Description Usage Arguments Details Value Examples
Generalized canonical correlation with missing individuals for big data
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x |
string for hdf5 file where data to process will be under MGCCA_IN group . Results will be stored in the same data file under MGCCA_OUT group. Missing is not allowed (see details). |
datanames |
string array with datasetnames to use with mcgga |
nfac |
... |
scale |
... |
pval |
should p-values of correlation between variables and shared canonical variates be computed? Default is TRUE. |
scores |
should canonical variables be computed for each table? Default is FALSE. See details |
method |
... |
lambda |
... |
mc.cores |
... |
NOT WORKING
a list consisting of
Y |
canonical components for the shared space |
corsY |
correlation between variables and shared canonical components |
scores |
canonical componets for each table |
p.values |
p-values of correlation between variables and shared canonical components |
AVE |
indicators of model quality based on the Average Variance Explained (AVE): AVE for each table, AVE_outer (average accross tables), AVE_inner(for the shared component). |
1 | see vignette
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