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.
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 in all retained factors.
scores_ide The scores for the ideotype in all retained factors.
MTSI The multi-trait mean performance and stability index.
contri_fac The relative contribution of each factor on the MTSI
value. The lower the contribution of a factor, the close of the ideotype the
variables in such factor are.
contri_fac_rank, contri_fac_rank_sel The rank for the contribution
of each factor for all genotypes and selected genotypes, respectively.
sel_dif_trait, sel_dif_stab, sel_dif_mps A data frame containing the
selection differential (gains) for the mean performance, stability index, and
mean performance and stability index, respectively. The following variables
are shown.
VAR
: the trait's name.
Factor
: The factor that traits where grouped into.
Xo
: The original population mean.
Xs
: The mean of selected genotypes.
SD
and SDperc
: The selection differential and selection differential in
percentage, respectively.
h2
: The broad-sense heritability.
SG
and SGperc
: The selection gains and selection gains in percentage,
respectively.
sense
: The desired selection sense.
goal
: selection gains match desired sense? 100 for yes and 0 for no.
stat_dif_trait, stat_dif_stab, stat_dif_mps A data frame with the
descriptive statistic for the selection gains for the mean performance,
stability index, and mean performance and stability index, respectively. The
following columns are shown by sense.
sense
: The desired selection sense.
variable
: the trait's name.
min
: the minimum value for the selection gain.
mean
: the mean value for the selection gain.
ci
: the confidence interval for the selection gain.
sd.amo
: the standard deviation for the selection gain.
max
: the maximum value for the selection gain.
sum
: the sum of the selection gain.
sel_gen The selected genotypes.