Simplified statistical analysis with plain-English interpretation for R
statease is an R package that runs descriptive statistics, t-tests, and ANOVA — and tells you in plain English what the results mean. No more copy-pasting output into interpretation guides. One function call gives you the full picture.
Once published to CRAN:
install.packages("statease")For the development version from GitHub:
# install.packages("devtools")
devtools::install_github("DevWebWacky/statease")| Function | What it does |
|---|---|
analyze() |
Master function — auto-detects and runs the right test |
describe() |
Descriptive statistics with interpretation |
ttest_interpret() |
T-tests with Cohen's d and CI interpretation |
anova_interpret() |
ANOVA with Tukey post-hoc and eta squared |
interpret_p() |
Standalone p-value interpreter |
library(statease)
# Descriptive statistics
analyze(x = c(23, 45, 12, 67, 34), var_name = "Exam Scores")
# Independent samples t-test (auto-detected)
analyze(x = c(23,45,12,67,34), y = c(19,38,22,51,29), var_name = "Scores")
# One-way ANOVA (auto-detected)
df <- data.frame(
score = c(23,45,12,67,34,89,56,43,78,90,11,34),
group = rep(c("A","B","C"), each = 4)
)
analyze(formula = score ~ group, data = df)
# Interpret any p-value
interpret_p(0.03, context = "treatment vs control group")Most R output gives you numbers. statease gives you numbers + meaning. Perfect for:
- Students learning statistics
- Researchers who want fast readable output
- Educators teaching statistical concepts
MIT