superiority function

Lin e Binns' superiority index

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

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.

Returns

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.

Examples

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

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. tools:::Rd_expr_doi("10.4141/cjps88-018")

See Also

Annicchiarico(), ecovalence(), ge_stats()

Author(s)

Tiago Olivoto, tiagoolivoto@gmail.com