R 中聚集堆积条形图中每个组的单独标记

问题描述

使用此答案的帮助：Grouped stacked bar graph: issues regarding order of stack,horizontal orientation of graph and label of groups

test  <- data.frame(person=c("Q8.3. Patients presenting to me,who are suitable \n for referral to social prescribing services,\n have decreased.\n GP (n = 72) \n LW (n = 101)","Q8.5. Patients feel well-supported during COVID-19 \n for their emotional and social needs.\n GP (n = 70) \n LW (n = 125)","Q9.1. Less patients are interested in being \n referred to social prescribing services.\n GP (n = 55) \n LW (n = 100)","Q9.4. Online services are available to replace community \n groups and statutory services that are \n not available. \n GP (n = 60) \n LW (n = 133)","Q9.6. Link workers have great influence on the services \n people are referred to.\n GP (n = 58) \n LW (n = 131)"),value1=c(22.22,8.57,23.63,31.66,79.31),# GP Agree   
                    value2=c(54.16,77.14,58.18,40,13.79),# GP disagree
                    value3=c(23.61,14.28,18.18,28.33,6.89),# GP Neutral
                    value4=c(19.8,48,9,51.87,69.46),# LW Agree
                    value5=c(64.35,34.4,70,28.57,14.5),# LW disagree
                    value6=c(15.84,17.6,21,19.54,16.03))     # LW Neutral

library(reshape2) # for melt

melted <- melt(test,"person")

melted$cat <- ''
melted[melted$variable == 'value1' | melted$variable == 'value2' | melted$variable == 'value3',]$cat <- "GP"
melted[melted$variable == 'value4' | melted$variable == 'value5'| melted$variable == 'value6',]$cat <- "LW"
melted$Response <- ''
melted[melted$variable %in% sprintf("value%i",c(1,4)),]$Response <- "Agree"
melted[melted$variable %in% sprintf("value%i",c(2,5)),]$Response <- "disagree"
melted[melted$variable %in% sprintf("value%i",c(3,6)),]$Response <- "Neutral"


melted$Response <- factor(melted$Response,c("Agree","Neutral","disagree"))

p = ggplot(melted,aes(x = cat,y = value,fill = Response))
p + geom_bar(stat = 'identity',position = 'stack') +
  geom_text(aes(label = paste0(value,"%")),position = position_stack(vjust = .5)) +
  ylab("Percentage of responses")+
  xlab("Population")+
  facet_grid(person~.) + 
  scale_fill_manual(values = c("#488f31","#ffeb8a","#de425b")) + 
  theme(panel.background = element_rect(fill = 'white'),strip.text.y = element_text(angle = 0)) +
  coord_flip()

我能够生成以下图表：

我的问题是：如何获取组（GP、LW）的标签以显示它们旁边的样本量？我想知道我可以在代码中的哪个位置添加这样一个数组来标记图表。

例如，第二个小节的 GP (n = 72) 和第一个小节的 LW (n = 101) 写在右边，而不仅仅是 GP 和 LW。

谢谢。

解决方法

这可以像这样实现：

1. 使用例如从您的 person 变量中提取包括样本大小在内的类别标签string::str_extract 并将其分配给 cat。
2. 将 scales = "free_y" 添加到 facet_grid。

EDIT 可以使用例如从问题中删除样本大小gsub：

library(reshape2) # for melt
library(ggplot2)
library(stringr)

melted$cat <- ifelse(melted$cat == "GP",stringr::str_extract(melted$person,"GP \\(n = \\d+\\)"),"LW \\(n = \\d+\\)"))

melted$person <- gsub("(GP|LW) \\(n = \\d+\\)","",melted$person)

p = ggplot(melted,aes(x = cat,y = value,fill = Response))
p + geom_bar(stat = 'identity',position = 'stack') +
  geom_text(aes(label = paste0(value,"%")),position = position_stack(vjust = .5)) +
  ylab("Percentage of responses")+
  xlab("Population")+
  facet_grid(person~.,scales = "free_y") + 
  scale_fill_manual(values = c("#488f31","#ffeb8a","#de425b")) + 
  theme(panel.background = element_rect(fill = 'white'),strip.text.y = element_text(angle = 0)) +
  coord_flip()