使用facet_wrap和两个变量在R中订购条形图

Question

我的意图是使用ggplot2和facet_wrap绘制2张图表“长期”和“非常长期”失业。 我希望订单通过indic ==“LTU”（facet_wrap的顶部）升序，所以在顶部图表中“LU”和“MT”不在右侧。 但我没有管理ggplot正确订购酒吧。 有什么建议？

可重复的例子：

library(tidyverse)
library(eurostat)

#Long-term unemployment by sex - quarterly average 
une_ltu_q <- get_eurostat("une_ltu_q", stringsAsFactors=FALSE)


df <- une_ltu_q %>% filter(age=="Y15-74",
                          geo %in% c("EU28", "BE","BG","CZ","DK","DE","EE","IE","EL","ES","FR","HR","IT","CY","LV","LT","LU","HU","MT","NL","AT","PL","PT","RO","SI","SK","FI","SE","UK"),
                          sex=="T",
                          s_adj=="SA",
                          time==max(une_ltu_q$time), 
                          unit=="PC_ACT")%>% 
        group_by(indic_em)%>% arrange()



ggplot(data=df, aes(x=reorder(geo, values), y=values))+
        geom_bar(stat = "identity", 
                 position = "dodge", 
                 show.legend = FALSE,
                 fill="steelblue")+
        geom_text(aes(label=values), vjust=-0.5, size=3.5)+
        facet_wrap(~indic_em, ncol=1, scales = "free")

Answer 1

reorder有一个FUN ction参数，您可以使用它来更改排序。 默认情况下，您的示例按两个值的mean排序。 但你也可以只取第一个值：

ggplot(data=df, aes(x=reorder(geo, values, "[", 1), y=values))+
  geom_bar(stat = "identity", 
           position = "dodge", 
           show.legend = FALSE,
           fill="steelblue")+
  geom_text(aes(label=values), vjust=-0.5, size=3.5)+
  facet_wrap(~indic_em, ncol=1, scales = "free")

或者sum ：

ggplot(data=df, aes(x=reorder(geo, values, sum, na.rm=T), y=values))+
  geom_bar(stat = "identity", 
           position = "dodge", 
           show.legend = FALSE,
           fill="steelblue")+
  geom_text(aes(label=values), vjust=-0.5, size=3.5)+
  facet_wrap(~indic_em, ncol=1, scales = "free")

Answer 2

使用以下代码： https ： //github.com/dgrtwo/drlib/blob/master/R/reorder_within.R

我们可以使用这些函数在组内重新排序，这样每个方面都会有升序条。 下面是集成这些功能的修改后的ggplot代码。

reorder_within <- function(x, by, within, fun = mean, sep = "___", ...) {
  new_x <- paste(x, within, sep = sep)
  stats::reorder(new_x, by, FUN = fun)
}

scale_x_reordered <- function(..., sep = "___") {
  reg <- paste0(sep, ".+$")
  ggplot2::scale_x_discrete(labels = function(x) gsub(reg, "", x), ...)
}


ggplot(data=df, aes(x=reorder_within(geo, values, indic_em), y=values))+
geom_col(stat = "identity", 
position = "dodge", 
show.legend = FALSE,
fill="steelblue")+
geom_text(aes(label=values), vjust=-0.5, size=3.5)+
scale_x_reordered()+
facet_wrap(~indic_em, ncol=1, scales = "free")