create_count_plot: Make scatterplot of normalised counts

In richysix/rnaseqVis: Viewer for RNASeq gene expression data

Make scatterplot of normalised counts

Description

Make scatterplot of normalised counts

Usage

create_count_plot(
  count_data,
  x_var,
  colour_var,
  colour_palette,
  shape_var = NULL,
  shape_palette = c(21:24),
  debug = FALSE
)

Arguments

count_data	tibble::tibble() of count data joined to sample info
x_var	character column name to use as the X variable
colour_var	character column name to use as the colour variable
colour_palette	character named vector of colours
shape_var	character column name to use as the shape variable. It can be NULL in which case the points are all circles
shape_palette	numeric vector of numbers for the shapes
debug	logical print debugging info

Value

a ggplot2::ggplot() object

Examples

create_count_plot(counts_for_gene, x_var = 'condition', colour_var = 'treatment',
colour_palette = c('yellow', 'blue', 'red'), shape_var = 'timepoint')

richysix/rnaseqVis documentation built on Feb. 12, 2024, 1:37 p.m.