trans_composition: Transformation for continuous data with a finite number of...
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trans_composition

R Documentation

Transformation for continuous data with a finite number of distinct values

Description

trans_composition() derives a transformation from a numerical vector with a smaller number (ideally < 30) of distinct values. The return can be used with function ggplot::scale_x_continuous() or ggplot::scale_y_continuous() to create a desired axis.

Usage

trans_composition(x = NULL, nb = 30, brk = NA, dab = NA, dgrd = NA, dgrd2 = NA)

Arguments

`x`	A numerical vector used in a plot as (typically) `x`
`nb`	An integer for the maximum number of breaks. Default=30
`brk`	One of A numerical value within `range(x)`. All values after the value will be spaced equally `NA` or a numerical value that is greater than or equal to `max(x)`. All values will be plotted in the original scale A numerical value that is smaller than or equal to `max(x)`. All values will be plotted in equal space
`dab`	One of NA for a value calculated automatically A number for the distance after `brk`
`dgrd`	One of NA for a value calculated automatically A number for the minimum space between major grids
`dgrd2`	One of NA for a value calculated automatically A number for the minimum space between major grids

Value

A transformation function

Examples

library(ggplot2)
pdt=data.frame(x=rep(c(0.5, 1, 10,11,12, 100, 1000), each=5))
pdt$y=pdt$x+rnorm(length(pdt$x))
t=trans_composition(pdt$x,brk=50, dab=3)
ggplot(pdt, aes(x=x, y=y))+geom_point()+scale_x_continuous(trans=t)

mtb documentation built on Oct. 21, 2022, 1:05 a.m.