% Generated by roxygen2: do not edit by hand % Please edit documentation in R/simulate_simpson.R \name{simulate_simpson} \alias{simulate_simpson} \title{Simpson's paradox dataset simulation} \usage{ simulate_simpson( n = 100, r = 0.5, groups = 3, difference = 1, group_prefix = "G_" ) } \arguments{ \item{n}{The number of observations for each group to be generated (minimum 4).} \item{r}{A value or vector corresponding to the desired correlation coefficients.} \item{groups}{Number of groups (groups can be participants, clusters, anything).} \item{difference}{Difference between groups.} \item{group_prefix}{The prefix of the group name (e.g., "G_1", "G_2", "G_3", ...).} } \value{ A dataset. } \description{ Simpson's paradox, or the Yule-Simpson effect, is a phenomenon in probability and statistics, in which a trend appears in several different groups of data but disappears or reverses when these groups are combined. } \examples{ data <- simulate_simpson(n = 10, groups = 5, r = 0.5) if (require("ggplot2")) { ggplot(data, aes(x = V1, y = V2)) + geom_point(aes(color = Group)) + geom_smooth(aes(color = Group), method = "lm") + geom_smooth(method = "lm") } }