agricolae (version 1.2-8)

stability.nonpar: 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

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

# NOT RUN {
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
# }