从默认值更改ggplot2 :: facet_wrap标题

时间:2018-02-19 05:45:54

标签: r ggplot2 data-visualization

是否有任何可能的方法来更改facet_wrap变量的标签,如下所示。因此,举例来说,我想要cyl: 4cyl: 6cyl: 8,而不是condition: 4condition: 6condition: 8。当然,我可以通过重命名变量来做到这一点,但这不是我想要的。这是一个更简单的自定义函数版本,我无论如何都不能重命名变量。

另一种说法是,我是否有自由标记facet_wrap无论如何我喜欢?有点像x ggplot2中的审美变量在数据框(cyl)中可能有一些名称(例如mtcars),但我仍然可以使用我自己的名字替换它labs(x = "cylinder"))。我希望facet_wrap有类似的东西。

library(dplyr)
library(datasets)
library(ggplot2)
data(mtcars)

# creating a dataframe
df <- dplyr::group_by(mtcars, .dots = c('cyl', 'am')) %>%
  dplyr::summarize(counts = n()) %>%
  dplyr::mutate(perc = (counts / sum(counts)) * 100) %>%
  dplyr::arrange(desc(perc))

# preparing the plot
ggplot2::ggplot(df, aes('', counts)) +
  geom_col(
    position = 'fill',
    color = 'black',
    width = 1,
    aes(fill = factor(am))
  ) +
  facet_wrap(~cyl, labeller = "label_both") + # faceting by `cyl` variable
  geom_label(
    aes(label = paste0(round(perc), "%"), group = factor(am)),
    position = position_fill(vjust = 0.5),
    color = 'black',
    size = 5,
    show.legend = FALSE
  ) +
  coord_polar(theta = "y")

reprex package(v0.2.0)创建于2018-02-19。

2 个答案:

答案 0 :(得分:4)

要更改构面标签,您可以为labeller中的facet_wrap参数提供指定的标签向量:

labeller = labeller(cyl = 
    c("4" = "condition: 4",
      "6" = "condition: 6",
      "8" = "condition: 8"))

这是完整的情节代码:

ggplot2::ggplot(df, aes('', counts)) +
  geom_col(
    position = 'fill',
    color = 'black',
    width = 1,
    aes(fill = factor(am))
  ) +
  facet_wrap(~cyl, labeller = labeller(cyl = 
    c("4" = "condition: 4",
      "6" = "condition: 6",
      "8" = "condition: 8")
  )) 
  geom_label(
    aes(label = paste0(round(perc), "%"), group = factor(am)),
    position = position_fill(vjust = 0.5),
    color = 'black',
    size = 5,
    show.legend = FALSE
  ) +
  coord_polar(theta = "y")

enter image description here

根据请求返回标签的函数的注释进行编辑:

也许是这样的:

label_facet <- function(original_var, custom_name){
  lev <- levels(as.factor(original_var))
  lab <- paste0(custom_name, ": ", lev)
  names(lab) <- lev
  return(lab)  
}


ggplot2::ggplot(df, aes('', counts)) +
  geom_col(
    position = 'fill',
    color = 'black',
    width = 1,
    aes(fill = factor(am))
  ) +
  facet_wrap(~cyl, labeller = labeller(cyl = label_facet(df$cyl, "grouping"))) +
geom_label(
  aes(label = paste0(round(perc), "%"), group = factor(am)),
  position = position_fill(vjust = 0.5),
  color = 'black',
  size = 5,
  show.legend = FALSE
) +
  coord_polar(theta = "y")

enter image description here

sessionInfo()

R version 3.4.2 (2017-09-28)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] bindrcpp_0.2  ggplot2_2.2.1 dplyr_0.7.4   RMOA_1.0      rJava_0.9-9   RMOAjars_1.0 

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.14      bindr_0.1         magrittr_1.5      munsell_0.4.3     colorspace_1.3-2  R6_2.2.2          rlang_0.1.4      
 [8] plyr_1.8.4        tools_3.4.2       grid_3.4.2        gtable_0.2.0      yaml_2.1.14       lazyeval_0.2.1    assertthat_0.2.0 
[15] digest_0.6.13     tibble_1.4.1      glue_1.2.0        labeling_0.3      compiler_3.4.2    pillar_1.0.1      scales_0.5.0.9000
[22] pkgconfig_2.0.1  

答案 1 :(得分:1)

你可以这样做:

  ggplot2::ggplot(df, aes('', counts)) +
  geom_col(
    position = 'fill',
    color = 'black',
    width = 1,
    aes(fill = factor(am))
  ) +
  facet_wrap(~cyl, labeller = as_labeller(c(`4` = "Condition: 4", `6` = "Condition: 6", `8` = "Condition: 8"))) + # faceting by `cyl` variable
  geom_label(
    aes(label = paste0(round(perc), "%"), group = factor(am)),
    position = position_fill(vjust = 0.5),
    color = 'black',
    size = 5,
    show.legend = FALSE
  ) +
  coord_polar(theta = "y")