% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cor_interpret.R
\name{cor_interpret}
\alias{cor_interpret}
\title{Correlation Analysis with Plain-English Interpretation}
\usage{
cor_interpret(
  x,
  y,
  method = "pearson",
  conf.level = 0.95,
  var1_name = "Variable 1",
  var2_name = "Variable 2"
)
}
\arguments{
\item{x}{A numeric vector}

\item{y}{A numeric vector}

\item{method}{Correlation method: "pearson", "spearman", or "kendall".
Default "pearson".}

\item{conf.level}{Confidence level. Default 0.95.}

\item{var1_name}{Optional name for first variable. Default "Variable 1"}

\item{var2_name}{Optional name for second variable. Default "Variable 2"}
}
\value{
An object of class \code{statease_cor} containing correlation
results and interpretation. Use \code{print()} to display the
formatted report.
}
\description{
Correlation Analysis with Plain-English Interpretation
}
\examples{
x <- c(23, 45, 12, 67, 34, 89, 56, 43, 78, 90)
y <- c(19, 42, 15, 70, 30, 85, 52, 48, 80, 88)
result <- cor_interpret(x, y)
print(result)
}
