R: Nonparametric stability analysis

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.

### See Also

`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 1.2-8 Index]