Import packages

library(datasets)
library(stats)


Prepare data

mtcars_data <- datasets::mtcars
mtcars_data$am <- as.factor(mtcars_data$am)


Wilcoxon Rank Sum Test, non-parametric equivalent to t-test (assess population mean difference in two groups)

wilcox.test(cyl ~ am, data = mtcars_data) # Assess mpg differences by transmission status (automatic vs. manual)
## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  cyl by am
## W = 194, p-value = 0.0039
## alternative hypothesis: true location shift is not equal to 0