我只是在学习ggplot,所以我很抱歉这是一个非常基本的问题 . 我有一些年份聚合的数据,有一些不同的质量要切片(下面的代码将生成样本数据) . 我试图展示一些不同的图表:一个显示给定指标的整体图表,然后是一对显示相同指标的图表,但它不正确 . 理想情况下,我想制作一次图,然后为每个单独的图表调用geom图层 . 我有一些例子,我希望它也能在代码中查看 .
我开始认为这是一个数据结构问题,但实在无法理解 .
次要问题 - 我的年份被格式化为整数,这是最好的方法,或者我应该将它们转换为日期?
library(data.table)
library(ggplot2)
#Generate Sample Data - Yearly summarized data
BaseData <- data.table(expand.grid(dataYear = rep(2010:2017),
Program = c("A","B","C"),
Indicator = c("0","1")))
set.seed(123)
BaseData$Metric1 <- runif(nrow(BaseData),min = 10000,100000)
BaseData$Metric2 <- runif(nrow(BaseData),min = 10000,100000)
BaseData$Metric3 <- runif(nrow(BaseData),min = 10000,100000)
BP <- ggplot(BaseData, aes(dataYear,Metric1))
BP + geom_area() #overall Aggregate
BP + geom_area(position = "stack", aes(fill = Program)) #Stacked by Program
BP + geom_area(position = "stack", aes(fill = Indicator)) #stacked by Indicator
#How I want them to look
##overall Aggregate
BP.Agg <- BaseData[,.(Metric1 = sum(Metric1)),
by = dataYear]
ggplot(BP.Agg,aes(dataYear, Metric1))+geom_area()
##Stacked by Program
BP.Pro <- BaseData[,.(Metric1 = sum(Metric1)),
by = .(dataYear,
Program)]
ggplot(BP.Pro,aes(dataYear, Metric1, fill = Program))+geom_area(position = "stack")
##stacked by Indicator
BP.Ind <- BaseData[,.(Metric1 = sum(Metric1)),
by = .(dataYear,
Indicator)]
ggplot(BP.Ind,aes(dataYear, Metric1, fill = Indicator))+geom_area(position = "stack")
1 回答
我是对的,这很容易解决 . 我应该使用stat_summary而不是geom_area,这里是要添加的正确图层: