Plots the correlation between factors and covariates for MOFA — mofa_plot_cor

Plots the Pearson correlation between MOFA latent factors and covariates (obtained from the samples metadata). This function provides the ggplot2 version of the plot created with correlate_factors_with_covariates (with the plot parameter set to 'r').

Usage

mofa_plot_cor_covariates(
  mofa_output,
  covariates = NULL,
  show_cor = TRUE,
  min_show_cor = 0.2,
  round_cor = 2,
  factor_as_col = TRUE
)

Arguments

mofa_output: The output from run_mofa.
covariates: Character vector, the covariates to use for the plot. If NULL, all covariates retrieved via colnames(MOFA2::samples_metadata(mofa_output)) (except group, id and sample) will be used. Default value is NULL.
show_cor: Logical, should the correlation values be added to the plot? Default value is TRUE.
min_show_cor: Numeric, the minimum value below which correlation coefficients values are not added to the plot (i.e. only a circle will appear for these values but no text). Ignored if show_cor is FALSE. Default value is 0.2.
round_cor: Integer, how many decimal places to show for the correlation coefficients. Ignored if show_cor is FALSE. Default value is 2.
factor_as_col: Logical, should the factors be represented in columns? If FALSE, will be represented in rows instead. Default value is TRUE.

Value

A ggplot.