plot_interpolation_vs_covariate: Plot interpolated factors versus covariate (1-dimensional)

In bioFAM/MOFA2: Multi-Omics Factor Analysis v2

Plot interpolated factors versus covariate (1-dimensional)

Description

make a plot of interpolated covariates versus covariate

Usage

plot_interpolation_vs_covariate(
  object,
  covariate = 1,
  factors = "all",
  only_mean = TRUE,
  show_observed = TRUE
)

Arguments

object	a trained MOFA object using MEFISTO.
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

Details

to be filled

Value

Returns a ggplot2 object

Examples

# 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)

bioFAM/MOFA2 documentation built on Feb. 1, 2024, 6:41 a.m.