R ggplot2使用2条线和正确的图例绘制单个数据
在Axeman的帮助下,我已经能够用平均值/中值线绘制一个基准。为了完成注释,我想将平均值/中值放入图例标签中。我的代码:R ggplot2使用2条线和正确的图例绘制单个数据,r,plot,ggplot2,legend,R,Plot,Ggplot2,Legend,在Axeman的帮助下,我已经能够用平均值/中值线绘制一个基准。为了完成注释,我想将平均值/中值放入图例标签中。我的代码: require(data.table) require(ggplot2) wf <- data.table::fread('Date Gals Days GpD GpM 2016-10-21 6.0 1 6.0 186.0 2016-10-22 6.0 1
require(data.table)
require(ggplot2)
wf <- data.table::fread('Date Gals Days GpD GpM
2016-10-21 6.0 1 6.0 186.0
2016-10-22 6.0 1 6.0 186.0
2016-10-23 12.4 1 12.4 384.4
2016-10-24 26.8 1 26.8 830.8
2016-10-25 33.3 1 33.3 1032.3
2016-10-26 28.3 1 28.3 877.3')
nmu <- mean(wf$Gals)
textmu <- paste("Mean:", round(nmu, 2))
nmed <- median(wf$Gals)
textmed <- paste("Median:", round(nmed, 2))
p <- ggplot(wf, aes(Date, Gals)) +
geom_line(aes(lty = "Gals", color = "Gals", group = 1)) +
geom_hline(aes(yintercept = nmu, linetype = textmu, color = textmu),
color='red',size=1)+
geom_hline(aes(yintercept = nmed, linetype = textmed, color = textmed),
color='orange',size=1)+
#scale_linetype('Water Usage') +
scale_color_manual('Water Usage',
values=c('Gals'='black',textmu='red', textmed='orange')) +
xlab("") +
ylab("Gallons per Day")
print(p)
require(data.table)
需要(ggplot2)
wf通过熔化数据。表格
您可以:
require(data.table)
require(ggplot2)
wf <- data.table::fread('Date Gals Days GpD GpM
2016-10-21 6.0 1 6.0 186.0
2016-10-22 6.0 1 6.0 186.0
2016-10-23 12.4 1 12.4 384.4
2016-10-24 26.8 1 26.8 830.8
2016-10-25 33.3 1 33.3 1032.3
2016-10-26 28.3 1 28.3 877.3')
wf[,`:=`(Mean=round(mean(Gals),2),Median=round(median(Gals),2))]
p <- ggplot(melt(wf,id.vars = c(1,3))
[variable%in%c("Gals","Mean","Median")], aes(Date,
value,color=variable,group=variable)) +
geom_line() +
scale_color_manual('Water Usage',values=c('Gals'='black',Mean='red',
Median='orange')) +
xlab("") +
ylab("Gallons per Day")
print(p)
require(data.table)
需要(ggplot2)
wf准备一个标签向量,然后使用我在我的:
标签根据问题,这不会将平均值和中值放在图例标签中。结果不错。这正是我想要做的,保持data.frame尽可能简单,并学习更多ggplot2知识。感谢Axeman和社区!
labels <- c(Gals = 'Gals',
Mean = paste("Mean:", round(mean(wf$Gals), 2)),
Median = paste("Median:", round(median(wf$Gals), 2)))
ggplot(wf, aes(Date, Gals)) +
geom_line(aes(lty = "Gals", color = "Gals", group = 1)) +
geom_hline(aes(yintercept = mean(wf$Gals), linetype = "Mean", color = "Mean"), size=1) +
geom_hline(aes(yintercept = median(wf$Gals), linetype = "Median", color = "Median"), size = 1) +
scale_linetype('Water Usage', labels = labels) +
scale_color_manual(
'Water Usage',
values = c('Gals' = 'black', 'Mean' = 'red', 'Median' = 'orange'),
labels = labels
) +
xlab("") + ylab("Gallons per Day")