monitoR (version 1.0.3)

specCols: Color Vectors for Spectrograms

Description

Functions to generate a selection of color vectors for spectrograms based on existing color vectors for images in grDevices. Vectors are reversed relative to their parent (i.e. numerical sequences progress from 1 to 0 rather than 0 to 1).

Usage

gray.1(n = 30)
gray.2(n = 30)
gray.3(n = 30)
rainbow.1(n = 15)
topo.1(n = 12)

Arguments

n

A vector of desired color levels between 1 and 0; one indicates high amplitude ("black", "red", or "blue") and zero indicates low amplitude ("white", "purple", or "tan").

Value

• A vector of colors.

Details

The n argument will divide the vector into n color levels.

References

Based on the color palettes from grDevices, and loosely on those used in seewave

See Also

gray, rainbow, topo.colors, terrain.colors

Examples

spec.test<-function(mat, spec.col) image(z=t(mat), col=spec.col)

mat<-matrix(1:30, ncol=6, byrow=TRUE)

spec.test(mat = mat, spec.col = gray.1())
spec.test(mat = mat, spec.col = gray.2())
spec.test(mat = mat, spec.col = gray.3())
spec.test(mat = mat, spec.col = rainbow.1())
spec.test(mat = mat, spec.col = topo.1())

# Colors are defined as:
gray.1 <- function(n=30) gray(seq(1, 0, length.out=n))
gray.2 <- function(n=30) gray(1-seq(0, 1, length.out=n)^2)
gray.3 <- function(n=30) gray(1-seq(0, 1, length.out=n)^3)
rainbow.1 <- function(n=15) rev(rainbow(n))
topo.1 <- function(n=12) rev(topo.colors(n))