superiority: Lin e Binns' superiority index

In metan: Multi Environment Trials Analysis

Lin e Binns' superiority index

Description

Nonparametric stability analysis using the superiority index proposed by Lin & Binns (1988).

Usage

superiority(.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 superiority where each element is the result of one variable and contains the following items:

• environments The mean for each environment, the environment index and classification as favorable and unfavorable environments.

• index The superiority index computed for all (Pi_a), favorable (Pi_f) and unfavorable (Pi_u) environments.

Author(s)

Tiago Olivoto, [e-mail]

References

Lin, C.S., and M.R. Binns. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 68:193-198. doi: 10.4141/cjps88-018

See Also

Annicchiarico(), ecovalence(), ge_stats()

Examples

library(metan)
out <- superiority(data_ge2, ENV, GEN, PH)
print(out)

metan documentation built on March 7, 2023, 5:34 p.m.