Add heatmap — add_heatmap • tidyplots

Add heatmap

Usage

add_heatmap(
  plot,
  scale = c("none", "row", "column"),
  rotate_labels = 90,
  rasterize = FALSE,
  rasterize_dpi = 300,
  ...
)

Arguments

plot: A tidyplot generated with the function tidyplot().
scale: Whether to compute row z scores for "row" or "column". Defaults to "none".
rotate_labels: Degree to rotate the x-axis labels. Defaults to 90.
rasterize: If FALSE (the default) the layer will be constructed of vector shapes. If TRUE the layer will be rasterized to a pixel image. This can be useful when plotting many individual objects (1,000 or more) compromises the performance of the generated PDF file.
rasterize_dpi: The resolution in dots per inch (dpi) used for rastering the layer if rasterize is TRUE. The default is 300 dpi.
...: Arguments passed on to the geom function.

Value

A tidyplot object.

Details

add_heatmap() supports rasterization. See examples and Advanced plotting.

Examples

climate %>%
  tidyplot(x = month, y = year, color = max_temperature) %>%
  add_heatmap()


# Calculate row-wise z score
climate %>%
  tidyplot(x = month, y = year, color = max_temperature) %>%
  add_heatmap(scale = "row")


# Calculate column-wise z score
climate %>%
  tidyplot(x = month, y = year, color = max_temperature) %>%
  add_heatmap(scale = "column")


# Rasterize heatmap
climate %>%
  tidyplot(x = month, y = year, color = max_temperature) %>%
  add_heatmap(rasterize = TRUE, rasterize_dpi = 20)