用ggplot2绘制差异

Question

我有一个R数据框（称为frequency ），如下所示：

word    author  proportion
a   Radicals    1.679437e-04
aa  Radicals    2.099297e-04
aaa Radicals    2.099297e-05
abbe    Radicals    NA
aboow   Radicals    NA
about   Radicals    NA
abraos  Radicals    NA
ytterst Conservatives   5.581042e-06
yttersta    Conservatives   5.581042e-06
yttra   Conservatives   2.232417e-05
yttrandefrihet  Conservatives   5.581042e-06
yttrar  Conservatives   2.232417e-05

我想使用ggplot2绘制文档差异。 像这样

我有下面的代码，但是我的情节最终是空的。

library(scales)
ggplot(frequency, aes(x = proportion, y = `Radicals`, color = abs(`Radicals` - proportion))) +
    geom_abline(color = "gray40", lty = 2) +
    geom_jitter(alpha = 0.1, size = 2.5, width = 0.3, height = 0.3) +
    geom_text(aes(label = word), check_overlap = TRUE, vjust = 1.5) +
  scale_x_log10(labels = percent_format()) +
  scale_y_log10(labels = percent_format()) +
  scale_color_gradient(limits = c(0, 0.001), low = "darkslategray4", high = "gray75") +
  facet_wrap(~author, ncol = 2) +
  theme(legend.position="none") +
  labs(y = "Radicals", x = NULL)

Answer 1

由于没有“ Radicals”列，您的图最终为空。 如果您尝试将范围缩小到仅自由基，然后绘图，则应执行以下操作

 radical_frequecy <- subset(frequency, author == 'Radicals')

那你就可以

 library(scales)
 ggplot(radical_frequency, aes(x = proportion, y = author, color = abs(`Radicals` - proportion))) +
geom_abline(color = "gray40", lty = 2) +
geom_jitter(alpha = 0.1, size = 2.5, width = 0.3, height = 0.3) +
geom_text(aes(label = word), check_overlap = TRUE, vjust = 1.5) +
   scale_x_log10(labels = percent_format()) +
   scale_y_log10(labels = percent_format()) +
   scale_color_gradient(limits = c(0, 0.001), low = "darkslategray4", high = "gray75") +
   theme(legend.position="none") +
   labs(y = "Radicals", x = NULL)

（由于您已将范围缩小到Radicals，因此我进行了facet换行。如果您执行y = author和facet_wrap（〜author，ncol = 2）， 则可以将其重新添加回去， 然后执行第一部分代码。

基本上，tl：dr您的错误是由尝试从变量而不是列创建轴引起的

Answer 2

如果您想做的是比较x轴上一个“作者”（例如，保守派）和y轴上一个“作者”（也许是自由基）的频率作图，则需要spread您的数据框（来自tidyr包），以便您可以通过这种方式进行绘制。

library(tidyverse)
library(scales)

frequency %>%
  spread(author, proportion) %>%
  ggplot(aes(Conservatives, Radicals)) +
  geom_abline(color = "gray40", lty = 2) +
  geom_point() + 
  geom_text(aes(label = word), check_overlap = TRUE, vjust = 1.5) +
  scale_x_log10(labels = percent_format()) +
  scale_y_log10(labels = percent_format())