statease: Simplified Statistical Analysis with Plain-English Interpretation

statease provides a suite of functions for performing common statistical analyses and automatically interpreting the results in plain English. It is designed for students, researchers, and educators who want fast, readable statistical output without sacrificing rigour.

Main Functions

analyze

Master function — auto-detects and runs the right test

describe

Descriptive statistics with interpretation

ttest_interpret

T-tests (one-sample, independent, paired) with Cohen's d

anova_interpret

One-way ANOVA with Tukey post-hoc and eta squared

interpret_p

Standalone p-value interpreter

Typical Workflow

The simplest way to use statease is through the master analyze() function, which automatically detects what test to run based on your input:

# Descriptive statistics
analyze(x = my_vector, var_name = "My Variable")

# Independent samples t-test
analyze(x = group1, y = group2, var_name = "Scores")

# One-way ANOVA
analyze(formula = score ~ group, data = my_df)

# Interpret a p-value
interpret_p(0.03, context = "treatment vs control")

See also

Useful links:

• https://github.com/DevWebWacky/statease

• https://devwebwacky.github.io/statease/

• Report bugs at https://github.com/DevWebWacky/statease/issues

Author

Uwakmfon Usen Paul