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berryFunctions (version 1.18.2)

colPointsHist: Histogram for colPoints

Description

Adds Histogram to plots created or enhanced with colPoints

Usage

colPointsHist(z, nbins = 40, colors = seqPal(nbins), bb = seqR(z,
  length.out = nbins + 1), at = pretty2(z), labels = at,
  bg = "white", x1 = 0, x2 = 0.4, y1 = 0, y2 = 0.3,
  outer = FALSE, mar = c(2, 2, 1, 0.5), mgp = c(1.8, 0.6, 0),
  sborder = NA, resetfocus = TRUE, breaks = 20, freq = TRUE,
  col = par("fg"), border = NA, main = "", ylab = "", xlab = "",
  las = 1, axes = TRUE, ...)

Arguments

z

Values of third dimension used in colPoints

nbins

Number of classes (thus, colors). DEFAULT: 40

colors

Colors that are used for the background. DEFAULT: seqPal(nbins)

bb

Borders of bins for the background. DEFAULT: seqR(z, length.out=nbins+1)

at

Positions of x-axis labels. DEFAULT: pretty2(z)

labels

X-axis labels themselves. DEFAULT: at

bg

Background behind background and axis labels. DEFAULT: "white"

x1, x2, y1, y2

Relative coordinates [0:1] of inset plot, see smallPlot. DEFAULT: x: 0-0.3, y: 0-0.4

outer

Logical: Should legend be relative to device instead of current figure? use outer=TRUE when par(mfrow, oma) is set. DEFAULT: FALSE

mar

Margins for smallPlot. DEFAULT: c(2, 2, 1, 0.5)

mgp

MarGinPlacement: distance of xlab/ylab, numbers and line from plot margin, as in par, but with different defaults. DEFAULT: c(1.8, 0.6, 0)

sborder

Border around inset subplot. DEFAULT: par("fg")

resetfocus

Reset focus to original plot? Specifies where further low level plot commands are directed to. DEFAULT: TRUE

breaks

Breaks as in hist, but with a different default. DEFAULT: 20

freq

Plot count data in hist? (if FALSE, plot density instead). DEFAULT: TRUE

col

Color of histogram bars. DEFAULT: par("fg")

border

Border around each bar. DEFAULT: NA

main, ylab, xlab

Labels. DEFAULT: ""

las

LabelAxisStyle. DEFAULT: 1

axes

Draw axes?. DEFAULT: TRUE

Further arguments passed to hist. NOT POSSIBLE: x, add

Value

invisible list of par of smallPlot, adds histogram to current plot

See Also

colPointsLegend and colPoints for real life examples

Examples

Run this code
# NOT RUN {
z <- rnorm(50)
plot(1:10)
colPointsHist(z=z)

# }

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