StudentData <- data.frame(gender = sample( c("male","female"), 100, replace=TRUE),
degree = sample( c("Associates", "Masters", "PhD"), 100, replace=TRUE),
category = sample( c("Audit", "Credit"), 100, replace=TRUE))
在下面的数据集中,我试图创建一个条形图,用于绘制具有Associate's,Master's或PhD的样本百分比,按性别分隔(通过使用facet_grid()完成)。这是我到目前为止所生成的:
StudentData %>% ggplot(., aes(x=degree, group=gender)) +
geom_bar(aes(y=..prop..), stat="count", position=position_dodge()) +
geom_text(aes(label=scales::percent(round(..prop..,2)),
y=..prop..), stat="count", vjust=-.5) +
scale_y_continuous(limits=c(0,1),labels = scales::percent) +
ylab("Percent of Sample") +
facet_grid(~gender)
但是,我还希望在每个图表上显示“审核”和“信用”组之间的差异,并按条形显示。然而,当我在ggplot的美学中添加“fill = category”时,没有任何变化:
StudentData %>% ggplot(., aes(x=degree, group=gender, fill=category)) +
geom_bar(aes(y=..prop..), stat="count", position=position_dodge()) +
geom_text(aes(label=scales::percent(round(..prop..,2)),
y=..prop..), stat="count", vjust=-.5) +
scale_y_continuous(limits=c(0,1),labels = scales::percent) +
ylab("Percent of Sample") +
facet_grid(~gender)
我意识到通常这是使用geom_bar(stat="identity", position=position_dodge())
完成的,但是当我更改stat="identity"
时,会出现以下错误消息:
Error in FUN(X[[i]], ...) : object 'prop' not found
任何想法如何有一个facet图,使用特殊字符,如.. prop ..并添加另一个填充到ggplot2图?
您可以像这样创建必要的四个group
s(而不是两个):
StudentData %>%
ggplot(., aes(x=degree, group=interaction(gender, category), fill=category)) +
geom_bar(aes(y=..prop..), stat="count", position=position_dodge()) +
geom_text(aes(label=scales::percent(round(..prop..,2)),
y=..prop..), stat="count", vjust=-.5, position=position_dodge(.9)) +
scale_y_continuous(limits=c(0,1),labels = scales::percent) +
ylab("Percent of Sample") +
facet_grid(~gender)