问题
我有一个数据集,其中包含许多相同类型的变量,这些变量可以包含相同的值。我想检查在这些变量中,我们是否可以在列表中找到一个值列表中的一个值。
示例
假设我们有一个包含 3 个因子类型变量的数据集 DAS1
、DAS2
、DAS3
。
这些变量的可能值是 c("0", "1", "x", "y")
(请注意,我并不是要区分数字和字母。将每个值视为字符)。
library(data.table)
start <- data.table::data.table(DAS1 = c("0","1","x","0","1","0","1"),
DAS2 = c("x","y","0","0","x","1","0"),
DAS3 = c("1","1","y","1","x","y","0"))
我的目标是找出哪一行至少包含一个值 "x"
或 "y"
的观察值。
result <- data.table::data.table(DAS1 = c("0","1","x","0","1","0","1"),
DAS2 = c("x","y","0","0","x","1","0"),
DAS3 = c("1","1","y","1","x","y","0"),
xy = c(T,T,T,F,T,T,F))
条件
我真的很想用 data.table
包而不是 dplyr
因为我主要使用 data.table
而我不如果没有必要,我不想在两个包之间切换。
@lovalery 的回答
start[, xy := apply(start[,c("DAS1", "DAS2", "DAS3")],1, function(x) any(x %in% c("x", "y")))][]
最佳答案
你可以这样做:
代表
library(data.table)
start[, xy := apply(start,1, function(x) any(x == "x" | x == "y"))][]
#> DAS1 DAS2 DAS3 xy
#> 1: 0 x 1 TRUE
#> 2: 1 y 1 TRUE
#> 3: x 0 y TRUE
#> 4: 0 0 1 FALSE
#> 5: 1 x x TRUE
#> 6: 0 1 y TRUE
#> 7: 1 0 0 FALSE
由 reprex package 创建于 2022-03-04 (v2.0.1)
https://stackoverflow.com/questions/71349806/