我一直在互联网上搜索我的问题的答案,但到目前为止,我发现所有人都提出同样的问题,但与我有不同的情况.
大多数人在他们的ggplot上有两个或更多的数据集,并添加一个图例来显示哪一个是哪个.但是,我绘制了一条线,但线内有多种颜色.
以下是我的输出图片,以便进一步说明:

我想创建一个图例来指定每种颜色的含义.
这是我的代码:
p04 <- read.csv("p04_datalog.csv",header=TRUE)
#The following line activates the ggplot2 add-on
library(ggplot2)
#This line will eliminate all -1 values for GS_ReelRaiseLowerAngle
p04_NoNegative <- subset(p04, p04$GS_ReelRaiseLowerAngle != -1)
#This creates an array of colors that are to be used with the plotting scripts
fieldcolors <- ifelse(p04_NoNegative$GS_Field == "Out of Bounds","black",ifelse(p04_NoNegative$GS_Field ==
"Clumping","Orange",ifelse(p04_NoNegative$GS_Field == "Down","purple",ifelse(p04_NoNegative$GS_Field ==
"High Moisture","darkblue",ifelse(p04_NoNegative$GS_Field == "High Thin","pink",ifelse(p04_NoNegative$GS_Field ==
"High Weeds","green",ifelse(p04_NoNegative$GS_Field == "Low Moisture","cyan",ifelse(p04_NoNegative$GS_Field ==
"Low Thin","white",ifelse(p04_NoNegative$GS_Field == "Low Weeds","green4",ifelse(p04_NoNegative$GS_Field ==
"Medium Thin","red",ifelse(p04_NoNegative$GS_Field == "Medium Weeds","yellowgreen",ifelse(p04_NoNegative$GS_Field ==
"Short Hieght","tan2",ifelse(p04_NoNegative$GS_Field == "Tall Hieght","tan","brown")))))))))))))
x_axis <- seq(0,6000,10)
x_axis_ef <- seq(0,6000,500)
#The following lines generate a line plot of reel height for the entire field with colors
ggplot(p04_NoNegative, aes(x=Distance.Traveled, y=GS_ReelRaiseLowerAngle)) +
geom_line(color=fieldcolors,size=1.1) + ggtitle("p04 entire field") + ylim(0,0.6) +
ylab("Reel Height (angle)")+ xlab("Distance (m)") +
scale_x_continuous(breaks = x_axis_ef) + coord_cartesian(xlim = c(0,5000))
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我对R和ggplot(我3天前刚开始)相当新,所以我的代码可能不是最有效的方法,但它完成了工作.
我需要添加一个图例,以便阅读图形的人可以知道每种颜色代表什么.恩.鲜绿色代表"高杂草".
抛弃你的整个长ifelse怪,只需将ggplot调用修改为:
ggplot(p04_NoNegative, aes(x=Distance.Traveled, y=GS_ReelRaiseLowerAngle)) +
geom_line(aes(color=GS_Field),size=1.1) +
ggtitle("p04 entire field") + ylim(0,0.6) +
ylab("Reel Height (angle)")+ xlab("Distance (m)") +
scale_x_continuous(breaks = x_axis_ef) +
coord_cartesian(xlim = c(0,5000))
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您可以通过设置颜色scale_color_manual(假设GS_Field是一个因素,我想).
这里的想法是,当你在内部绘制美学时,ggplot会自动尝试生成一个图例aes().否则你就是在设定美学.