agricolae (version 1.2-6)

Median.test: 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 sam median.

Usage

Median.test(y,trt,correct=TRUE,simulate.p.value=FALSE,console=TRUE)

Arguments

y

Variable response

trt

Treatments

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

console

logical, print output

Value

statistics

Numeric

parameters

Numeric

Medians

data.frame

comparison

data.frame

data

data.frame

Details

The data consist of k samples of posibly unequal sample size.

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

kruskal,chisq.test

Examples

# NOT RUN {
library(agricolae)
# example 1
data(corn)
comparison<-with(corn,Median.test(observation,method))
comparison
# example 2
trt<-c(rep(1,9),rep(2,10),rep(3,7),rep(4,8))
y<-c(83,91,94,89,89,96,91,92,90,91,90,81,83,84,83,88,91,89,84,101,100,91,93,
96,95,94,78,82,81,77,79,81,80,81)
comparison<-Median.test(y,trt)
# }