https://github.com/elkronos/anovatoolbox

This GitHub repository contains a collection of functions for performing various statistical analyses and generating visualizations. The functions are designed to work with different types of data and provide comprehensive outputs for data analysis.
https://github.com/elkronos/anovatoolbox

anova anova-model data-analysis r statistics

Last synced: about 1 month ago
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This GitHub repository contains a collection of functions for performing various statistical analyses and generating visualizations. The functions are designed to work with different types of data and provide comprehensive outputs for data analysis.

• Host: GitHub
• URL: https://github.com/elkronos/anovatoolbox
• Owner: elkronos
• Created: 2023-06-24T19:07:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-12T05:09:09.000Z (about 1 year ago)
• Last Synced: 2023-10-12T21:08:25.342Z (about 1 year ago)
• Topics: anova, anova-model, data-analysis, r, statistics
• Language: R
• Homepage:
• Size: 22.5 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ANOVAtoolbox

This repo contains a collection of functions for performing various statistical analyses and generating visualizations. The functions are designed to work with different types of data and provide comprehensive outputs for data analysis.

## Functions Included:

### 1. `anova_bin` - One-way ANOVA for Binary Response Variable

This function performs a one-way ANOVA analysis for a binary response variable. It fits a logistic regression model with the specified response variable and group variable(s) and performs deviance ANOVA to assess the significance of the group effect. The function also computes the effect size (odds ratios) and confidence intervals, and generates a bar plot showing the proportion of the response variable by group.

### 2. `anova_count` - Deviance ANOVA for Count Data

This function performs a deviance analysis of variance (ANOVA) for count data using Poisson regression. It takes a data frame containing the variables of interest and performs the ANOVA analysis. The function provides the deviance ANOVA table, post-hoc test results, effect size (incidence rate ratios), confidence intervals, and a bar plot of the response by group.

### 3. `anova_glm` - GLM ANOVA

This function performs a Generalized Linear Model (GLM) ANOVA. It fits the GLM model to the data and allows the user to review such as residuals, ANOVA test results, effect size, confidence intervals, and plot the effects.

### 4. `anova_kw` - Kruskal-Wallis Test and Post-Hoc Analysis with Boxplot Visualization

This function conducts a Kruskal-Wallis test and performs post-hoc analysis for comparing the distribution of a numeric response variable across different groups defined by one or more categorical variables. It also generates a boxplot to visualize the distribution of the response variable by group.

### 5. `anova_welch` - Welch's ANOVA and Post-hoc Tests

This function performs Welch's Analysis of Variance (ANOVA) and post-hoc tests for group comparisons. It calculates means, standard deviations, confidence intervals, effect sizes, and generates a bar plot with means and standard deviations.

## Notes:

Each function is accompanied by a detailed description of its parameters and the returned results.

Please refer to the individual function documentation within the repository for more detailed information on each analysis and usage examples.