Annicchiarico's genotypic confidence index
Stability analysis using the known genotypic confidence index (Annicchiarico, 1992).
Annicchiarico(.data, env, gen, rep, resp, prob = 0.25, verbose = TRUE)
.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.rep
: The name of the column that contains the levels of the replications/blocksresp
: The response variable(s). To analyze multiple variables in a single procedure use, for example, resp = c(var1, var2, var3)
.prob
: The probability of error assumed.verbose
: Logical argument. If verbose = FALSE
the code will run silently.A list where each element is the result for one variable and contains the following data frames:
library(metan) Ann <- Annicchiarico(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH) print(Ann)
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J. Genet. Breed. 46:269-278.
superiority()
, ecovalence()
, ge_stats()
Tiago Olivoto, tiagoolivoto@gmail.com
Useful links