View source: R/fkruskal_test.R
f_kruskal_test | R Documentation |
Performs the Kruskal-Wallis rank sum test to assess whether there are statistically significant differences between three or more independent groups. It provides detailed outputs, including plots, assumption checks, and post-hoc analyses using Dunn's test. Results can be saved in various formats ('pdf', 'Word', 'Excel', or console only) with customizable output options.
f_kruskal_test(
formula,
data = NULL,
plot = TRUE,
alpha = 0.05,
output_type = "off",
output_file = NULL,
output_dir = NULL,
save_in_wdir = FALSE,
kruskal_assumptions_text = TRUE,
adjust = "bonferroni",
close_generated_files = FALSE,
open_generated_files = TRUE
)
formula |
A formula specifying the response and predictor variable (e.g., |
data |
A |
plot |
Logical. If |
alpha |
Numeric. The significance level for the Kruskal-Wallis test and Dunn's
test. Default is |
output_type |
Character string. Specifies the output format: |
output_file |
Character string. The name of the output file (without extension).
If |
output_dir |
Character string specifying the name of the directory of the output file. Default is |
save_in_wdir |
Logical. If |
kruskal_assumptions_text |
Logical. If |
adjust |
Character string. Adjustment method for pairwise comparisons in Dunn's test. Options include |
close_generated_files |
Logical. If |
open_generated_files |
Logical. If |
This function offers a comprehensive workflow for non-parametric analysis using the Kruskal-Wallis test:
Assumption Checks: Optionally includes a summary of assumptions in the output.
Visualization: Generates density plots and boxplots to visualize group distributions.
Post-hoc Analysis: Conducts Dunn's test with specified correction methods if significant differences are found.
———–
Output files are generated in the format specified by output_type =
and saved to the working directory, options are "pdf", "word"
or "excel"
. If output_type = "rmd"
is used it is adviced to use it in a chunk with {r, echo=FALSE, results='asis'}
This function requires [Pandoc](https://github.com/jgm/pandoc/releases/tag) (version 1.12.3 or higher), a universal document converter.
Windows: Install Pandoc and ensure the installation folder
(e.g., "C:/Users/your_username/AppData/Local/Pandoc") is added to your system PATH.
macOS: If using Homebrew, Pandoc is typically installed in "/usr/local/bin". Alternatively, download the .pkg installer and verify that the binary’s location is in your PATH.
Linux: Install Pandoc through your distribution’s package manager (commonly installed in "/usr/bin" or "/usr/local/bin") or manually, and ensure the directory containing Pandoc is in your PATH.
If Pandoc is not found, this function may not work as intended.
An object of class 'f_kruskal_test' containing:
Kruskal-Wallis test results for each combination of response and predictor variables.
Dunn's test analysis results (if applicable).
Summary tables with compact letter displays for significant group differences.
Using the option output_type
, it can also generate output in the form of: R Markdown code, 'Word', 'pdf', or 'Excel' files. Includes print and plot methods for 'f_kruskal_test' objects.
Sander H. van Delden plantmind@proton.me
# Example usage:
data(iris)
# Perform Kruskal-Wallis test on Sepal.Length and Sepal.Width by Species
# with "holm" correction for posthoc dunn_test, without showing the output.
output <- f_kruskal_test(
Sepal.Width + Sepal.Length ~ Species,
data = iris,
plot = FALSE,
output_type = "word",
adjust = "holm",
open_generated_files = FALSE
)
# Save Kruskal-Wallis test and posthoc to Excel sheets: Sepal.Width and Sepal.Length.
f_kruskal_out <- f_kruskal_test(
Sepal.Width + Sepal.Length ~ Species,
data = iris,
plot = FALSE,
output_type = "excel",
adjust = "holm",
open_generated_files = FALSE
)
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