ggfacet: Single 'ggplot2' plot matrix with 'facet_grid'

In GGally: Extension to 'ggplot2'

Single ggplot2 plot matrix with facet_grid

Description

Single ggplot2 plot matrix with facet_grid

Usage

ggfacet(
  data,
  mapping = NULL,
  columnsX = 1:ncol(data),
  columnsY = 1:ncol(data),
  fn = ggally_points,
  ...,
  columnLabelsX = names(data[columnsX]),
  columnLabelsY = names(data[columnsY]),
  xlab = NULL,
  ylab = NULL,
  title = NULL,
  scales = "free"
)

Arguments

data	data.frame that contains all columns to be displayed. This data will be melted before being passed into the function fn
mapping	aesthetic mapping (besides x and y). See aes()
columnsX	columns to be displayed in the plot matrix
columnsY	rows to be displayed in the plot matrix
fn	function to be executed. Similar to ggpairs and ggduo, the function may either be a string identifier or a real function that wrap understands.
...	extra arguments passed directly to fn
columnLabelsX, columnLabelsY	column and row labels to display in the plot matrix
xlab, ylab, title	plot matrix labels
scales	parameter supplied to ggplot2::facet_grid. Default behavior is "free"

Examples

# Small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive
if (requireNamespace("chemometrics", quietly = TRUE)) {
  data(NIR, package = "chemometrics")
  NIR_sub <- data.frame(NIR$yGlcEtOH, NIR$xNIR[, 1:3])
  str(NIR_sub)
  x_cols <- c("X1115.0", "X1120.0", "X1125.0")
  y_cols <- c("Glucose", "Ethanol")

  # using ggduo directly
  p <- ggduo(NIR_sub, x_cols, y_cols, types = list(continuous = "points"))
  p_(p)

  # using ggfacet
  p <- ggfacet(NIR_sub, x_cols, y_cols)
  p_(p)

  # add a smoother
  p <- ggfacet(NIR_sub, x_cols, y_cols, fn = "smooth_loess")
  p_(p)
  # same output
  p <- ggfacet(NIR_sub, x_cols, y_cols, fn = ggally_smooth_loess)
  p_(p)

  # Change scales to be the same in for every row and for every column
  p <- ggfacet(NIR_sub, x_cols, y_cols, scales = "fixed")
  p_(p)
}

GGally documentation built on May 29, 2024, 8:29 a.m.