发现了一个奇怪的边缘情况。
比方说,您想要一个带有标记段的堆积条形图(不考虑这种图是否是最佳数据)
library(ggplot2)
set.seed(123)
dat <- data.frame(x = rep(1:5, each=3),
y = round(runif(5*3, 5, 10)),
category = letters[1:3])
# this looks normal: labels on correct segments
ggplot(dat,
aes(x, y, fill=category, label=paste0(category, ': ', y))) +
geom_col() +
geom_text(position = position_stack(vjust=.5))
现在让我们仅对一些标签重新着色:
# this is weird now
ggplot(dat,
aes(x, y, fill=category, label=paste0(category, ': ', y))) +
geom_col() +
geom_text(aes(color = category == 'a'),
position = position_stack(vjust=.5)) +
scale_color_manual(values = c("black", 'white'))
堆栈顺序已更改,这是出乎意料的,我不确定该如何解决。
> sessionInfo()
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.4
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.0.0.9000
loaded via a namespace (and not attached):
[1] Rcpp_0.12.16 digest_0.6.15 withr_2.1.2 dplyr_0.7.4 assertthat_0.2.0 grid_3.5.0 plyr_1.8.4 R6_2.2.2
[9] gtable_0.2.0 magrittr_1.5 scales_0.5.0 pillar_1.2.2 rlang_0.2.1 lazyeval_0.2.1 bindrcpp_0.2.2 labeling_0.3
[17] tools_3.5.0 glue_1.2.0 munsell_0.4.3 yaml_2.1.19 compiler_3.5.0 pkgconfig_2.0.1 colorspace_1.3-2 bindr_0.1.1
[25] tibble_1.4.2
答案 0 :(得分:2)
嗯,这是一个答案+解决方法。发生这种情况是因为aes(color = ...)
调用是在geom_text
级别而不是在初始ggplot调用中进行的。
统一为一个aes
调用将导致geom_col和geom_text遵循相同的顺序,但是需要一点技巧才能使颜色美观仅显示在文本层上:
ggplot(dat,
aes(x, y, fill=category, label=paste0(category, ': ', y),
color = category == 'a')) +
# if you call geom_col just like this, you'll get colored borders
# geom_col() +
# so you have to blank out the color aesthetic for this geom
geom_col(color=NA) +
geom_text(position = position_stack(vjust=.5)) +
scale_color_manual(values = c("black", 'white'))