stability.nonpar: Nonparametric stability analysis

In agricolae: Statistical Procedures for Agricultural Research

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

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.