本文介绍了ggplot2 0.9.1:带有条形图的对数y轴比例的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧! 问题描述 我试图将条形图的y轴转换为对数刻度(即每个刻度之间的对数距离)。 一些虚拟数据:(data_frame(num = c(1,2,3),label = c(a, b,c)) 我试过下面的例子: p scale_y_continuous(trans ='log10', breaks = trans_breaks(log10,function(x)10 ^ x), labels = trans_format(log10,math_format(10 ^ .x))) 这个日志只转换标签,但不转换: p 这根本不绘制任何内容: p 没有任何运气 我h ave也阅读 0.9转换指南,但这似乎并不我也忘了包括一个我试过的例子: $ $ b 编辑: $ b $ p 产生以下警告: 警告消息:在pretty(trans(x),n,...)中:NaNs产生解决方案如果你想做一个log 10 scale的使用 p + scale_y_log10() I am trying to convert the y-axis of a bar-chart to a logarithmic scale (I.e. logarithmic distance between each ticks).Some dummy data:DF <- data.frame(num=c(1,2,3),label=c("a","b","c"))I've tried the following examples:p <- ggplot(data=DF,aes(x=label,y=num)) + geom_bar() + scale_y_continuous(trans = 'log10', breaks=trans_breaks("log10",function(x) 10^x), labels=trans_format("log10",math_format(10^.x)))This only log transforms labels, but not ticks:p <- ggplot(data=DF,aes(x=label,y=num)) + geom_bar() + coord_trans(y="log10")This doesn't plot anything at all:p <- ggplot(data=DF,aes(x=label,y=num),y="log")No luck eitherI have also read the 0.9 transition guide , but that does not seem to work either.EDIT:I forgot to include one example I tried:p <- ggplot(data=DF,aes(x=label,y=num)) + geom_bar() + scale_y_log10()Which produces the following warning:Warning message:In pretty(trans(x), n, ...) : NaNs produced 解决方案 if you want to do a log 10 scale usep + scale_y_log10() 这篇关于ggplot2 0.9.1:带有条形图的对数y轴比例的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!
09-15 22:57