Description Usage Arguments Value Examples
Extract the latent factors from the model.
1 | getFactors(object, factors = "all", as.data.frame = FALSE)
|
object |
a trained |
factors |
character vector with the factor name(s), or numeric vector with the factor index(es). Default is "all". |
as.data.frame |
logical indicating whether to return a long data frame instead of a matrix.
Default is |
By default it returns the latent factor matrix of dimensionality (N,K),
where N is number of samples and K is number of factors.
Alternatively, if as.data.frame
is TRUE
,
returns a long-formatted data frame with columns (sample,factor,value).
1 2 3 4 5 6 7 | # load a trained MOFAmodel object
filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
MOFAobject <- loadModel(filepath)
# get factors as matrix
getFactors(MOFAobject, factors = 1:3)
# get factors as data.frame
head(getFactors(MOFAobject, factors = 1:5, as.data.frame = TRUE))
|
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