ge_acv: Adjusted Coefficient of Variation as yield stability index
Description
Performs a stability analysis based on the scale-adjusted coefficient of
variation (Doring and Reckling, 2018). For more details see
acv()
Usage
ge_acv(.data, env, gen, resp, verbose = TRUE)
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.
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.
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. tools:::Rd_expr_doi("10.1016/j.eja.2018.06.007")