ge_polar: Power Law Residuals as yield stability index
Description
Performs a stability analysis based on the Power Law Residuals (POLAR)
statistics (Doring et al., 2015). POLAR is the residuals from the linear
regression of log(^2) against log() and can be
used as a measure of crop stability with lower stability (relative to all
samples with that mean yield) indicated by more positive POLAR values, and
higher stability (relative to all samples with that mean yield) indicated by
more negative POLAR values.
Usage
ge_polar(.data, env, gen, resp, base = 10, 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.
POLAR The Power Law Residuals
POLAR_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).
base
The base with respect to which logarithms are computed. Defaults
to 10.
verbose
Logical argument. If verbose = FALSE the code will run
silently.
Doring, T.F., S. Knapp, and J.E. Cohen. 2015. Taylor's power law
and the stability of crop yields. F. Crop. Res. 183: 294-302.
tools:::Rd_expr_doi("10.1016/j.fcr.2015.08.005")