R2BayesX: colorlegend – R documentation

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colorlegend

Plot a Color Legend

Description

Function to generate a color legend, the legend may be added to an existing plot or drawn in a separate plotting window.

Usage

colorlegend (color = NULL, ncol = NULL, x = NULL, 
  breaks = NULL, pos = "center", shift = 0.02, side.legend = 1L, 
  side.ticks = 1L, range = NULL, lrange = NULL, 
  width = 0.4, height = 0.06, scale = TRUE, xlim = NULL, 
  ylim = NULL, plot = NULL, full = FALSE, add = FALSE, 
  col.border = "black", lty.border = 1L, lwd.border = 1L, 
  ticks = TRUE, at = NULL, col.ticks = "black", lwd.ticks = 1L, 
  lty.ticks = 1L, length.ticks = 0.3, labels = NULL, 
  distance.labels = 0.8, col.labels = "black", cex.labels = 1L, 
  digits = 2L, swap = FALSE, symmetric = TRUE, xpd = NULL,
  title = NULL, side.title = 2, shift.title = c(0, 0), ...)

Arguments

`color`	character, integer. The colors for the legend, may also be a function, e.g. `colors = heat.colors`.
`ncol`	integer, the number of different colors that should be generated if `color` is a function.
`x`	numeric, values for which the color legend should be drawn.
`breaks`	numeric, a set of breakpoints for the colors: must give one more breakpoint than `ncol`.
`pos`	character, numeric. The position of the legend. Either a numeric vector, e.g. `pos = c(0.1, 0.2)` will add the legend at the 10\% point in the x-direction and at the 20\% point in the y-direction of the plotting window, may also be negative, or one of the following: `"bottomleft"`, `"topleft"`, `"topright"`, `"bottomright"`, `"left"`, `"right"`, `"top"`, `"bottom"` and `"center"`.
`shift`	numeric, if argument `pos` is a character, `shift` determines the distance of the legend from the plotting box.
`side.legend`	integer, if set to `2` the legend will be flipped by 90 degrees.
`side.ticks`	integer, if set to `2`, the ticks and labels will be on the opposite site of the legend.
`range`	numeric, specifies a range for `x` values for which the legend should be drawn.
`lrange`	numeric, specifies the range of legend.
`width`	numeric, the width of the legend, if `scale = TRUE` the width is proportional to the x-limits of the plotting window.
`height`	numeric, the height of the legend, if `scale = TRUE` the height is proportional to the y-limits of the plotting window.
`scale`	logical, if set to `TRUE`, the `width` and `height` of the legend will be calculated proportional to the x- and y-limits of the plotting window.
`xlim`	numeric, the x-limits of the plotting window the legend should be added for, numeric vector, e.g., returned from function `range`.
`ylim`	numeric, the y-limits of the plotting window the legend should be added for, numeric vector, e.g., returned from function `range`.
`plot`	logical, if set to `TRUE`, the legend will be drawn in a separate plotting window.
`full`	logical, if set to `TRUE`, the legend will be drawn using the full window range.
`add`	logical, if set to `TRUE`, the legend will be added to an existing plot.
`col.border`	the color of the surrounding border line of the legend.
`lty.border`	the line type of the surrounding border line of the legend.
`lwd.border`	the line width of the surrounding border line of the legend.
`ticks`	logical, if set to `TRUE`, ticks will be added to the legend.
`at`	numeric, specifies at which locations ticks and labels should be added.
`col.ticks`	the colors of the ticks.
`lwd.ticks`	the line width of the ticks.
`lty.ticks`	the line type of the ticks.
`length.ticks`	numeric, the length of the ticks as percentage of the `height` or `width` of the colorlegend.
`labels`	character, specifies labels that should be added to the ticks.
`distance.labels`	numeric, the distance of the labels to the ticks, proportional to the length of the ticks.
`col.labels`	the colors of the labels.
`cex.labels`	text size of the labels.
`digits`	integer, the decimal places if labels are numerical.
`swap`	logical, if set to `TRUE` colors will be represented in reverse order.
`symmetric`	logical, if set to `TRUE`, a symmetric legend will be drawn corresponding to the `+- max(abs(x))` value.
`xpd`	sets the `xpd` parameter in function `par`.
`title`	character, a title for the legend.
`side.title`	integer, `1` or `2`. Specifies where the legend is placed, either on top if `side.title = 1` or at the bottom if `side.title = 2`.
`shift.title`	numeric vector of length 2. Specifies a possible shift of the title in either x- or y-direction.
`...`	other graphical parameters to be passed to function `text`.

Value

A named list with the colors generated, the breaks and the function map, which may be used for mapping of x values to the colors specified in argument colors, please see the examples below.

Author(s)

Nikolaus Umlauf, Thomas Kneib, Stefan Lang, Achim Zeileis.

Examples

## play with colorlegend
colorlegend()
colorlegend(side.legend = 2)
colorlegend(side.legend = 2, side.ticks = 2)
colorlegend(height = 2)
colorlegend(width = 1, height = 0.8, scale = FALSE, 
  pos = c(0, 0.2), length.ticks = 0.5)
colorlegend(color = heat.colors, ncol = 9)
colorlegend(color = heat.colors, ncol = 9, swap = TRUE)
colorlegend(pos = "bottomleft")
colorlegend(pos = "topleft")
colorlegend(pos = "topright")
colorlegend(pos = "bottomright")


## take x values for the color legend
x <- runif(100, -2, 2)
colorlegend(color = diverge_hcl, x = x)
colorlegend(color = diverge_hcl, x = x, at = c(-1.5, 0, 1.5))
colorlegend(color = diverge_hcl, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"))
colorlegend(color = rainbow_hcl, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5)
colorlegend(color = heat_hcl, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5,
  lwd.border = 2, lwd.ticks = 2, cex.labels = 1.5, font = 2)
colorlegend(color = topo.colors, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5,
  lwd.border = 2, lwd.ticks = 2, cex.labels = 1.5, font = 2,
  col.border = "green3", col.ticks = c(2, 5, 2), 
  col.labels = c(6, 4, 3))
colorlegend(color = diverge_hsv, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5,
  lwd.border = 2, lwd.ticks = 2, cex.labels = 1.5, font = 2,
  col.border = "green3", col.ticks = c(2, 5, 2), 
  col.labels = c(6, 4, 3), lty.border = 2, lty.ticks = c(2, 3, 2))
colorlegend(color = diverge_hsv, x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5,
  lwd.border = 2, lwd.ticks = 2, cex.labels = 1.5, font = 2,
  col.border = "green3", col.ticks = c(2, 5, 2), 
  col.labels = c(6, 4, 3), lty.border = 2, lty.ticks = c(2, 3, 2),
  ncol = 3)
colorlegend(color = c("red", "white", "red"), x = x, at = c(-1.5, 0, 1.5),
  labels = c("low", "middle", "high"), length.ticks = 1.5,
  lwd.border = 2, lwd.ticks = 2, cex.labels = 1.5, font = 2,
  col.border = "green3", col.ticks = c(2, 5, 2), 
  col.labels = c(6, 4, 3), lty.border = 2, lty.ticks = c(2, 3, 2),
  ncol = 3, breaks = c(-2, -1, 1, 2))
colorlegend(color = diverge_hcl, x = x, range = c(-3, 3))
colorlegend(color = diverge_hcl, x = x, range = c(-3, 3), lrange = c(-6, 6))


## combine plot with color legend
n <- 100
x <- y <- seq(-3, 3, length.out = n)
z <- outer(sin(x), cos(x)) 
pal <- colorlegend(color = diverge_hcl, x = z, plot = FALSE)
op <- par(no.readonly = TRUE)
par(mar = c(4.1, 4.1, 1.1, 1.1))
layout(matrix(c(1, 2), nrow = 1), widths = c(1, 0.3))
image(x = x, y = y, z = z, col = pal$colors, breaks = pal$breaks)
par(mar = c(4.1, 0.1, 1.1, 3.1))
colorlegend(color = diverge_hcl, x = z, plot = TRUE, full = TRUE,
  side.legend = 2, side.ticks = 2)
par(op)


## another example with different plot
n <- 50
x <- sin(seq(-3, 3, length.out = n)) 
pal <- colorlegend(color = diverge_hcl, x = x, plot = FALSE)
op <- par(no.readonly = TRUE)
par(mar = c(7.1, 4.1, 1.1, 1.1))
barplot(x, border = "transparent", col = pal$map(x))
colorlegend(color = diverge_hcl, x = x, plot = FALSE, add = TRUE,
  xlim = c(0, 60), ylim = c(-1, 1), pos = c(0, -0.15), xpd = TRUE,
  scale = FALSE, width = 60, height = 0.15,
  at = seq(min(x), max(x), length.out = 9))
par(op)

R2BayesX

Estimate Structured Additive Regression Models with 'BayesX'

v1.1-1

GPL-2 | GPL-3

Authors

Nikolaus Umlauf [aut, cre], Thomas Kneib [aut], Stefan Lang [aut], Achim Zeileis [aut] (0000-0003-0918-3766)

Initial release

2017-12-05