compareCompositionPlot: Compare the compositions of a data set and a subset

In csoneson/geosketchR: An R interface for python subsampling/sketching algorithms

Compare the compositions of a data set and a subset

Description

Plot the composition of a data set (e.g., the number of cells from each cell type) and contrast it with the corresponding composition of a subset.

Usage

compareCompositionPlot(
  df,
  idx,
  column,
  showPercentages = TRUE,
  fontSizePercentages = 4
)

Arguments

df	A data.frame-like object (such that df[[column]] works).
idx	A numeric vector representing the row indexes of df corresponding to the subset of interest. Can also be a named list of index vectors if multiple subsets are of interest.
column	A character scalar corresponding to a column of df and representing the variable for which the composition should be calculated.
showPercentages	Logical scalar, indicating whether relative frequencies of each category should be shown in the plot.
fontSizePercentages	Numerical scalar, indicating the font size of the relative frequencies, if showPercentages is TRUE.

Value

A ggplot object.

Author(s)

Charlotte Soneson

Examples

df <- data.frame(celltype = sample(LETTERS[1:5], 1000, replace = TRUE,
                                   prob = c(0.1, 0.2, 0.5, 0.05, 0.15)))
idx <- sample(seq_len(1000), 200)
compareCompositionPlot(df, idx, "celltype")

csoneson/geosketchR documentation built on May 2, 2024, 3:08 p.m.