plot_corr: Plot correlations

In csoneson/iCOBRA: Comparison and Visualization of Ranking and Assignment Methods

Plot correlations

Description

Plot correlations between observations and a continuous truth value.

Usage

plot_corr(
  cobraplot,
  title = "",
  stripsize = 15,
  titlecol = "black",
  pointsize = 5,
  xaxisrange = c(-1, 1),
  corrtype = "pearson"
)

Arguments

cobraplot	A COBRAPlot object.
title	A character string giving the title of the plot.
stripsize	A numeric value giving the size of the strip text, when the results are stratified by an annotation.
titlecol	A character string giving the color of the title.
pointsize	A numeric value giving the size of the plot characters.
xaxisrange	A numeric vector with two elements, giving the lower and upper boundary of the x-axis, respectively.
corrtype	A character string giving the type of correlation to show. Either "pearson" or "spearman".

Value

A ggplot object

Author(s)

Charlotte Soneson

Examples

data(cobradata_example)
cobraperf <- calculate_performance(cobradata_example, cont_truth = "logFC",
                                   aspects = "corr")
cobraplot <- prepare_data_for_plot(cobraperf, colorscheme = "Dark2",
                                   incltruth = TRUE)
plot_corr(cobraplot, corrtype = "spearman")

csoneson/iCOBRA documentation built on Nov. 5, 2024, 7:20 p.m.