Reputation: 75
I have a nested list data
With str(data) I have the following output
List of 2
$ group_info :List of 2
..$ lat : num [1:22] 50.5 55 ...
..$ names : chr [1:22] "A" "B"
$ param : num [1:60, 1:56] 0.0923 0.0952 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:60] "RESULTS" "RESULTS1" "RESULTS2" "RESULTS3" ...
.. ..$ : chr [1:56] "exp" "pops" ...
I would like to check the values in "pops" column and if them are <0.125, then give then value of 0.125.
How would it be possible to do?
Thanks!
Upvotes: 0
Views: 34
Reputation: 887128
The easiest option is to extract the list
element and assign back with pmax
of the column and 0.125, thus if any element is less than 0.125, it will still return 0.125
data$param[, "pops"] <- pmax(data$param[, "pops"], 0.125, na.rm = TRUE)
Or if we want to use the <
, either ifelse
or replace
would work
data$param[, "pops"] <- replace(data$param[, "pops"],
data$param[, "pops"] < 0.125, 0.125)
Upvotes: 1