Performs a stability analysis based on the criteria of Fox et al. (1990), using the statistical "TOP third" only. A stratified ranking of the genotypes at each environment is done. The proportion of locations at which the genotype occurred in the top third are expressed in the output.
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 = FALSEthe code will run silently.
Value
An object of class Fox, which is a list containing the results
for each variable used in the argument resp. For each variable, a
tibble with the following columns is returned.
- GEN the genotype's code. 
- mean the mean for the response variable. 
- TOP The proportion of locations at which the 
References
Fox, P.N., B. Skovmand, B.K. Thompson, H.J. Braun, and R. Cormier. 1990. Yield and adaptation of hexaploid spring triticale. Euphytica 47:57-64. doi:10.1007/BF00040364 .
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
out <- Fox(data_ge2, ENV, GEN, PH)
#> Evaluating trait PH |============================================| 100% 00:00:00 
print(out)
#> Variable PH 
#> ---------------------------------------------------------------------------
#> Fox TOP third criteria
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 3
#>    GEN       Y   TOP
#>    <fct> <dbl> <int>
#>  1 H1     2.62     2
#>  2 H10    2.31     0
#>  3 H11    2.39     0
#>  4 H12    2.44     1
#>  5 H13    2.54     3
#>  6 H2     2.60     1
#>  7 H3     2.59     2
#>  8 H4     2.58     1
#>  9 H5     2.57     1
#> 10 H6     2.56     0
#> 11 H7     2.40     0
#> 12 H8     2.33     0
#> 13 H9     2.36     1
#> 
#> 
#> 
# }
