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问题:
I have a normal distribution plot and a histogram plot with x axis in log scale displaying 0, 10^0, 10^1 ... I want to include minor ticks between the major ones. Actually I was able to change the major ticks format from 1, 2, 3 and so on to 10^0, 10^1, 10^2, 10^3 using the solution given to me in my previous question. I used the following code for the major ticks :
major.ticks <- axTicks(1) labels <- sapply(major.ticks,function(i) as.expression(bquote(10^ .(i))) ) axis(1,at=major.ticks,labels=labels)
Can this be edited to just mark the minor ticks without labeling them?
回答1:
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 <- 1:9 plot(log10(x),y,xaxt="n",xlab="x",xlim=c(0,9)) minor.ticks.axis(1,9,mn=0,mx=8)
Gives :
回答2:
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:
回答3:
Try magaxis
in package magicaxis.
回答4:
Use ""
for the labels of the minor ticks.
回答5:
There was a small error,
lims<-lims[3:4]
was missing
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 <- 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) }
回答6:
In ggplot2
, we can use annotation_logticks
together with scales::trans_breaks
and scales::trans_format
. Below is an example taken from the link above.
library(ggplot2) a <- ggplot(msleep, aes(bodywt, brainwt)) + geom_point(na.rm = TRUE) + scale_x_log10( breaks = scales::trans_breaks("log10", function(x) 10^x), labels = scales::trans_format("log10", scales::math_format(10^.x)) ) + scale_y_log10( breaks = scales::trans_breaks("log10", function(x) 10^x), labels = scales::trans_format("log10", scales::math_format(10^.x)) ) + theme_bw() a + annotation_logticks() # Default: log ticks on bottom and left