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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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