如何根据另一列的值聚合两列的R数据框

Question

我的数据框如下，其中性别==“1”指男性，性别==“2”指女性，职业从 A 到 U，年份从 2010 年到 2018 年（我给你一个小例子）

Gender   Occupation    Year
1            A         2010
1            A         2010
2            A         2010
1            B         2010
2            B         2010
1            A         2011
2            A         2011
1            C         2011
2            C         2011

我想要一个输出，对性别、年份和职业不同的行数求和，如下所示：

Year | Occupation | Men | Woman
2010 |      A     |  2  |   1
2010 |      B     |  1  |   1
2011 |      A     |  1  |   1
2011 |      C     |  1  |   1

我试过以下方法：

Nr_gender_occupation <- data %>%
   group_by(year, occupation) %>%
   summarise(
      Men = aggregate(gender=="1" ~ occupation, FUN= count),
      Women = aggregate(gender=="2" ~ occupation, FUN=count)
)

Answer 1

我们可以使用 'Gender' 中的索引来更改值，然后使用 pivot_wider 从 tidyr 将数据重塑为 'wide' 格式

library(dplyr)
library(tidyr)
data %>%
 mutate(Gender = c("Male", "Female")[Gender]) %>%
 pivot_wider(names_from = Gender, values_from = Gender, values_fn = length)

-输出

# A tibble: 4 x 4
#  Occupation  Year  Male Female
#  <chr>      <int> <int>  <int>
#1 A           2010     2      1
#2 B           2010     1      1
#3 A           2011     1      1
#4 C           2011     1      1

或使用 table 和 unnest

library(tidyr)
data %>%
   group_by(Year, Occupation) %>%
   summarise(out = list(table(Gender)), .groups = 'drop') %>%     
   unnest_wider(out)

或者我们可以使用 count 和 pivot_wider

data %>%
  count(Gender, Occupation, Year) %>%
  pivot_wider(names_from = Gender, values_from = n)

数据

data <- structure(list(Gender = c(1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), 
    Occupation = c("A", "A", "A", "B", "B", "A", "A", "C", "C"
    ), Year = c(2010L, 2010L, 2010L, 2010L, 2010L, 2011L, 2011L, 
    2011L, 2011L)), class = "data.frame", row.names = c(NA, -9L
))

Answer 2

您还可以在您的组内进行计数：

library(dplyr)

df %>% 
  group_by(Occupation, Year) %>% 
  summarize(Men = sum(Gender == 1),
            Woman = sum(Gender == 2), .groups = "drop")

输出

  Occupation  Year   Men Woman
  <chr>      <dbl> <int> <int>
1 A           2010     2     1
2 A           2011     1     1
3 B           2010     1     1
4 C           2011     1     1

Answer 3

data.table 选项使用 dcast

dcast(setDT(df), Year + Occupation ~ c("Men", "Woman")[Gender])

给予

   Year Occupation Men Woman
1: 2010          A   2     1
2: 2010          B   1     1
3: 2011          A   1     1
4: 2011          C   1     1

如何根据另一列的值聚合两列的R数据框

How to aggregate R dataframe of two columns based on values of another

aggregate

r

dataframe

summarize

数据