heat_map {biometryassist}

Produce a heatmap of variables in a grid layout.

Description

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)