I'm wondering if there is any way to remove blanks from the list. As far as I've searched, I found out that there are many Q&As for removing the whole element from the list, but couldn't find the one regarding a specific component of the element.
To be specific, the list now I'm working with looks like this:
[[1]]
[1] "1" "" "" "2" "" "" "3"
[[2]]
[1] "weak"
[[3]]
[1] "22" "33"
[[4]]
[1] "44" "34p" "45"
From above, you can find " ", which should be removed. I've tried different commands like
text.words.bl <- text.words.ll[-which(text.words.ll==" ")]
text.words.bl <- text.words.ll[!sapply(text.words.ll, is.null)]
etc, but seems like " "s in [[1]] of the list still remains.
Is it impossible to apply commands to small pieces in each element of the list? (e.g. 1, 2, weak, 22, 33... respectively)
I've used "lapply" function to run specific commands to each elements, and it seemed like those lapply commands all worked....
JY
Use %in%
, but negate it with !
:
## Sample data:
L <- list(c(1, 2, "", "", 4), c(1, "", "", 2), c("", "", 3))
L
# [[1]]
# [1] "1" "2" "" "" "4"
#
# [[2]]
# [1] "1" "" "" "2"
#
# [[3]]
# [1] "" "" "3"
The replacement:
lapply(L, function(x) x[!x %in% ""])
# [[1]]
# [1] "1" "2" "4"
#
# [[2]]
# [1] "1" "2"
#
# [[3]]
# [1] "3"
Obviously, assign the output to "L" if you want to overwrite the original dataset:
L[] <- lapply(L, function(x) x[!x %in% ""])
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With