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Performs a stability analysis based on the scale-adjusted coefficient of
variation (Doring and Reckling, 2018). For more details see
acv()
ge_acv(.data, env, gen, resp, verbose = TRUE)
The dataset containing the columns related to Environments, Genotypes and response variable(s).
The name of the column that contains the levels of the environments.
The name of the column that contains the levels of the genotypes.
The response variable(s). To analyze multiple variables in a
single procedure use, for example, resp = c(var1, var2, var3)
.
Logical argument. If verbose = FALSE
the code will run
silently.
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.
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. 10.1016/j.eja.2018.06.007
# NOT RUN {
library(metan)
out <- ge_acv(data_ge2, ENV, GEN, c(EH, PH, EL, CD, ED, NKE))
gmd(out)
# }
# NOT RUN {
# }
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