r - ggplot2 饼图与 geom_text_repel

Question

我正在使用 ggplot2 绘制多个饼图，并成功地将标签绘制在正确的位置，如下所示：

df <- data.frame(annotation=rep(c("promoter", "intergenic", "intragene", "5prime", "3prime"), 3), value=c(69.5, 16, 10.7, 2.5, 1.3, 57.2, 18.8, 20.2, 2.1, 1.7, 50.2, 32.2, 15.3, 1.2, 1.1), treatment=rep(c("treated1", "treated2", "untreated"), c(5, 5, 5)))

library(ggplot2)

ggplot(data = df, aes(x = "", y = value, fill = annotation)) + 
geom_bar(stat = "identity") +
geom_text(aes(label = value), position = position_stack(vjust = 0.5)) +
coord_polar(theta = "y") +
facet_grid(.~treatment)

然后我想利用 ggrepel 使小切片数字不重叠：

library(ggrepel)

ggplot(data = df, aes(x = "", y = value, fill = annotation)) + 
geom_bar(stat = "identity") +
geom_text_repel(aes(label = value), position = position_stack(vjust = 0.5)) +  
coord_polar(theta = "y") +
facet_grid(.~treatment)

但我收到以下警告“警告：忽略未知参数：位置”

并弄乱了标签。

任何人都知道如何将标签的正确位置与 geom_text_repel 或任何替代方法结合起来？

谢谢！

sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: Scientific Linux 7.2 (Nitrogen)

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
 [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
[1] ggrepel_0.6.5 ggplot2_2.2.1 limma_3.26.9 

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.8      digest_0.6.12    grid_3.3.2       plyr_1.8.4      
 [5] gtable_0.2.0     magrittr_1.5     scales_0.4.1     stringi_1.1.5   
 [9] reshape2_1.4.2   lazyeval_0.2.0   labeling_0.3     tools_3.3.2     
 [13] stringr_1.2.0    munsell_0.4.3    colorspace_1.3-2 tibble_1.3.0    

Answer 1

首先，您需要在之前的标签位置创建一个正确的列coord_polar()。我会用'dplyr'来做，但你可以使用任何你喜欢的东西：

library('dplyr')

df <- df %>% 
  arrange(treatment, desc(annotation)) %>% 
  group_by(treatment) %>% 
  mutate(text_y = cumsum(value) - value/2)

df

# A tibble: 15 x 4
# Groups:   treatment [3]
   annotation value treatment text_y
        <chr> <dbl>     <chr>  <dbl>
 1   promoter  69.5  treated1  34.75
 2  intragene  10.7  treated1  74.85
 3 intergenic  16.0  treated1  88.20
 4     5prime   2.5  treated1  97.45
 5     3prime   1.3  treated1  99.35
 6   promoter  57.2  treated2  28.60
 7  intragene  20.2  treated2  67.30
 8 intergenic  18.8  treated2  86.80
 9     5prime   2.1  treated2  97.25
10     3prime   1.7  treated2  99.15
11   promoter  50.2 untreated  25.10
12  intragene  15.3 untreated  57.85
13 intergenic  32.2 untreated  81.60
14     5prime   1.2 untreated  98.30
15     3prime   1.1 untreated  99.45

现在，当我们将文本和标签text_y用作.ygeom_text()

之前的情节coord_polar()：

ggplot(data = df, aes(x = "", y = value, fill = annotation)) + 
  geom_bar(stat = "identity") +
  geom_label(aes(label = value, y = text_y)) +
  facet_grid(.~treatment)

现在添加label_repel和转换坐标：

ggplot(data = df, aes(x = "", y = value, fill = annotation)) +
  geom_bar(stat = "identity") +
  geom_label_repel(aes(label = value, y = text_y)) +
  facet_grid(. ~ treatment) +
  coord_polar(theta = "y")