我已生成以下图表:
http://i47.tinypic.com/s3dd0m.png
我有相当数量的长数据(可在此处下载:http://www.sendspace.com/file/lfd31r),数据如下:
head(data)
-10:130 variable value
1 -10 Utilities 0.001680609
2 -9 Utilities 0.004652453
3 -8 Utilities -0.002441692
4 -7 Utilities -0.018639594
5 -6 Utilities -0.007587632
6 -5 Utilities 0.004526066
我用来生成此图形的代码:
ggplot(data=data,
aes(x=-10:130, y=value, colour=variable)) +
geom_line()
我想要的东西如下图所示:
随着图例消失,但类别的首字母缩写显示在每行的末尾,与行本身颜色相同。这是必要的,因为有太多的线条和颜色供读者理解是什么。一旦你的天才帮助我弄清楚如何解决这个问题,我将制作一个4面板图(使用facet_grid),每个图有10行。
谢谢:)
答案 0 :(得分:4)
要删除图例,您可以使用
+ opts(legend.position = 'none')
要将图案添加到地图中,您可以使用
+ annotate("text",x=XPOSITION,y=YPOSITION,label="TEXTFORPLOT",size=3.5)
解决问题的快速肮脏尝试
library(ggplot2)
## Read in the data from your link. You will have to change this.
dat <- read.csv("~/Downloads/demo.csv")
head(dat)
## Get the y values - turns out they are all 130
label_summary <- aggregate(dat[,2], list(dat$variable), max)
## A quick method to reduce the names, by grabbing the first 3 characters
label_names <- substr(label_summary[,1],1,3)
## get the x values of each variable
label_x <- label_summary[,2]
# A method to get the last y value of each variable
label_y <- sapply(1:length(label_x), function(i) dat[with(dat, dat[, 2]==label_x[i]&dat[, 3]==label_summary[i,1]),"value"])
# Make the plot without legend and text
p <- ggplot(data=dat,aes(x=-10:130, y=value, colour=variable)) + geom_line() + opts(legend.position = 'none')
p
# Use an sapply function to add the labels one by one to the. This is needed because the label option within the annotate function only allow one label.
p + sapply(1:length(label_x), function(i) annotate("text",x=label_x[i]+10,y=label_y[i],label=label_names[i],size=3.5))