Statistical analysis of variance

This tool is designed for processing data sets that include more than two distinct variants, including cases with partial overlap. By default, it evaluates confidence intervals using the Student's t-test at a significance level of 0.05. This threshold can be adjusted to accommodate different precision requirements.

Run it with specified keys

stexp -d | -df [data...] [alf (0 <...< 1)]

Using -df key you may write data to *.csv file for the next importing to LibreOffice Calc, MS Excell or Google Tables

.sh file example for running in terminal

#!/bin/bash

stexp -d 2.3 3.4 2.6 3.5
echo "----------------"
stexp -d 2.5 3.4 2.6 -- 8.9 11.2 13.5
echo "----------------"
stexp -d 2.3 3.4 2.6 3.5 alf 0.01
echo "----------------"
stexp -d 2.5 3.4 2.6 -- 8.9 11.2 13.5 alf 0.2

exec $SHELL

.sh file example for writing to .csv

#!/bin/bash

stexp -df 2.3 3.4 2.6 3.5
echo "----------------"
stexp -df 2.5 3.4 2.6 -- 8.9 11.2 13.5
echo "----------------"
stexp -df 2.3 3.4 2.6 3.5 alf 0.01
echo "----------------"
stexp -df 2.5 3.4 2.6 -- 8.9 11.2 13.5 alf 0.2

exec $SHELL

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You need
CMake
to be installed on your Linux system previously

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To compile and run the utility

1. Clone the Repository

git clone https://github.com/Evgenk2020/student-experiment

cd student-experiment

2. Check for rpm-build package to be installed in your system

rpm -q rpm-build

If so you will see rpm-build-6.0.0-1.fc43.x86_64 or something like that.

If not it will be package rpm-build is not installed. Then install it from system repository

sudo dnf install rpm-build

3. Build the Project with .rpm setup package for Fedora/CentOS Stream by default

./build.sh

4. Install .rpm package from build folder

sudo dnf install *.rpm

If using either than Fedora/CentOS Stream change the string set(assemble_tgz OFF) in CMakeLists.txt to set(assemble_tgz ON) before building the Project. Move .tar.gz file to any folder and unpack it.

Then run ./stexp -d | -df [data...] [alf (0 <...<1)] in terminal from unpacked folder.

For more convenience you may add path to the application into .bashrc file

export PATH=$PATH:/%path_to_application_folder%/

In this case it will be possible to run stexp -d | -df [data...] [alf (0 <...<1)] in terminal directly.