使用group_by分组后，是否可以重新排序变量的级别？

Question

我正在尝试重现《用R进行文本挖掘》这本书的4.1.3节中的图4.3。 sentiment analysis

本节试图将所有二元组按四个否定单词“ not”，“ no”，“ never”和“ without”分组，并针对每个分组绘制情感贡献（仅按“否定词，表示对该书的错误贡献）。

因此，我将把单词绘制为y轴，将贡献作为x轴，并且为了使图看起来更好，我还希望每个组的条形按降序排列。因此，与前面的部分类似，我使用贡献值重新排列单词的级别。

但是这里的问题是，在每个组中，这些词将有不同的贡献。例如，在第1组中，“快乐”比“希望”出现的多，因此它的贡献更大，但是在第2组中，相反。更糟糕的是，当数据帧为mutate(word2 = reorder(word2, contribution))时，我无法group_by(word1)。

这本书能够很好地制作出应该的图，所以我想有一些方法可以根据不同的群体对水平进行重新排序。

下面是代码，#preparing the data for plotting之前的所有内容都是从书中摘录的，因此应该没有问题，代码是我的。

library(dplyr)
library(tidytext)
library(janeaustenr)
library(tidyr)

#getting bigrams

austen_bigrams <- austen_books() %>%
  unnest_tokens(bigram, text, token = "ngrams", n = 2)  
bigrams_separated <- austen_bigrams %>%
  separate(bigram, c("word1", "word2"), sep = " ")  

#four negation words to look at

negation_words <- c("not", "no", "never", "without")
AFINN <- get_sentiments("afinn")

#get the sentiment score of words preceded by the four negation words

negated_words <- bigrams_separated %>%
  filter(word1 %in% negation_words) %>%  #word1 as negation words
  inner_join(AFINN, by = c(word2 = "word")) %>%  #word2 as the word following negation words
  count(word1, word2, score, sort = TRUE) %>%
  ungroup()

#preparing the data for plotting

bigrams_plot <- bigrams_separated %>%
  filter(word1 %in% negation_words) %>% 
  inner_join(AFINN, by = c(word2 = "word")) %>%  #getting sentiment score
  count(word1, word2, score, sort = TRUE) %>%
  mutate(contribution = n * score) %>%  #defining contribution as n*score
  group_by(word1) %>%  #group by negation words
  top_n(12,abs(contribution)) %>%
  arrange(desc(abs(contribution))) %>%
  ungroup() %>%
  mutate(word2 = reorder(word2, contribution)) 

#plotting sentiment score contribution grouped by the four negation words

ggplot(bigrams_plot, aes(word2, n * score, fill = n * score > 0)) +
  geom_col(show.legend = FALSE) +
  facet_wrap(~word1, ncol = 2, scales = "free") +
  coord_flip()

我在下面创建了一个简单的版本：

v1_grp <- c(rep('A',10),rep('B',10))
v2_Aterm <- sample(letters[1:10],10,replace=F)
v2_Bterm <- sample(letters[1:10],10,replace=F)
v3_score <- sample(-10:10,20,replace=T)

data1 <- data_frame(grp=v1_grp,term=c(v2_Aterm,v2_Bterm),score=v3_score)

dataplot <- data1 %>%
  arrange(desc(score)) %>%
  mutate(term=reorder(term,score)) 

ggplot(dataplot, aes(term,score,fill=score>0)) +
  geom_col(show.legend = FALSE) +
  facet_wrap(~grp, ncol = 2, scales = "free") +
  coord_flip()

Answer 1

（改编自https://drsimonj.svbtle.com/ordering-categories-within-ggplot2-facets）

dataplot <- data1 %>%
  arrange(grp, score) %>%
  mutate(order = row_number())

ggplot(dataplot, aes(order,score,fill=score>0)) +
  geom_col(show.legend = FALSE) +
  facet_wrap(~grp, ncol = 2, scales = "free") +
  coord_flip() +
  scale_x_continuous(
    breaks = dataplot$order,
    labels = dataplot$term,
    expand = c(0,0)
  )