plot_interpolation_vs_covariate {MOFA2} | R Documentation |
make a plot of interpolated covariates versus covariate
plot_interpolation_vs_covariate( object, covariate = 1, factors = "all", only_mean = TRUE, show_observed = TRUE )
object |
a trained |
covariate |
covariate to use for plotting |
factors |
character or numeric specifying the factor(s) to plot, default is "all" |
only_mean |
show only mean or include uncertainties? |
show_observed |
include observed factor values as dots on the plot |
to be filled
Returns a ggplot2
object
# Using an existing trained model file <- system.file("extdata", "MEFISTO_model.hdf5", package = "MOFA2") model <- load_model(file) model <- interpolate_factors(model, new_values = seq(0,1.1,0.1)) plot_interpolation_vs_covariate(model, covariate = "time", factors = 1)