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?
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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