ge_factanal | R Documentation |
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)
.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/blocks |
resp |
The response variable(s). To analyze multiple variables in a
single procedure use, for example, |
mineval |
The minimum value so that an eigenvector is retained in the factor analysis. |
verbose |
Logical argument. If |
An object of class ge_factanal
with the following items:
data
: The data used to compute the factor analysis.
cormat
: The correlation matrix among the environments.
PCA
: The eigenvalues and explained variance.
FA
: The factor analysis.
env_strat
: The environmental stratification.
KMO
: The result for the Kaiser-Meyer-Olkin test.
MSA
: The measure of sampling adequacy for individual variable.
communalities
: The communalities.
communalities.mean
: The communalities' mean.
initial.loadings
: The initial loadings.
finish.loadings
: The final loadings after varimax rotation.
canonical.loadings
: The canonical loadings.
scores.gen
: The scores for genotypes for the first and second factors.
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()
library(metan) model <- ge_factanal(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH)
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