Prop_comp_multi: Plot heatmap of real and estimated cell type proportions

In kalpita23/scRNA_package: Multi-subject single cell deconvolution

Description

Generate heatmaps of real and estimated cell type proportions side by side. Pearson correlation can be calculated and printed.

Usage

Prop_comp_multi(
  prop.real,
  prop.est,
  method.name = NULL,
  title = NULL,
  eval = TRUE,
  ...
)

Arguments

prop.real	a matrix of real cell type proportions
prop.est	a matrix or a list of matrices of estimated cell type proportions
method.name	vector of the names of estimation methods. Default is NULL and the names will be generated automatically as 'Est1', 'Est2', ...
title	a string of the title of the plot
eval	logical, default as TRUE. If TRUE, pearson correlation evaluation will be printed on the figure.

Value

a 'ggplot' object with [ggplot2::geom_tile]

See Also

Abs_diff_multi, Eval_multi, Scatter_multi

Examples

# generate random data

kalpita23/scRNA_package documentation built on June 26, 2020, 12:15 a.m.