% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/statease-package.R
\docType{package}
\name{statease}
\alias{statease-package}
\alias{statease}
\title{statease: Simplified Statistical Analysis with Plain-English Interpretation}
\description{
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.
}
\section{Main Functions}{

\describe{
\item{\code{\link{analyze}}}{Master function — auto-detects and runs the right test}
\item{\code{\link{describe}}}{Descriptive statistics with interpretation}
\item{\code{\link{ttest_interpret}}}{T-tests (one-sample, independent, paired) with Cohen's d}
\item{\code{\link{anova_interpret}}}{One-way ANOVA with Tukey post-hoc and eta squared}
\item{\code{\link{interpret_p}}}{Standalone p-value interpreter}
}
}

\section{Typical Workflow}{

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

\preformatted{
# 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")
}
}

\seealso{
Useful links:
\itemize{
  \item \url{https://github.com/DevWebWacky/statease}
  \item Report bugs at \url{https://github.com/DevWebWacky/statease/issues}
}

}
\author{
Uwakmfon Usen Paul
}
