Question

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。我确实有我希望它在代码中查看的例子。

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")

Answer 1

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：

BP + stat_summary(fun.y = sum, geom = "area")
BP + stat_summary(fun.y = sum, geom = "area", position = "stack", aes(fill = Program, group = Program))
BP + stat_summary(fun.y = sum, geom = "area", position = "stack", aes(fill = Indicator, group = Indicator))

ggplot2多个时间序列图

1 个答案: