Displaying minor logarithmic ticks in x-axis in R Displaying minor logarithmic ticks in x-axis in R r r

Displaying minor logarithmic ticks in x-axis in R


There is a function minor.tick in the package Hmisc, but that one deals poorly with logarithmical scales. I use the following function for getting minor ticks that follow the logarithmical scale. ax is the axis you use it on (same as for the function axis), n is the number of minor ticks (default to 9), t.ratio is the ratio between the major and the minor ticks, and with ... you can pass extra parameters to axis

edit : Nice idea in the comments, so I edited my function. There are two extra parameters, mn and mx for the minimum and the maximum on the logarithmic scale (mn=0 thus means the minimum is 10^0 or 1 !)

The function:

minor.ticks.axis <- function(ax,n,t.ratio=0.5,mn,mx,...){  lims <- par("usr")  if(ax %in%c(1,3)) lims <- lims[1:2] else lims[3:4]  major.ticks <- pretty(lims,n=5)  if(missing(mn)) mn <- min(major.ticks)  if(missing(mx)) mx <- max(major.ticks)  major.ticks <- major.ticks[major.ticks >= mn & major.ticks <= mx]  labels <- sapply(major.ticks,function(i)            as.expression(bquote(10^ .(i)))          )  axis(ax,at=major.ticks,labels=labels,...)  n <- n+2  minors <- log10(pretty(10^major.ticks[1:2],n))-major.ticks[1]  minors <- minors[-c(1,n)]  minor.ticks = c(outer(minors,major.ticks,`+`))  minor.ticks <- minor.ticks[minor.ticks > mn & minor.ticks < mx]  axis(ax,at=minor.ticks,tcl=par("tcl")*t.ratio,labels=FALSE)}

This can be applied as follows :

x <- 10^(0:8)y <- 1:9plot(log10(x),y,xaxt="n",xlab="x",xlim=c(0,9))minor.ticks.axis(1,9,mn=0,mx=8)

Gives :

enter image description here


Here is a simple function to to this:

log10.axis <- function(side, at, ...) {    at.minor <- log10(outer(1:9, 10^(min(at):max(at))))    lab <- sapply(at, function(i) as.expression(bquote(10^ .(i))))    axis(side=side, at=at.minor, labels=NA, tcl=par("tcl")*0.5, ...)    axis(side=side, at=at, labels=lab, ...)}

Here is an example:

x <- exp(rnorm(200, 5))hist(log(x), 20, xaxt="n", xlim=c(0, 8))log10.axis(1, at=seq(0, 8, 2))

Gives:enter image description here