Huehn: Huehn's stability statistics In metan: Multi Environment Trials Analysis

Description

Performs a stability analysis based on Huehn (1979) statistics. The four nonparametric measures of phenotypic stability are: S1 (mean of the absolute rank differences of a genotype over the n environments), S2 (variance among the ranks over the k environments), S3 (sum of the absolute deviations), and S6 (relative sum of squares of rank for each genotype).

Usage

 1 Huehn(.data, env, gen, resp, verbose = TRUE) 

Arguments

 .data The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s). env The name of the column that contains the levels of the environments. gen The name of the column that contains the levels of the genotypes. resp The response variable(s). To analyze multiple variables in a single procedure use, for example, resp = c(var1, var2, var3). verbose Logical argument. If verbose = FALSE the code will run silently.

Value

An object of class Huehn, which is a list containing the results for each variable used in the argument resp. For each variable, a tibble with the following columns is returned.

• GEN The genotype's code.

• Y The mean for the response variable.

• S1 Mean of the absolute rank differences of a genotype over the n environments.

• S2 variance among the ranks over the k environments.

• S3 Sum of the absolute deviations.

• S6 Relative sum of squares of rank for each genotype.

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com

References

Huehn, V.M. 1979. Beitrage zur erfassung der phanotypischen stabilitat. EDV Med. Biol. 10:112.

Examples

 1 2 3 library(metan) out <- Huehn(data_ge2, ENV, GEN, PH) print(out) 

metan documentation built on Nov. 10, 2021, 9:11 a.m.