r - 检查列表中的值是否存在于多列 R data.table 中

Question

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")))][]

Answer 1

你可以这样做:

代表

• 代码

library(data.table)

start[, xy := apply(start,1, function(x) any(x == "x" | x == "y"))][]

• 输出

#>    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)}