李克特图

作者

[编辑] 郑虎;

[审核] .

注记

Hiplot 网站

本页面为 Hiplot Likert Plot 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/likert?lang=zh_cn

对李克特量表带数据进行可视化描述性统计分析。

环境配置

系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包: ggplotify; likert

# 安装包
if (!requireNamespace("ggplotify", quietly = TRUE)) {
  install.packages("ggplotify")
}
if (!requireNamespace("likert", quietly = TRUE)) {
  install.packages("likert")
}

# 加载包
library(ggplotify)
library(likert)

数据准备

# 加载数据
data <- read.delim("files/Hiplot/091-likert-data.txt", header = T)

# 整理数据格式
levs <- unique(unlist(data))
for (i in 1:ncol(data)) {
  data[,i] <- factor(data[, i], levels = levs)
}

# 查看数据
head(data)

            ST24Q01           ST24Q02        ST24Q03           ST24Q04
1 Strongly disagree    Strongly agree          Agree Strongly disagree
2          Disagree    Strongly agree Strongly agree Strongly disagree
3          Disagree          Disagree       Disagree             Agree
4          Disagree          Disagree       Disagree          Disagree
5          Disagree             Agree       Disagree Strongly disagree
6             Agree Strongly disagree          Agree Strongly disagree
            ST24Q05           ST24Q06        ST24Q07           ST24Q08
1             Agree Strongly disagree          Agree          Disagree
2    Strongly agree Strongly disagree          Agree          Disagree
3          Disagree          Disagree       Disagree          Disagree
4          Disagree Strongly disagree       Disagree          Disagree
5             Agree Strongly disagree Strongly agree Strongly disagree
6 Strongly disagree          Disagree       Disagree             Agree
            ST24Q09           ST24Q10           ST24Q11
1 Strongly disagree             Agree             Agree
2 Strongly disagree             Agree             Agree
3          Disagree          Disagree          Disagree
4 Strongly disagree          Disagree          Disagree
5 Strongly disagree Strongly disagree             Agree
6          Disagree             Agree Strongly disagree

可视化

# 李克特图
pobj <- likert(data)
colrs <- c("#3B4992FF","#EE0000FF")
p <- as.ggplot(plot(pobj, type = "bar", 
                    low.color = colrs[1], high.color = colrs[2], wrap = 50))

p