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`

### Examples

```library(agricolae)
# example 1
data(corn)
out<-with(corn,Median.test(observation,method,console=FALSE))
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)
```

[Package agricolae version 1.3-5 Index]