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.
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
Author
Tiago Olivoto, tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
out <- superiority(data_ge2, ENV, GEN, PH)
#> Evaluating trait PH |============================================| 100% 00:00:00
print(out)
#> Variable PH
#> ---------------------------------------------------------------------------
#> Superiority index considering all, favorable and unfavorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 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
#> ---------------------------------------------------------------------------
#>
#>
#>
# }