rfriend is an R package designed to streamline data
analysis and statistical testing by wrapping complex or repetitive code
into convenient, user-friendly functions prefixed with f_
(f_riendly). Its primary focus is data exploration, statistical tests,
and creating publication-ready output in multiple formats including PDF,
Microsoft Word, and Microsoft Excel.
The package helps you write shorter code while producing well-formatted summaries, visualizations, and statistical tests, automatically handling data transformations, assumption checking, and post hoc testing.
Full documentation is available at https://delde001.github.io/rfriend/.
f_summary() generates
comprehensive summary tables (with optional skewness, kurtosis, and
confidence intervals).f_scan() builds
a density / boxplot / QQ panel for one or more variables, optionally
split by grouping factors.f_corplot() shows
Pearson, Spearman, and Kendall coefficients together, with support for
ordinal variables.f_outliers() flags
outliers using Tukey’s fences and f_remove_outliers()
removes them with safe anti-join semantics.f_stat_wizard() inspects your data from a formula and
suggests an appropriate test as ready-to-run code.f_boxcox() for Box-Cox transformations (wrapping
MASS/boxcox and rcompanion).f_bestNormalize() wraps and extends normalization from
the bestNormalize package.f_boxplot()), including numeric-vector input
and custom palettesf_qqnorm())f_hist())Run and visualize tests on multiple response variables and predictors, with automatic assumption checking and post hoc analysis:
f_aov()f_lm()f_lmer()f_kruskal_test()f_friedman()f_t_test()f_wilcox_test()f_glm()f_chisq_test()Post hoc results are summarized in a compact letter display (cld) table for easy interpretation.
f_model_compare().f_clear() clears the workspace and restarts R.f_setwd() sets the working directory to the current
script’s location.f_theme() switches RStudio themes quickly.f_factors() converts multiple data frame columns to
factors (with optional reference-level control).f_long() reshapes wide data to long format in a single
call.f_example_data() lists and returns the bundled example
datasets.f_open_file(), f_pander(),
f_rename_columns(), f_rename_vector(),
f_load_packages(), and more.rfriend requires R (>= 4.4.0) and several
dependencies (see DESCRIPTION for details). PDF and Word output require
Pandoc (>= 3.2), which is bundled with RStudio.
Install the latest released version from CRAN with:
install.packages("rfriend")To install the latest development version from GitHub:
# install.packages("devtools")
devtools::install_github("delde001/rfriend")library(rfriend)
# Summary of your dataset
f_summary(your_dataframe)
# Run ANOVA on multiple response variables
f_aov(response_var1 + response_var2 ~ predictor1 * predictor2,
data = your_dataframe)
# Create a boxplot of one or more variables
data(mtcars)
f_boxplot(hp + disp ~ gear * cyl,
data = mtcars,
intro_text = FALSE,
output_type = "word")
# Fit a linear mixed-effects model
f_lmer(response ~ treatment + (1 | block), data = your_dataframe)
# Perform a Box-Cox transformation
transformed <- f_boxcox(your_dataframe$variable)
# Load a bundled example dataset
f_example_data() # list available files
path <- f_example_data("field_trial.csv")
# Clear the workspace and restart R
f_clear()For detailed usage and examples, please refer to the package vignettes, the help files, and the documentation website at https://delde001.github.io/rfriend/.
rfriend, you may see harmless warnings
about S3 method overwrites related to nobs.fitdistr and
nobs.multinom due to imported packages (MuMIn,
rstatix). These do not affect functionality.Contributions, bug reports, and feature requests are very welcome. Please open an issue or submit a pull request on GitHub.
Before contributing, please ensure that:
This package is licensed under GPL-3.
Author and maintainer: Sander H. van Delden Email: plantmind@proton.me
Feel free to reach out for support, feature requests, or collaborations.
Thank you for using rfriend!