jj_gg_heatmap: feature heatmap based on ggplot

In mathosi/jj: Just Joise

feature heatmap based on ggplot

Description

feature heatmap based on ggplot

Usage

jj_gg_heatmap(
  df,
  x_group,
  y_group,
  value,
  y_annot = NULL,
  x_annot = NULL,
  order_by_annot = FALSE,
  cluster_columns = TRUE,
  cluster_rows = T,
  show_numbers = FALSE,
  size_x = 8,
  size_y = 10,
  col_scale = "rwb0"
)

Arguments

df	data.frame in long format
x_group	Group plotted in rows
y_group	Group plotted in columns
value	Continuous feature used to colour the tiles
y_annot	Optional group used to annotate the columns (be careful not to mix up with rows)
x_annot	Optional group used to annotate the rows (be careful not to mix up with columns)
order_by_annot	instead of clustering columns by values, cluster columns by mixedorder of y annotation
cluster_columns	logical, should rows be clustered
cluster_rows	logical, should rows be clustered
show_numbers	Plot the values as number in each tile
size_x	size of x axis labels
size_y	size of y axis labels
col_scale	Colorscale to use, one of rwb0 (red <0, white = 0, blue >0), viridis

Examples

data('mtcars')
mtcars2 = mtcars %>% dplyr::group_by(cyl, gear) %>% dplyr::summarise(mpg = mean(mpg))
mtcars2$cyl_annot = from_to(mtcars2$cyl, c('4' = 'few', '6' = 'many', '8' = 'many'))
jj_gg_heatmap(mtcars2, x_group = 'cyl', y_group = 'gear', value='mpg', show_numbers = T, col_scale = 'viridis', x_annot = 'cyl_annot')

mathosi/jj documentation built on Feb. 25, 2024, 2:29 p.m.