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Nonparametric stability analysis using the superiority index proposed by Lin & Binns (1988).
superiority(.data, env, gen, resp, verbose = TRUE)
An object of class superiority where each element is the result of one variable and contains the following items:
superiority
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.
Pi_a
Pi_f
Pi_u
The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s)
The name of the column that contains the levels of the environments.
The name of the column that contains the levels of the genotypes.
The response variable(s). To analyze multiple variables in a single procedure use, for example, resp = c(var1, var2, var3).
resp = c(var1, var2, var3)
Logical argument. If verbose = FALSE the code will run silently.
verbose = FALSE
Tiago Olivoto, tiagoolivoto@gmail.com
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")
Annicchiarico(), ecovalence(), ge_stats()
Annicchiarico()
ecovalence()
ge_stats()
# \donttest{ library(metan) out <- superiority(data_ge2, ENV, GEN, PH) print(out) # }
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