% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/single_mean.R
\name{plot.single_mean}
\alias{plot.single_mean}
\title{Plot method for the single_mean function}
\usage{
\method{plot}{single_mean}(x, plots = "hist", shiny = FALSE, custom = FALSE, ...)
}
\arguments{
\item{x}{Return value from \code{\link{single_mean}}}

\item{plots}{Plots to generate. "hist" shows a histogram of the data along with vertical lines that indicate the sample mean and the confidence interval. "simulate" shows the location of the sample mean and the comparison value (comp_value). Simulation is used to demonstrate the sampling variability in the data under the null-hypothesis}

\item{shiny}{Did the function call originate inside a shiny app}

\item{custom}{Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and \url{https://ggplot2.tidyverse.org/} for options.}

\item{...}{further arguments passed to or from other methods}
}
\description{
Plot method for the single_mean function
}
\details{
See \url{https://radiant-rstats.github.io/docs/basics/single_mean.html} for an example in Radiant
}
\examples{
result <- single_mean(diamonds, "price", comp_value = 3500)
plot(result, plots = c("hist", "simulate"))

}
\seealso{
\code{\link{single_mean}} to generate the result

\code{\link{summary.single_mean}} to summarize results
}