汇总统计对ggplot上方条形图酒吧注释 [英] Annotation of summary statistic on ggplot above bars on barchart

问题描述

我创建一个函数，数据帧，x和y的变量和一组变量作为参数它由组变量x变量和小面的水平输出一个条形图。我想地方重新presents y的平均栏上方的文本标签。我的工作的功能，直到我
我的功能如下：

I created a function that takes dataframe, x and y variables and a group variable as arguments it outputs a barchart by levels of the x variable and facet by the group variable. I want to place a text label above the bar that represents the average of y. My function worked until I My function is as follows:

   XTABAR<- function(DS,xcat,yvar,group,formet=percent,color1=orange,color2=blue,...){ 

  library(ggplot2)
  library(dplyr)
  library(scales)
  localenv<-environment()
  gg<-data.frame(DS,x=DS[,xcat],y=DS[,yvar],z=DS[,group] )
  gg = transform(summarise(group_by(gg, x), sumvar= mean(y)))
G<-ggplot(gg,aes(x=factor(x),y=y, fill=factor(x)))+stat_summary(fun.y=mean,geom="bar")+facet_wrap(~z)+scale_y_continuous(labels = formet)+xlab(xcat)+ylab(yvar)+scale_fill_manual(values=c(color1,color2))
#H<-G+geom_text(data=gg,aes(label=sumvar,x=factor(x),y=y), position = position_dodge(width = 0.8), vjust=-.6)

H<-G+stat_summary(fun.y = mean, geom="text", aes(label=sumvars), vjust = 0) 
#G+scale_fill_manual(values=c("orange","blue"))+ylab("Boo")+xlab("Foo")+scale_y_continuous(labels = met)
print(H)

}

# The arguments are dataframe (DS); x variable (xcat) y variable (yvar); grouping variable (group) y scale format (formet); and colors for bars

我得到的错误是：

The error I get is the following:

Error in layout_base(data, vars, drop = drop) : 
  At least one layer must contain all variables used for facetting

因此​​，谁能帮助我的code或理解，这样我可以学习如何获取栏上总结统计逻辑？
谢谢

So can anyone help me with the code or understand the logic so that I can learn how to get summary stats above the bar? Thank you

推荐答案

只有一个数据集的一个例子：

An example with just one dataset:

# create a dataset
set.seed(123)
df <- data.frame(xcol=sample(1:3, 100, replace=TRUE), ycol = rnorm(100, 5, 2), catg=letters[1:5])

# summarising the data
require(plyr)
df2 <- ddply(df, .(xcol, catg), summarise, ave=mean(ycol))

# creating a plot
ggplot(df2, aes(x=factor(xcol),y=ave, fill=factor(xcol))) +
  geom_bar(stat="identity") +
  geom_text(aes(label=round(ave,2)), vjust = -0.5) +
  scale_y_continuous(limits=c(0,7), expand = c(0, 0)) +
  guides(fill=FALSE) +
  facet_wrap(~catg) +
  theme_bw()

这会导致：

which results in:

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