Gabriel Multiple Comparison Test and Plot the Confidence Interval on Barplot

Analyze multi-level one-way experimental designs where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test , create two vectors: one for your observations and one for the factor level of each observation. The function, rgabriel, conduct the test and save the output as a vector to input into the gabriel.plot function, which produces a confidence interval plot for Multiple Comparison.

rgabriel

The goal of rgabriel is to analyze multi-level one-way experimental designs where there are unequal sample sizes and population variance homogeneity can not be assumed.

Installation

You can install the development version of rgabriel from GitHub with:

# install.packages("remotes")
remotes::install_github("yufree/rgabriel")

Example

This is a basic example which shows you how to solve a common problem:

library(rgabriel)
## basic example code
g <- c(1:40)
f <- c(rep(1,3),rep(2,12),rep(3,15),rep(4,5),rep(5,5))
gabriel.plot(g,f,rgabriel(g,f))