM/week3.qmd diff --git a/course/03_InsideFCSFile/homeworks/MacarenaLM/week3.qmd b/course/03_InsideFCSFile/homeworks/MacarenaLM/week3.qmd new file mode 100644 index 0000000..ce61c2e --- /dev/null +++ b/course/03_InsideFCSFile/homeworks/MacarenaLM/week3.qmd @@ -0,0 +1,219 @@ +--- +title: week3_inside an FCS file +author: Macarena López-Mayorga +date: 2026-03-05 +format: html +--- +We are going to work with some fcs files located in the week3. First, we have to locate them and name them + +```{r} +#| eval: FALSE +PathToDataFolder <- file.path("C:/Users/Macarena/CytometryInR/course/03_InsideFCSFile/data") +> PathToDataFolder +``` +[1] "C:/Users/Macarena/CytometryInR/course/03_InsideFCSFile/data" + +```{r} +#| eval: FALSE +fcs_files <- list.files(PathToDataFolder, full.names=TRUE, pattern=".fcs") +> fcs_files +``` +[1] "C:/Users/Macarena/CytometryInR/course/03_InsideFCSFile/data/CellCounts4L_AB_05_ND050_05.fcs" + +Next, we are going to use flowCore. We have to call it using library function + +```{r} +#| eval: FALSE +library(flowCore) +``` + +we are going to use the read.fcs function. Let's see the help documentation + +```{r} +#|eval: FALSE +?read.FCS +``` + + +```{r} +#| eval: FALSE +firstfile <- fcs_files[1] +firstfile +``` + +For the function read.FCS, let's use just the first argument for the moment + +```{r} +#| eval: FALSE +read.FCS(filename=firstfile) +``` +flowFrame object 'CellCounts4L_AB_05-ND050-05.fcs' +with 100 cells and 61 observables: + name desc range minRange maxRange +$P1 Time NA 272140 0 272139 +$P2 UV1-A NA 4194304 -111 4194303 +$P3 UV2-A NA 4194304 -111 4194303 +$P4 UV3-A NA 4194304 -111 4194303 +$P5 UV4-A NA 4194304 -111 4194303 +... ... ... ... ... ... +$P57 R4-A NA 4194304 -111 4194303 +$P58 R5-A NA 4194304 -111 4194303 +$P59 R6-A NA 4194304 -111 4194303 +$P60 R7-A NA 4194304 -111 4194303 +$P61 R8-A NA 4194304 -111 4194303 +599 keywords are stored in the 'description' slot + +R gives back what resembles a table, with the number of cells, the name of files, the name of detectors (column labelled as "name") + + +```{r} +#| eval: FALSE +flowFrame <- read.FCS(filename=firstfile, transformation = FALSE, truncate_max_range = FALSE) +``` +Let's see what kind of file is now + + +```{r} +#| eval: FALSE +class(flowFrame) +``` +[1] "flowFrame" +attr(,"package") +[1] "flowCore" +This is a new type of file named as "S4 object". At the right panel, there is a drop-down in the flowFrame file with 3 slots. The first one, "exprs", has a grid symbol. If we click it, we can see a table with the individual detectors and the data of each cell (until 100). To study this matrix in more detail, we are going to assign a value. Because this is a S4 object, we have to indicate the value specifically to this slot. + +```{r} +#| eval: FALSE +MFI_Matrix <- flowFrame@exprs +``` + +Alternatively, we can use the Bioconductor helper function + +```{r} +#| eval: FALSE +MFI_Matrix_Alternate <- exprs(flowFrame) +``` + +With this last code, we can see a few rows, since all the data will be very complicated to work with + +```{r} +#| eval: FALSE +head(MFI_Matrix, 5) +``` + Time UV1-A UV2-A UV3-A UV4-A UV5-A UV6-A UV7-A UV8-A UV9-A UV10-A UV11-A UV12-A +[1,] 38823 37.79983 -184.479996 353.87714 1106.22998 1145.18140 2130.21899 4376.34277 3246.7952 32050.65039 8123.2637 1992.5785 1070.3323 +[2,] 39780 234.23021 -98.456429 26.43876 70.65833 -89.93541 -29.14263 -26.34649 -162.6675 17.98848 271.9152 154.8575 163.5411 +[3,] 267292 -117.96355 40.732426 473.94574 1177.86975 1516.70935 1985.46130 3658.87671 4140.1724 59792.16406 14013.7969 3427.4324 1668.7588 +[4,] 128101 289.87671 -2.723389 -54.11960 -163.71489 32.62989 -134.90411 739.71960 402.9025 427.37534 315.6364 -223.0423 145.7121 +[5,] 255221 -104.50541 -71.163338 567.57562 610.23627 1416.61328 2868.16040 4034.58789 3234.6626 40126.46484 10325.0371 1974.0907 1033.8450 + UV13-A UV14-A UV15-A UV16-A SSC-H SSC-A V1-A V2-A V3-A V4-A V5-A V6-A V7-A V8-A +[1,] 956.43573 290.8685 385.49921 670.97687 657613 750760.12 1171.1390 154.5628 1346.4488525 1706.9260 1923.50940 898.2527 3162.55371 83596.5078 +[2,] -32.81524 -104.9198 103.41382 71.41528 83481 81552.85 266.2424 705.2527 244.3218689 341.0508 381.15939 87.1600 151.68785 119.5544 +[3,] 1071.14636 730.1430 214.93053 252.75406 890845 1183519.00 1196.0931 1183.1105 2087.0092773 824.6352 1635.27258 1613.9069 4653.16260 176981.6094 +[4,] 127.03777 -207.8978 -55.37944 -45.10131 75103 72457.33 227.9926 556.9189 -0.8137281 205.4732 18.12125 179.6371 -69.50061 -132.4348 +[5,] -21.57245 273.6271 960.16290 341.20633 415791 501690.97 717.2498 929.9780 1358.4512939 788.6506 1208.81006 1156.7040 3118.42627 104951.2578 + V9-A V10-A V11-A V12-A V13-A V14-A V15-A V16-A FSC-H FSC-A SSC-B-H SSC-B-A B1-A +[1,] 32506.7617 27161.5137 6236.072754 2220.303223 2023.39966 753.589355 510.9540 228.34962 1055905 1217097.50 716733 815959.06 606.6683 +[2,] -79.7691 -109.1783 -73.991196 114.375542 -11.53453 124.986206 -207.3494 -28.96272 79696 83439.11 104575 103132.83 195.2795 +[3,] 69236.4297 57626.8984 13175.838867 4534.874023 3434.38989 1995.172363 1321.8030 615.05560 1092481 1453969.38 757351 982038.31 2010.5110 +[4,] 129.2739 231.8918 -5.473321 8.792875 -24.62049 -8.212234 -133.7503 -34.32619 64760 60415.23 67955 66806.13 -146.8936 +[5,] 42090.0781 34104.3164 7620.552734 3103.544189 2426.43359 650.836304 290.2892 473.32599 1038362 1184479.00 425296 522873.12 1015.5981 + B2-A B3-A B4-A B5-A B6-A B7-A B8-A B9-A B10-A B11-A B12-A B13-A +[1,] 416.98294 4172.4712 192400.0938 93929.9375 54236.3320 19342.6445 10507.24219 9498.1270 4465.50928 1668.048096 2199.9475 1581.7345 +[2,] 333.25662 332.1675 -230.9639 196.7810 292.8945 -187.2845 70.90886 -334.3563 188.05545 -663.359619 -163.2331 27.9856 +[3,] 2150.21826 10106.9551 437801.5625 212176.1562 124294.3594 45068.3008 24289.59180 22500.1914 10624.99219 4684.497559 3471.7749 2727.3904 +[4,] -34.90987 165.7988 675.0156 136.3076 482.8665 133.0948 432.28091 246.8794 -94.44906 2.905877 106.8489 283.3633 +[5,] 639.77527 6034.0200 244022.6094 118871.4609 68616.9688 24067.7949 14182.12793 13019.7100 5577.33984 2753.355957 1279.3009 1423.0276 + B14-A R1-A R2-A R3-A R4-A R5-A R6-A R7-A R8-A +[1,] 1487.56860 147.1335 129.867630 35.90353 267.23999 49.79849 -732.7097 42.83144 248.56728 +[2,] 205.82298 -142.9224 66.516052 113.63218 -94.41375 98.13978 143.4497 -263.28741 -85.83299 +[3,] 2371.95850 -128.3749 -105.482544 726.48547 18.87000 95.47879 -194.4526 -84.08820 -301.46066 +[4,] 33.24665 127.5455 122.607941 37.83584 -82.87500 -343.83768 82.3745 60.27896 -94.38461 +[5,] 1565.72742 -266.4482 -3.350622 -178.39566 -117.10875 -100.10384 -182.0066 184.36417 186.17207 + + +```{r} +#| eval: FALSE +ColumnNames <- colnames(MFI_Matrix) +ColumnNames +``` + $P1N $P2N $P3N $P4N $P5N $P6N $P7N $P8N $P9N $P10N $P11N $P12N $P13N $P14N $P15N + "Time" "UV1-A" "UV2-A" "UV3-A" "UV4-A" "UV5-A" "UV6-A" "UV7-A" "UV8-A" "UV9-A" "UV10-A" "UV11-A" "UV12-A" "UV13-A" "UV14-A" + $P16N $P17N $P18N $P19N $P20N $P21N $P22N $P23N $P24N $P25N $P26N $P27N $P28N $P29N $P30N + "UV15-A" "UV16-A" "SSC-H" "SSC-A" "V1-A" "V2-A" "V3-A" "V4-A" "V5-A" "V6-A" "V7-A" "V8-A" "V9-A" "V10-A" "V11-A" + $P31N $P32N $P33N $P34N $P35N $P36N $P37N $P38N $P39N $P40N $P41N $P42N $P43N $P44N $P45N + "V12-A" "V13-A" "V14-A" "V15-A" "V16-A" "FSC-H" "FSC-A" "SSC-B-H" "SSC-B-A" "B1-A" "B2-A" "B3-A" "B4-A" "B5-A" "B6-A" + $P46N $P47N $P48N $P49N $P50N $P51N $P52N $P53N $P54N $P55N $P56N $P57N $P58N $P59N $P60N + "B7-A" "B8-A" "B9-A" "B10-A" "B11-A" "B12-A" "B13-A" "B14-A" "R1-A" "R2-A" "R3-A" "R4-A" "R5-A" "R6-A" "R7-A" + $P61N + "R8-A" + + Above of each receptor, appears the pattern "$P#N", that remind us to the pattern that appears when we ran read.FCS (see above) + + ```{r} + #| eval: FALSE + str(ColumnNames) + ``` + Named chr [1:61] "Time" "UV1-A" "UV2-A" "UV3-A" "UV4-A" "UV5-A" "UV6-A" "UV7-A" "UV8-A" "UV9-A" "UV10-A" "UV11-A" "UV12-A" "UV13-A" "UV14-A" ... + - attr(*, "names")= chr [1:61] "$P1N" "$P2N" "$P3N" "$P4N" ... + + Here, we see that, each value has a corresponding index name as well. Let's see using class function + + + ```{r} + #| eval: FALSE + class(ColumnNames) + ``` + [1] "character" + + we just see that all is considered as character, but it doesn't inform us about the index. That's why it is best to use several codes, to obtain as much information as possible. + We can also remove the names and left just the values: + + ```{r} + #| eval: FALSE + unname(ColumnNames) + ``` + [1] "Time" "UV1-A" "UV2-A" "UV3-A" "UV4-A" "UV5-A" "UV6-A" "UV7-A" "UV8-A" "UV9-A" "UV10-A" "UV11-A" "UV12-A" "UV13-A" +[15] "UV14-A" "UV15-A" "UV16-A" "SSC-H" "SSC-A" "V1-A" "V2-A" "V3-A" "V4-A" "V5-A" "V6-A" "V7-A" "V8-A" "V9-A" +[29] "V10-A" "V11-A" "V12-A" "V13-A" "V14-A" "V15-A" "V16-A" "FSC-H" "FSC-A" "SSC-B-H" "SSC-B-A" "B1-A" "B2-A" "B3-A" +[43] "B4-A" "B5-A" "B6-A" "B7-A" "B8-A" "B9-A" "B10-A" "B11-A" "B12-A" "B13-A" "B14-A" "R1-A" "R2-A" "R3-A" +[57] "R4-A" "R5-A" "R6-A" "R7-A" "R8-A" + +If we look again to the rigth bar, in the drop-down of flowFrame and click in the first slot (exprs) there is another drop-down less user-friendly than the little grid. The columns are represented by []. Inside, in front of the number, it should be a comma (,) + + +```{r} +#| eval: FALSE +MFI_Matrix[,1] +``` +[1] 38823 39780 267292 128101 255221 79210 196643 83855 109315 26128 114423 120001 71831 70551 197021 239994 252611 223012 152780 171822 + [21] 172611 168464 191503 253015 73885 82221 176641 128533 4117 191632 191229 58093 141776 265894 55593 227555 233212 248578 95165 171934 + [41] 1360 251847 195764 147503 118723 1060 90033 253553 268268 74610 23531 150119 226391 201568 179264 79944 196686 252667 117309 3903 + [61] 77690 195142 229873 254472 179943 236618 68193 87154 28541 78622 155664 50115 40866 70753 260118 12033 96149 20740 37461 73998 + [81] 231939 192329 88649 197664 86006 142486 159539 251298 104864 164090 102380 218968 145182 239323 261272 118979 17202 194277 229284 258723 + + + ```{r} + #| eval: FALSE + MFI_Matrix[,61] + ``` + [1] 248.567276 -85.832993 -301.460663 -94.384613 186.172073 -461.407745 843.507080 277.516113 -106.166855 281.633545 195.927261 818.865723 + [13] 734.996460 209.356476 206.442596 279.859894 518.165222 56.947498 285.751007 857.126343 -94.384613 -213.030518 62.585236 138.409653 + [25] 118.012444 328.255768 -61.635056 185.285233 464.384979 5.637739 -66.385956 31.229273 1198.241211 185.475266 873.279419 457.607025 + [37] -73.353951 37.880539 729.168640 221.772171 -169.512238 348.272888 -338.391022 845.534119 -4.434176 620.024597 610.269409 -193.900208 + [49] 230.830566 -23.754517 607.102112 14.949510 -34.333195 -169.132172 -96.158287 220.631958 125.297165 -15.202891 -126.057304 193.393448 + [61] 90.203819 -277.706146 590.505615 911.096619 -92.230873 347.259369 135.559113 369.430267 -62.015125 -180.597672 -146.517868 810.440796 + [73] 134.038818 -165.268097 727.711731 -88.746880 62.901962 203.275330 436.196289 -242.676147 -40.857769 222.278946 -170.272385 525.513245 + [85] -41.491222 176.670258 201.501648 175.530045 329.839386 474.140167 -48.142490 -174.833252 46.052090 357.584656 -26.541714 191.493088 + [97] 211.320190 124.790398 -113.324883 343.268616 + + If we use a column number that doesn´t exist: + + ```{r} + #| eval: FALSE + MFI_Matrix[,350] + ``` + +Error in `MFI_Matrix[, 350]`: +! subscript out of bounds +it gives us an error message.