Produce a heatmap of variables in a grid layout.

This function plots a heatmap of variables in a grid layout, optionally grouping them.

Usage

heat_map(
  data,
  value,
  x_axis,
  y_axis,
  grouping = NULL,
  raster = TRUE,
  smooth = FALSE,
  palette = "default",
  ...
)

Arguments

data: A data frame containing the data to be plotted.
value: A column of data, containing the values that vary over the space which produces the colours.
x_axis: The column of data to use as the x axis data.
y_axis: The column of data to use as the y axis data.
grouping: An optional grouping variable to facet the plot by.
raster: Logical (default: TRUE). If TRUE uses ggplot2::geom_raster() for speed. Will not work if the grid is irregular.
smooth: Logical (default: FALSE). If raster is TRUE, interpolation can be applied across the grid to obtain a smoothed grid. Ignored if raster is FALSE.
palette: Colour palette to use. By default it will use the viridis (colour-blind friendly) palette. Other palettes available can be seen with grDevices::hcl.pals().
...: Other arguments passed to facet_wrap()

Value

A ggplot2 object.

Examples


set.seed(42)
dat <- expand.grid(x = 1:5, y = 1:6)
dat$value <- rnorm(30)
dat$groups <- sample(rep(LETTERS[1:6], times = 5))

heat_map(dat, value, x, y)


# Column names can be quoted, but don't need to be.
heat_map(dat, "value", "x", "y", "groups")


# Different palettes are available
heat_map(dat, value, x, y, palette = "Spectral")


# Arguments in ... are passed through to facet_wrap
heat_map(dat, value, x, y, groups, labeller = ggplot2:::label_both)

heat_map(dat, value, x, y, groups, scales = "free_y")

heat_map(dat, value, x, y, groups, nrow = 1)