ggplot2和purrr:使用split()循环并引用索引值 [英] ggplot2 and purrr: loop with split() and refer to index value

问题描述

我正在尝试使用ggplot2和purrr :: map()结合split()循环许多图.我可以使绘图工作正常，但是在提取分割值以用作标题时遇到了麻烦.

I'm trying to loop many plots using ggplot2 and purrr::map() combined with split(). I can get the plots working fine, but I'm having trouble extracting the split value to use as a title.

令牌数据:

y=tibble(SplitVar=rep(c('A','B','C'),3),
         Variable=c(rep('A',3),rep('B',3),rep('C',3)),
         Value=runif(n=9))

我想要的地块由生成:

y%>%split(y$SplitVar)%>%map(~ggplot(.,aes(Variable,Value,fill=Variable))+
                             geom_col(position='dodge'))

但是我不知道如何获取将SplitVar值'A'，'B'，'C'提取来用作:

but I can't figure out how to get the SplitVar values 'A','B','C' extracted to be used as:

...+labs(title=...)

我可以直接提取值:

y%>%split(y$SplitVar)%>%names(.)
[1] "A" "B" "C"

但是当我尝试将其添加到绘图中时，

but when I try to add this to the plots,

y%>%split(y$SplitVar)%>%map(~ggplot(.,aes(Variable,Value,fill=Variable))+
                            geom_col(position='dodge')+
                            labs(title=names(.)))

我得到:加上变量的名称，而不是 values .

I get: with the name of the variable, rather than the values.

我的A数据值实际上是为第二个拆分值嵌套的.现在，我可以获取所需的标签，但是无法获取映射函数以进入嵌套循环以获取第一个值并生成图，然后退出以获取其他因素.修改后的输入如下:

My data values for A are actually nested for a second split value. I can now get the labels I need, but I can't get a map function to step into the nested loop for the first value and generate plots, then step back out for the other factors. A revised input is below:

y=tibble(Split1=c(rep('A',9),rep('B',3),rep('C',3)),
   Split2=c(rep(c('A','B','C'),3),rep('D',3),rep('E',3)),
   Var=c(rep('A',3),rep('B',3),rep('C',3),rep(c('A','B','C'),2)),
   Value=runif(15)
   )

我可以使用以下方法将小标题拆分为适当的嵌套列表:

I can split the tibble into the appropriate nested list with:

y%>%split(y$Split1)%>%map(~if(.$Split1=='A') split(.,.$Split2,drop=TRUE) else .)

但是我能想到的最好的办法是分别定义两个过程:

But the best I can come up with is separately defining two procedures:

y[[1]]%>%map(~ggplot(.,aes(Variable,Value,fill=Variable))+
             geom_col(position='dodge')+
             labs(title=unique(.x$Split2)))

y2=y%>%filter(Split1!='A')
y2%>%split(y2$Split1,drop=TRUE)%>%map(~ggplot...)

推荐答案

这对我有用:

y %>%
   split(y$SplitVar) %>%
    map(~ggplot(.,aes(Variable,Value,fill=Variable))+
                        geom_col(position='dodge')+
                        labs(title=unique(.x$SplitVar)))

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