colourscale: colourscale

View source: R/colourscale.R

colourscaleR Documentation

colourscale

Description

generate a colour scale for plotting scales with a variable number states.

Usage

colorscale(n, col = NULL, ...)

## S3 method for class 'factor'
colourscale(factor, col = NULL, colours = NULL, colors = NULL)

## S3 method for class 'character'
colourscale(character, col = NULL, colours = NULL, colors = NULL)

## S3 method for class 'numeric'
colourscale(vector, col = NULL, colours = NULL, colors = NULL)

## Default S3 method:
colourscale(n, col = NULL, colours = NULL, colors = NULL)

Arguments

n

number of colours to generate (integer or numeric)

col, colour, color

scale of colours to interpolate

Examples


# generate colour scale
library("RColorBrewer")
colours <- brewer.pal(11, "Set3")
n <- 3
scale <- colourscale(n, colours)
# example plot
x_mean <- rnorm(n, 1000, 500)
y_mean <- rnorm(n, 1000, 500)
x_vals <- sapply(x_mean, function(x) rnorm(100, x, 50))
y_vals <- sapply(y_mean, function(y) rnorm(100, y, 50))
plot(x_vals, y_vals, col = scale[unlist(lapply(1:n, function(x) rep(x, 100)))], pch = 20)
legend("topleft", legend = 1:n, col = scale, pch = 20)

# generate colour scale
library("RColorBrewer")
colours <- brewer.pal(11, "Set3")
n <- 15
scale <- colourscale(n, colours)
# example plot
x_mean <- rnorm(n, 1000, 500)
y_mean <- rnorm(n, 1000, 500)
x_vals <- sapply(x_mean, function(x) rnorm(100, x, 50))
y_vals <- sapply(y_mean, function(y) rnorm(100, y, 50))
plot(x_vals, y_vals, col = scale[unlist(lapply(1:n, function(x) rep(x, 100)))], pch = 20)
legend("topleft", legend = 1:n, col = scale, pch = 20)


TomKellyGenetics/tktools documentation built on July 6, 2024, 5:44 a.m.