如何解决将多列重塑为2个具有不同时间的timevars？
我有以下数据框：
date clinic MALE_0_1 MALE_1_2 MALE_2_3 ... MALE_94_95 MALE_95+ FEMALE_0_1 FEMALE_1_2 ... FEMALE_95+
2017-01-01 A 30 25 40 ... 70 90 28 22 ... 40
2017-01-01 B 21 15 30 ... 45 27 31 40 ... 55
2017-02-01 C 29 35 45 ... 34 25 33 38 ... 45
如何创建这样的一个
date clinic GENDER AGE NUMBER_PATIENTS
2017-01-01 A MALE 0 30
2017-01-01 A FEMALE 0 28
2017-01-01 A MALE 1 25
2017-01-01 A FEMALE 1 22
....
2017-01-01 A MALE 95+ 90
2017-01-01 A FEMALE 95+ 40
2017-01-01 B MALE 0 21
2017-01-01 B FEMALE 0 31
....
2017-02-01 C MALE 0 29
2017-02-01 C FEMALE 0 33
MALE_0_1等于AGE = 0，MALE_1_2等于AGE = 1，等等。
下面的代码-我应该如何在times中同时包含FEMALE，“ GENDER”的MALE和“ AGE”的0:95？
df <- reshape(df,direction = "long",varying = list(names(df)[3:194]),v.names = "NUMBER_OF_PATIENTS",idvar = c("date","clinic"),timevar = c("GENDER","AGE"),times = ???)
解决方法
尝试这种接近您想要的方法：
library(tidyverse)
#Code
newdf <- df %>%
mutate(across(-date,~as.character(.))) %>%
pivot_longer(-c(date,clinic)) %>%
separate(name,c('Gender','V1','V2'),sep='_') %>%
mutate(value=as.numeric(value))
输出：
# A tibble: 24 x 6
date clinic Gender V1 V2 value
<date> <chr> <chr> <chr> <chr> <dbl>
1 2017-01-01 A MALE 0 1 30
2 2017-01-01 A MALE 1 2 25
3 2017-01-01 A MALE 2 3 40
4 2017-01-01 A MALE 94 95 70
5 2017-01-01 A MALE 95. NA 90
6 2017-01-01 A FEMALE 0 1 28
7 2017-01-01 A FEMALE 1 2 22
8 2017-01-01 A FEMALE 95. NA 40
9 2017-01-01 B MALE 0 1 21
10 2017-01-01 B MALE 1 2 15
# ... with 14 more rows
您可以指定要提取到pivot_longer中的模式。
tidyr::pivot_longer(df,cols = -c(date,clinic),names_to = c('GENDER','AGE'),names_pattern = '(.*?)_(\\d+\\+?)',values_to = 'NUMBER_PATIENTS')
# date clinic GENDER AGE NUMBER_PATIENTS
# <chr> <chr> <chr> <chr> <int>
# 1 2017-01-01 A MALE 0 30
# 2 2017-01-01 A MALE 1 25
# 3 2017-01-01 A MALE 2 40
# 4 2017-01-01 A MALE 94 70
# 5 2017-01-01 A MALE 95+ 90
# 6 2017-01-01 A FEMALE 0 28
# 7 2017-01-01 A FEMALE 1 22
# 8 2017-01-01 A FEMALE 95+ 40
# 9 2017-01-01 B MALE 0 21
#10 2017-01-01 B MALE 1 15
# … with 14 more rows
其中(.*?)_(\\d+\\+?)创建一个正则表达式模式以从两组列名中提取数据。第一组是第一个下划线之前的所有内容，第二组是带有可选+符号的数字。
数据
df <- structure(list(date = c("2017-01-01","2017-01-01","2017-02-01"
),clinic = c("A","B","C"),MALE_0_1 = c(30L,21L,29L),MALE_1_2 = c(25L,15L,35L),MALE_2_3 = c(40L,30L,45L),MALE_94_95 = c(70L,45L,34L),`MALE_95+` = c(90L,27L,25L),FEMALE_0_1 = c(28L,31L,33L),FEMALE_1_2 = c(22L,40L,38L),`FEMALE_95+` = c(40L,55L,45L)),class = "data.frame",row.names = c(NA,-3L))
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