所以我是编码的新手,需要一些有关数据清理/组织的帮助。我的数据目前看起来像这样:
Date Case Num Name
12/16 1, 2 Smith, John
12/16 3, 4 Smith, John
01/17 5, 6 Smith, John
我希望它看起来像这样:
Date Case Num Name
12/16 1 Smith, John
12/16 2 Smith, John
12/16 3 Smith, John
12/16 4 Smith, John
01/17 5 Smith, John
01/17 6 Smith, John
请帮助。谢谢!
答案 0 :(得分:2)
library(tidyverse)
dat%>%
mutate(Case.Num=strsplit(Case.Num,","))%>%
unnest()
Date Name Case.Num
1 12/16 Smith, John 1
2 12/16 Smith, John 2
3 12/16 Smith, John 3
4 12/16 Smith, John 4
5 01/17 Smith, John 5
6 01/17 Smith, John 6
答案 1 :(得分:1)
您可以使用tidyr软件包中的separate_rows
library(tidyr)
df1 %>% separate_rows(Case_Num)
Date Case_Num Name
1 12/16 1 Smith, John
2 12/16 2 Smith, John
3 12/16 3 Smith, John
4 12/16 4 Smith, John
5 01/17 5 Smith, John
6 01/17 6 Smith, John
数据:
df1 <- structure(list(Date = c("12/16", "12/16", "01/17"),
Case_Num = c("1, 2","3, 4", "5, 6"),
Name = c("Smith, John", "Smith, John", "Smith, John")),
class = "data.frame",
row.names = c(NA, -3L))