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OpenStats is a shiny app offering many statistical methods (visualisation with ggplot2, t-test, aov, correlations etc.).

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OpenStats

This application provides a user-friendly interface for conducting basic data wrangling, correlation tests, assumption tests (Shapiro-Wilk, Levene's test, QQ plots, etc.), various statistical tests (t-test, ANOVA, Kruskal-Wallis test, Tukey HSD, etc.), and visualizing data using ggplot2.

Features

  • Data Wrangling: Import, filter, transform, and clean datasets.
  • Correlation Tests: Evaluate relationships between variables.
  • Assumption Tests: Run Shapiro-Wilk, Levene's test, QQ plots, etc.
  • Statistical Tests: t-test, ANOVA, Kruskal-Wallis, Tukey HSD, and more.
  • Visualization: Create boxplots, scatterplots, line plots, smoothers, and annotated plots using ggplot2.

Local version

Step 1: Install R

Linux (Ubuntu)
sudo apt update
sudo apt install -y r-base

Verify installation:

R --version
Windows/Mac
  • Download R from CRAN.
  • Follow the installer instructions.

Step 2: Install RStudio

  1. Download RStudio Desktop (free version) from RStudio's website.
  2. Install it by following the installation steps for your operating system.

Step 3: Install remotes for GitHub Packages

  1. Open R or RStudio.
  2. Install the remotes package:
install.packages("remotes")

Step 4: Install a Package from GitHub

  1. Load the remotes library:
library(remotes)
  1. Use the install_github function to install the package "COMELN".
remotes::install_github("ComPlat/OpenStats", subdir = "comeln")
remotes::install_github("ComPlat/OpenStats", subdir = "OpenStats")
  1. Restart R/RStudio and start the app
OpenStats::open_stats()

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OpenStats is a shiny app offering many statistical methods (visualisation with ggplot2, t-test, aov, correlations etc.).

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