superiority: Lin e Binns' superiority index

View source: R/superiority.R

superiorityR Documentation

Lin e Binns' superiority index

Description

[Stable]

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, tiagoolivoto@gmail.com

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.4141/cjps88-018")}

See Also

Annicchiarico(), ecovalence(), ge_stats()

Examples


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



TiagoOlivoto/WAASB documentation built on March 20, 2024, 4:18 p.m.