嗨有这个数据集:
tdat=structure(list(Condition = structure(c(1L, 3L, 2L, 1L, 3L, 2L,
1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L,
3L, 2L, 1L, 3L, 2L), .Label = c("AS", "Dup", "MCH"), class = "factor"),
variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L), .Label = c("Bot", "Top", "All"), class = "factor"),
value = c(1.782726022, 1, 2.267946449, 1.095240234, 1, 1.103630141,
1.392545278, 1, 0.854984833, 4.5163067, 1, 4.649271897, 0.769428018,
1, 0.483117123, 0.363854608, 1, 0.195799358, 0.673186975,
1, 1.661568993, 1.174998373, 1, 1.095026419, 1.278455823,
1, 0.634152231)), .Names = c("Condition", "variable", "value"
), row.names = c(NA, -27L), class = "data.frame")
> head(tdat)
Condition variable value
1 AS Bot 1.782726
2 MCH Bot 1.000000
3 Dup Bot 2.267946
4 AS Bot 1.095240
5 MCH Bot 1.000000
6 Dup Bot 1.103630
Run Code Online (Sandbox Code Playgroud)
您可以使用此代码绘制它:
ggplot(tdat, aes(x=interaction(Condition,variable,drop=TRUE,sep='-'), y=value,
fill=Condition)) +
geom_point() +
scale_color_discrete(name='interaction levels')+
stat_summary(fun.y='mean', geom='bar',
aes(label=signif(..y..,4),x=as.integer(interaction(Condition,variable))))+
facet_grid(.~variable)
Run Code Online (Sandbox Code Playgroud)

但正如您所看到的那样,它不会从每个方面删除未使用的列,您知道为什么吗?
您可以在绘图中显示所有级别,因为使用了所有级别.如果根本不使用它们,则会丢弃级别.为了消除各方面的水平添加scale="free_x"到facet_grid().但是这在特定情况下不起作用,因为您x在ggplot()和stat_summary()调用中使用不同的值语句.我建议在绘制交互之前添加新列.
tdat$int<-with(tdat,interaction(Condition,variable,drop=TRUE,sep='-'))
ggplot(tdat,aes(int,value,fill=Condition))+
stat_summary(fun.y='mean', geom='bar')+
geom_point()+
facet_grid(.~variable,scales="free_x")
Run Code Online (Sandbox Code Playgroud)

在这种情况下,您可以简化代码,interaction()因为您也可以使用facet_grid().
ggplot(tdat,aes(Condition,value,fill=Condition))+
stat_summary(fun.y='mean', geom='bar')+
geom_point()+
facet_grid(.~variable)
Run Code Online (Sandbox Code Playgroud)
