Issue
I have two lists in R. One is a list of data frames with rows that contain strings (List 1). The other is a list (of the same length) of characters (List 2). I would like to go through the lists in a parallel fashion taking the character string from List 2 and searching for it to get its position (using grep) in the data frame at the corresponding element in List 1. Here is a toy example to show what my lists look like:
List1 <- list(data.frame(a = c("other","other","dog")),
data.frame(a = c("cat","other","other")),
data.frame(a = c("other","other","bird")))
List2 <- list("a" = c("dog|xxx|xxx"),
"a" = c("cat|xxx|xxx"),
"a" = c("bird|xxx|xxx"))
The output I would like to get would be a list of the position in each data frame in List 1 of the pattern match i.e. in this example the positions would be 3, 1 & 3. So the list would be:
[[1]]
[1] 3
[[2]]
[1] 1
[[3]]
[1] 3
I cannot seem to figure out how to do this.
I tried lapply:
NewList1 <- lapply(1:length(List1),
function(x) grep(List2[[x]]))
But that does not work. I also tried purrr:map2:
NewList2<-map2(List2, List1, grep(List2$A, List1))
This also does not work. I would be very grateful of any suggestions anyone may have as to how to fix this. Many thanks to anyone willing to wade in!
Solution
Using Map
you can do -
Map(function(x, y) grep(y, x$a), List1, List2)
#[[1]]
#[1] 3
#[[2]]
#[1] 1
#[[3]]
#[1] 3
The map2
attempt was close but you need to refer lists as .x
and .y
in the function.
purrr::map2(List2, List1, ~grep(.x, .y$a))
Answered By - Ronak Shah Answer Checked By - Candace Johnson (WPSolving Volunteer)