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Stability analysis using the known genotypic confidence index (Annicchiarico, 1992) modified by Schmildt et al. 2011.
Schmildt(.data, env, gen, rep, resp, prob = 0.05, verbose = TRUE)
A list where each element is the result for one variable and contains the following data frames:
environments Contains the mean, environmental index and classification as favorables and unfavorables environments.
general Contains the genotypic confidence index considering all environments.
favorable Contains the genotypic confidence index considering favorable environments.
unfavorable Contains the genotypic confidence index considering unfavorable environments.
The dataset containing the columns related to Environments, Genotypes, replication/block 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 name of the column that contains the levels of the replications/blocks
The response variable(s). To analyze multiple variables in a single procedure use, for example, resp = c(var1, var2, var3).
resp = c(var1, var2, var3)
The probability of error assumed.
Logical argument. If verbose = FALSE the code will run silently.
verbose = FALSE
Tiago Olivoto, tiagoolivoto@gmail.com
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J. Genet. Breed. 46:269-278.
Schmildt, E.R., A.L. Nascimento, C.D. Cruz, and J.A.R. Oliveira. 2011. Avaliacao de metodologias de adaptabilidade e estabilidade de cultivares milho. Acta Sci. - Agron. 33:51-58. tools:::Rd_expr_doi("10.4025/actasciagron.v33i1.5817")
superiority(), ecovalence(), ge_stats(), Annicchiarico()
superiority()
ecovalence()
ge_stats()
Annicchiarico()
# \donttest{ library(metan) Sch <- Schmildt(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH) print(Sch) # }
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