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A minimalistic, fast, pipe-friendly, robust, and opinionated generator of publication-ready statistical summary tables.

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sumtab

A minimalistic, fast, pipe-friendly, robust, and opinionated statistical summary table generator.

Overview

sumtab is a flexible R package designed to generate customizable summary tables for peer-reviewed scientific articles, offering various options for parametric/non-parametric statistical tests, descriptive statistics, and multivariate analysis.

Features

  • Supports parametric (e.g., t-test) and non-parametric (e.g., Wilcoxon test) statistical tests.
  • Automatically selects the appropriate test based on the data's characteristics.
  • Pipe-friendly design for easy integration with %>%.
  • Option for grouping data and displaying multivariate analysis.
  • Customizable formatting options for generating publication-ready tables.

Installation

You can install the package directly from GitHub using devtools:

# Install devtools if you haven't already
install.packages("devtools")

# Install sumtab from GitHub
devtools::install_github("advafaeian/sumtab")

Usage

Here’s a basic example of how to use the package:

library(sumtab)

# Summarize your data
sumtab(data = my_data)

# Or using the pipe-friendly syntax:
my_data %>% sumtab()

my_data %>% sumtab(by = "my_group", reporting_type = "parametric", analysis = TRUE)

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A minimalistic, fast, pipe-friendly, robust, and opinionated generator of publication-ready statistical summary tables.

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