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This function computes the stability analysis and environmental stratification using factor analysis as proposed by Murakami and Cruz (2004).
ge_factanal(.data, env, gen, rep, resp, mineval = 1, verbose = TRUE)
An object of class ge_factanal with the following items:
ge_factanal
data: The data used to compute the factor analysis.
data
cormat: The correlation matrix among the environments.
cormat
PCA: The eigenvalues and explained variance.
PCA
FA: The factor analysis.
FA
env_strat: The environmental stratification.
env_strat
KMO: The result for the Kaiser-Meyer-Olkin test.
KMO
MSA: The measure of sampling adequacy for individual variable.
MSA
communalities: The communalities.
communalities
communalities.mean: The communalities' mean.
communalities.mean
initial.loadings: The initial loadings.
initial.loadings
finish.loadings: The final loadings after varimax rotation.
finish.loadings
canonical.loadings: The canonical loadings.
canonical.loadings
scores.gen: The scores for genotypes for the first and second factors.
scores.gen
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 minimum value so that an eigenvector is retained in the factor analysis.
Logical argument. If verbose = FALSE the code will run silently.
verbose = FALSE
Tiago Olivoto, tiagoolivoto@gmail.com
Murakami, D.M.D., and C.D.C. Cruz. 2004. Proposal of methodologies for environment stratification and analysis of genotype adaptability. Crop Breed. Appl. Biotechnol. 4:7-11.
superiority(), ecovalence(), ge_stats(), ge_reg()
superiority()
ecovalence()
ge_stats()
ge_reg()
# \donttest{ library(metan) model <- ge_factanal(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH) # }
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