Nonparametric stability analysis using the superiority index proposed by Lin & Binns (1988).
superiority(.data, env, gen, resp, verbose = TRUE)
.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, |
verbose | Logical argument. If |
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.
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
Tiago Olivoto, tiagoolivoto@gmail.com
#> Variable PH #> --------------------------------------------------------------------------- #> Superiority index considering all, favorable and unfavorable environments #> --------------------------------------------------------------------------- #> # A tibble: 13 x 8 #> GEN Y Pi_a R_a Pi_f R_f Pi_u R_u #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 H1 2.62 0.0258 1 0.0113 8 0.0403 1 #> 2 H10 2.31 0.151 12 0.0213 12 0.280 12 #> 3 H11 2.39 0.116 10 0.0101 7 0.222 11 #> 4 H12 2.44 0.103 8 0.0174 11 0.189 8 #> 5 H13 2.54 0.0688 7 0.00832 4 0.129 7 #> 6 H2 2.60 0.0289 2 0.00839 5 0.0494 2 #> 7 H3 2.59 0.0425 6 0.00791 3 0.0771 4 #> 8 H4 2.58 0.0404 5 0.00279 2 0.0780 5 #> 9 H5 2.57 0.0403 4 0.00253 1 0.0781 6 #> 10 H6 2.56 0.0330 3 0.0128 9 0.0533 3 #> 11 H7 2.40 0.109 9 0.00947 6 0.208 9 #> 12 H8 2.33 0.161 13 0.0165 10 0.306 13 #> 13 H9 2.36 0.124 11 0.0278 13 0.221 10 #> --------------------------------------------------------------------------- #> #> #># }