我在数据表中有一组五列。
dt <- data.table(
city = c(rep(1,2), rep(2,2), rep(3,2), rep(4,2)),
neighborhoods.1 = c(NA, "a", "b", "c", NA, NA, "d", "e"),
neighborhoods.2 = c(NA, "f", "g", rep(NA,5)),
neighborhoods.3 = c(NA, "h", rep(NA, 6)),
irrelevantdata = c(1:8)
)
city neighborhoods.1 neighborhoods.2 neighborhoods.3 irrelevantdata
1: 1 NA NA NA 1
2: 1 a f h 2
3: 2 b g NA 3
4: 2 c NA NA 4
5: 3 NA NA NA 5
6: 3 NA NA NA 6
7: 4 d NA NA 7
8: 4 e NA NA 8
我想将前四列合并为一列。
neighborhood
1: 1
2: 1-a-f-h
3: 2-b-g
4: 2-c
5: 3
6: 3
7: 4-d
8: 4-e
如您所见,我正在删除
NA
记录并用 -
分隔.这个我试过了,处理上有明显问题
j
:business[
,
neighborhood = paste0(
city,
if(!is.na(neighborhoods.1)) paste0("-", neighborhoods.1),
if(!is.na(neighborhoods.2)) paste0("-", neighborhoods.2),
if(!is.na(neighborhoods.3)) paste0("-", neighborhoods.3),
""
)
]
我怎样才能做到这一点?
更新以反射(reflect)我不想合并的其他列。
最佳答案
一种选择是 paste
使用 do.call
将行中的元素放在一起,然后删除 NA
元素以及额外的 -
在输出向量中。
dt[,.(neighborhood = gsub('-NA|NA-', '',
do.call(paste, c(.SD, sep='-')))), .SDcols= city:neighborhoods.3]
或者另一个选项是按行顺序分组,
unlist
Data.table 的子集 ( .SD
),删除 NA 元素 ( na.omit
), paste
元素在一起。我们可以在 .SDcols
中指定要用于此操作的列.dt[, .(neighbourhood = paste(na.omit(unlist(.SD)),collapse='-')) ,
by=1:nrow(dt), .SDcols= city:neighborhoods.3]
或者@Frank 建议的另一个选项是
melt
数据集的子集(由所需的列指定)到长格式,然后 paste
mycols <- setdiff(names(dt), 'irrelevantdata')
na.omit(melt(dt[, ..mycols][, r := .I],
id.var="r"))[, paste(value, collapse="-"), by=r]
关于r - 组合包含 NA 的 data.table 列,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/33764714/