以前在ggplot2中,我使用格式化函数将Y轴中的值乘以100:
formatter100 功能(x){x * 100}使用新的ggplot2(v0.9.1) ,我无法使用新的转换函数转换轴标签:
mult_trans< - function(){ trans_new(mult,function(x)100 * x,function(x)x / 100)}下面是示例图函数
library(scales)
test< -data.frame(ecdf = c(0.02040816,0.04081633,0.06122449,0.08163265,0.10204082,0.14285714,0.14285714,0.16326531,0.24489796,0.24489796,0.24489796,0.24489796,0.26530612 ,0.28571429,0.30612245,0.32653061,0.36734694,0.36734694,0.38775510,0.40816327,0.42857143,0.46938776,0.46938776,0.48979592,0.53061224,0.53061224,0.59183673,0.59183673,0.59183673,0.61224490,0.63265306,0.65306122,0.67346939,0.69387755,0.71428571,0。 73469388,0.75510204,0.77551020,0.79591837,0.81632653,0.83673469,0.85714286,0.87755102,0.89795918,0.91836735,0.93877551,0.95918367,0.97959184,0.99900000),LAT = C(50.7812,66.4062,70.3125,97.6562,101.5620,105.4690,105.4690,109.3750,113.2810 ,113.2810,113.2810,113.2810,125.0000,136.7190,148.4380,164.0620,167.9690,167.9690,171.8750,175.7810,183.5940,187.5000,187.5000,191.4060,195.3120,195.3120,234.3750,234.3750,234.3750,238.2810,261.7190,312.5000,316.4060,324.2190 ,417.9690,507.8120,511.7190,562.5000,664.0620,683.5940,957.0310,1023.4400,1050.7800,1070.3100,1109.3800,1484.3800,1574.2200,1593.7500,1750.0000)) xbreaks <-c(50,100,150,200,300,500 ,1000,2000) ybreaks< -c(1,2,5,10,20,30,40,50,60,70,80,90,95,98,99,99.5,99.9)/ 100 p < - ggplot(test,aes(lat,ecdf)) p <-p + geom_point()+ scale_x_log10 = xbreaks,labels = comma(xbreaks))+ scale_y_continuous(trans ='probit', labels = trans_format(m ),累积概率%, breaks = ybreaks)+ xlab(latency ms)p这将返回以下错误:比例错误$ labels(breaks):找不到函数trans
看起来我误解了如何正确使用转换。
解决方案转换实际上会转换比例本身。在你的 y 轴的情况下,你只是格式化休息。所以你真的不想使用 trans_new ,只是一个常规的格式函数。同样,您想要使用 comma_format 而不是逗号,因为前者实际上会根据需要返回函数:
mult_format< - function(){ function(x)format(100 * x,digits = 2))p <-ggplot(test,aes(lat,ecdf)) p <-p + geom_point()+ scale_x_log10(breaks = xbreaks,labels = comma_format ())+ scale_y_continuous(trans ='probit', labels = mult_format(), breaks = ybreaks)+ xlab(latency ms)p
Previously in ggplot2, I used a formatter function to multiply values in the Y axis by 100:
formatter100 <- function(x){ x*100 }With the new ggplot2 (v0.9.1), I am having trouble converting axis labels with a new transformation function:
mult_trans <- function() { trans_new("mult", function(x) 100*x, function(x) x/100) }Here is the example plot function
library(scales)
test<-data.frame(ecdf=c(0.02040816,0.04081633,0.06122449,0.08163265,0.10204082,0.14285714,0.14285714,0.16326531,0.24489796,0.24489796,0.24489796,0.24489796,0.26530612,0.28571429,0.30612245,0.32653061,0.36734694,0.36734694,0.38775510,0.40816327,0.42857143,0.46938776,0.46938776,0.48979592,0.53061224,0.53061224,0.59183673,0.59183673,0.59183673,0.61224490,0.63265306,0.65306122,0.67346939,0.69387755,0.71428571,0.73469388,0.75510204,0.77551020,0.79591837,0.81632653,0.83673469,0.85714286,0.87755102,0.89795918,0.91836735,0.93877551,0.95918367,0.97959184,0.99900000),lat=c(50.7812,66.4062,70.3125,97.6562,101.5620,105.4690,105.4690,109.3750,113.2810,113.2810,113.2810,113.2810,125.0000,136.7190,148.4380,164.0620,167.9690,167.9690,171.8750,175.7810,183.5940,187.5000,187.5000,191.4060,195.3120,195.3120,234.3750,234.3750,234.3750,238.2810,261.7190,312.5000,316.4060,324.2190,417.9690,507.8120,511.7190,562.5000,664.0620,683.5940,957.0310,1023.4400,1050.7800,1070.3100,1109.3800,1484.3800,1574.2200,1593.7500,1750.0000)) xbreaks<-c(50,100,150,200,300,500,1000,2000) ybreaks<-c(1,2,5,10,20,30,40,50,60,70,80,90,95,98,99,99.5,99.9)/100 p <- ggplot( test, aes(lat, ecdf) ) p<-p + geom_point()+ scale_x_log10(breaks=xbreaks, labels = comma(xbreaks))+ scale_y_continuous(trans='probit', labels = trans_format(mult_trans()), "cumulative probability %", breaks=ybreaks)+ xlab("latency ms") pthis returns the error: Error in scale$labels(breaks) : could not find function "trans"
Looks like I've misunderstood how to use transforms properly.
解决方案Transformations actually transform the scale itself. In the case of your y axis, you're just formatting the breaks. So you don't really want to use trans_new, just a regular format function. Similarly, you want to use comma_format rather than comma, as the former actually returns a function as needed:
mult_format <- function() { function(x) format(100*x,digits = 2) } p <- ggplot( test, aes(lat, ecdf) ) p<-p + geom_point()+ scale_x_log10(breaks = xbreaks,labels = comma_format()) + scale_y_continuous(trans='probit', labels = mult_format(), breaks=ybreaks) + xlab("latency ms") p更多推荐
用乘法器ggplot2转换轴标签
发布评论