将 R 中的就业数据转换为从宽到长答案

【问题标题】：transform employment data in R - from wide to long将 R 中的就业数据转换为从宽到长
【发布时间】：2021-02-12 01:24:15
【问题描述】：

我有以下数据

employed_male; unemployed_male; inactive_male; employed_female; unemployed_female; inactive_female;

我想改成

gender; status; value

例如：

employed_male; unemployed_male; inactive_male; employed_female; unemployed_female; inactive_female;
5;             4;                6;            7;               3;                 1;

将会

gender; status; value
male; employed; 5
male; unemployed; 4
male; inactive; 6
female; employed; 7
female; unemployed; 3
female; inactive; 1

你知道哪个库或方法最能达到这个结果吗？

【问题讨论】：

标签： r data-visualization data-analysis

【解决方案1】：

使用pivot_longer，您可以使用：

tidyr::pivot_longer(df, 
                    cols = everything(), 
                    names_to = c('status', 'gender'),
                    names_sep = '_')

#  status     gender value
#  <chr>      <chr>  <int>
#1 employed   male       5
#2 unemployed male       4
#3 inactive   male       6
#4 employed   female     7
#5 unemployed female     3
#6 inactive   female     1

数据

df <- structure(list(employed_male = 5L, unemployed_male = 4L,inactive_male = 6L,
    employed_female = 7L, unemployed_female = 3L, inactive_female = 1L),
    row.names = c(NA, -1L), class = "data.frame")

【讨论】：

【解决方案2】：

tidyr::pivot_longer() 是个不错的选择。见this section of the documentation。

【讨论】：