Convenient R Functions Frequently Used in mutolab • mutolabr

Overview

The mutolabr R package provides convenient functions frequently used in mutolab. This package includes functions to:

Conduct frequentist and Bayesian t-tests with effect size estimation (t_test_all).
Perform correlation tests or partial correlation tests using frequentist and Bayesian methods for all variables in a given dataset (cor_test_all, pcor_test_all).
Perform contrast tests using frequentist method (contrast_test).
Compute summary statistics for a single variable, including the highest density interval (hdi), mode (mode_stat), population variance (var_desc), and population standard deviation (sd_desc).
Calculate the probability of direction (pd) from MCMC samples of a posterior distribution.
Retrieve a list of currently loaded R packages along with their versions (loaded_packages_version).

Installation

You can install mutolabr from GitHub using devtools:

# Install devtools if not already installed
if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools")

# Install mutolabr
devtools::install_github("mutopsy/mutolabr")

Dependencies

This package requires:
* R (>= 4.1.0)
* dplyr
* tidyr
* BayesFactor
* effectsize * withr

Usage

After installation, you can load this package using the library function.

library(mutolabr)

List of Functions

For details on each function, refer to the function references.

Statistical Tests

t_test_all: Perform Frequentist and Bayesian t-tests with Effect Size Estimation [Document]
cor_test_all: Perform Correlation Tests with Frequentist and Bayesian Methods [Document]
pcor_test_all: Perform Partial Correlation Tests with Frequentist Methods [Document]
contrast_test: Perform Contrast Tests with Frequentist Method [Document]
trend_test: Perform Trend Analysis using Contrast Test with Frequentist Method [Document]
summary_generalTestBF: Summarize Results from generalTestBF (beta version) [Document]
rmANOVA_bf: Perform Bayesian Repeated-Measures ANOVA Using generalTestBF [Document]

Compute Summary Statistics

summary_stat: Compute Summary Statistics [Document]
var_desc: Compute Population Variance [Document]
sd_desc: Compute Population Standard Deviation [Document]
mode_stat: Compute the Mode of a Distribution [Document]
hdi: Compute the Highest Density Interval (HDI) [Document]
pdir: Probability of Direction (pd) Calculation [Document]

Others

theme_gg0: A Default ggplot2 Theme [Document]

Version History

v1.4.0 (2025-06-22)

Implemented rmANOVA_bf(), summary_generalTestBF(), and theme_gg0().

v1.3.0 (2025-04-30)

Implemented pcor_test_all().
Refined output formatting in cor_test_all() when using the Kendall method.

v1.2.1 (2025-03-28)

Refined output formatting in contrast_test().

v1.2.0 (2025-03-27)

Implemented trend_test().

v1.1.0 (2025-03-26)

Implemented contrast_test().

v1.0.0 (2025-02-28)

Initial release of mutolabr package.
Implemented t_test_all(), cor_test_all(), summary_stat(), var_desc(), sd_desc(), mode_stat(), hdi(), and pdir().

mutolabr: Convenient R Functions Frequently Used in mutolab