get_variance_explained {MOFA2} | R Documentation |
Extract the latent factors from the model.
get_variance_explained( object, groups = "all", views = "all", factors = "all", as.data.frame = FALSE )
object |
a trained |
groups |
character vector with the group name(s), or numeric vector with the group index(es). Default is "all". |
views |
character vector with the view name(s), or numeric vector with the view index(es). Default is "all". |
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 |
A list of data matrices with variance explained per group or a data.frame
(if as.data.frame
is TRUE)
# Using an existing trained model file <- system.file("extdata", "model.hdf5", package = "MOFA2") model <- load_model(file) # Fetch variance explained values (in matrix format) r2 <- get_variance_explained(model) # Fetch variance explained values (in data.frame format) r2 <- get_variance_explained(model, as.data.frame = TRUE)