Median.test {agricolae} R Documentation

## Median test. Multiple comparisons

### Description

A nonparametric test for several independent samples. The median test is designed to examine whether several samples came from populations having the same median.

### Usage

Median.test(y,trt,alpha=0.05,correct=TRUE,simulate.p.value = FALSE, group = TRUE,
main = NULL,console=TRUE)


### Arguments

 y Variable response trt Treatments alpha error type I correct a logical indicating whether to apply continuity correction when computing the test statistic for 2 groups. The correction will not be bigger than the differences themselves. No correction is done if simulate.p.value = TRUE. simulate.p.value a logical indicating whether to compute p-values by Monte Carlo simulation group TRUE or FALSE main Title console logical, print output

### Details

The data consist of k samples of possibly unequal sample size.
Greater: is the number of values that exceed the median of all data and
LessEqual: is the number less than or equal to the median of all data.

### Value

 statistics Statistics of the model parameters Design parameters medians Statistical summary of the study variable comparison Comparison between treatments groups Formation of treatment groups

### Author(s)

Felipe de Mendiburu

### References

Practical Nonparametrics Statistics. W.J. Conover, 1999

BIB.test, DAU.test, duncan.test, durbin.test, friedman, HSD.test, kruskal, LSD.test, PBIB.test, REGW.test, scheffe.test, SNK.test, waerden.test, waller.test, plot.group
library(agricolae)
z<-bar.err(out$medians,variation = "range",ylim=c(0,120), space=2,border=4,col=3,density=10,angle=45) # example 2 out<-with(corn,Median.test(observation,method,console=FALSE,group=FALSE)) print(out$comparison)