Performs a stability analysis based on the scale-adjusted coefficient of
variation (Doring and Reckling, 2018). For more details see
acv()
Arguments
- .data
The dataset containing the columns related to Environments, Genotypes 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 ge_acv
, 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.
ACV The adjusted coefficient of variation
ACV_R The rank for the ACV value.
References
Doring, T.F., and M. Reckling. 2018. Detecting global trends of cereal yield stability by adjusting the coefficient of variation. Eur. J. Agron. 99: 30-36. doi:10.1016/j.eja.2018.06.007
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
out <- ge_acv(data_ge2, ENV, GEN, c(EH, PH, EL, CD, ED, NKE))
#> Evaluating trait EH |======= | 17% 00:00:00
Evaluating trait PH |=============== | 33% 00:00:00
Evaluating trait EL |====================== | 50% 00:00:00
Evaluating trait CD |============================= | 67% 00:00:00
Evaluating trait ED |===================================== | 83% 00:00:01
Evaluating trait NKE |===========================================| 100% 00:00:01
gmd(out)
#> Class of the model: ge_acv
#> Variable extracted: ACV
#> # A tibble: 13 × 7
#> GEN EH PH EL CD ED NKE
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 22.9 12.5 1.71 0.953 1.65 13.2
#> 2 H10 23.4 14.1 5.98 4.89 6.05 2.22
#> 3 H11 19.1 12.7 6.68 5.00 3.61 4.19
#> 4 H12 20.8 10.2 5.22 5.05 2.53 10.2
#> 5 H13 14.7 9.19 4.25 4.63 6.11 17.2
#> 6 H2 21.3 14.1 3.14 4.37 6.58 14.7
#> 7 H3 25.7 17.4 8.59 6.74 4.07 14.3
#> 8 H4 24.9 15.4 4.51 3.99 4.50 12.4
#> 9 H5 21.1 13.2 4.92 2.19 3.04 2.99
#> 10 H6 14.5 12.4 10.8 8.11 6.33 19.1
#> 11 H7 17.3 12.2 7.33 6.61 3.43 8.11
#> 12 H8 21.9 14.1 7.69 7.48 4.80 12.3
#> 13 H9 23.4 15.7 7.02 7.00 4.64 13.2
# }