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iCOBRA (version 1.0.2)

plot_corr: 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
An 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

Examples

Run this code
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")

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