stability.nonpar {agricolae} R Documentation

## Nonparametric stability analysis

### Description

A method based on the statistical ranges of the study variable per environment for the stability analysis.

### Usage

```stability.nonpar(data, variable = NULL, ranking = FALSE, console=FALSE)
```

### Arguments

 `data` First column the genotypes following environment `variable` Name of variable `ranking` logical, print ranking `console` logical, print output

### Value

 `ranking` data frame `statistics` Statistical analysis chi square test

### Author(s)

Felipe de Mendiburu

### References

Haynes K G, Lambert D H, Christ B J, Weingartner D P, Douches D S, Backlund J E, Fry W and Stevenson W. 1998. Phenotypic stability of resistance to late blight in potato clones evaluated at eight sites in the United States American Journal Potato Research 75, pag 211-217.

`stability.par `

### Examples

```library(agricolae)
data(haynes)
stability.nonpar(haynes,"AUDPC",ranking=TRUE,console=TRUE)
# Example 2
data(CIC)
data1<-CIC\$comas[,c(1,6,7,17,18)]
data2<-CIC\$oxapampa[,c(1,6,7,19,20)]
cic <- rbind(data1,data2)

means <- by(cic[,5], cic[,c(2,1)], function(x) mean(x,na.rm=TRUE))
means <-as.data.frame(means[,])
cic.mean<-data.frame(genotype=row.names(means),means)
cic.mean<-delete.na(cic.mean,"greater")
out<-stability.nonpar(cic.mean)
out\$ranking
out\$statistics
```

[Package agricolae version 1.3-5 Index]