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.
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