从宽到长的重塑,简单的 data.table 问题

epi*_*iNS 2 r melt reshape2 data.table dcast

我知道必须有一个单行data.table解决方案,可能是dcast,但我无法弄清楚。

我有这样的数据:

library(data.table)
data1 <- data.table(
  id = seq(1:5),
  code = c("A","A","B","A","B"),
  date = as.Date( c("2021-08-11","2021-01-05","2021-02-18","2021-02-13","2021-12-13" ))
)
data2 <- data.table(
  id = seq(1:5),
  code = c("B","B","A","B","A"),
  date = as.Date( c("2021-08-13","2021-01-05","2021-02-19","2021-02-14","2021-12-13" ))
)
data3 <- rbind(data1, data2)

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我只是想重塑为这样的宽格式

data_want <- data.table(
  id = seq(1:5),
  code1 = c("A", "A","B","A","B"),
  data1 = c("2021-08-11", "2021-01-05","2021-02-18","2021-02-13","2021-12-13"),
  code2 = c("B", "B","A","B","A"),
  data2 = c("2021-08-13", "2021-01-05","2021-02-19","2021-02-14","2021-12-13")
)

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如何做到这一点dcast

mar*_*kus 5

您还可以使用rowid如下

dcast(data3, id ~ rowid(id), value.var = c("code", "date"))
#   id code_1 code_2     date_1     date_2
#1:  1      A      B 2021-08-11 2021-08-13
#2:  2      A      B 2021-01-05 2021-01-05
#3:  3      B      A 2021-02-18 2021-02-19
#4:  4      A      B 2021-02-13 2021-02-14
#5:  5      B      A 2021-12-13 2021-12-13
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