Dear @Rui Barradas, thank you for the solution. It works perfectly.
On 13/10/2017, 23:35, "Rui Barradas" <ruipbarra...@sapo.pt> wrote:
Hello,
Try the following.
myDF1$studyno <- as.character(myDF1$studyno)
myDF2$studyno <- as.character(myDF2$studyno)
i1 <- which(names(myDF1) == "pf_mcl")
merge(myDF1[-i1], myDF2, by = "studyno")
Hope this helps,
Rui Barradas
Em 13-10-2017 20:09, Kevin Wamae escreveu:
> I'm trying to populate the column “pf_mcl” in myDF1 with values from
myDF2, where rows match based on column "studyno" but the solutions I have
found so far don't seem to be giving me the desired output.
>
> Below is a snapshot of the data.frames.
>
> myDF1 <- structure(list(studyno = c("J1000/9", "J1000/9", "J1000/9",
"J1000/9",
> "J1000/9", "J1000/9"), date = structure(c(17123, 17127, 17135,
> 17144, 17148, 17155), class = "Date"), pf_mcl = c(NA_integer_,
> NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
> ), year = c(2016, 2016, 2016, 2016, 2016, 2016)), .Names = c("studyno",
> "date", "pf_mcl", "year"), row.names = c(NA, 6L), class = "data.frame")
>
> myDF2 <- structure(list(studyno = c("J740/4", "J1000/9", "J895/7",
"J931/6",
> "J609/1", "J941/3"), pf_mcl = c(0L, 0L, 0L, 0L, 0L, 0L)), .Names =
c("studyno",
> "pf_mcl"), row.names = c(NA, 6L), class = "data.frame")
>
> myDF2 is a well curated subset of myDF1. Some rows in the two datasets
match based on "studyno", one may find that values are missing in myDF1$pf_mcl
or the values are wrong.
>
> All I want to do is identify a matching row in myDF2 and populate
myDF1$pf_mcl with the value in myDF2$pf_mcl. If a row does not match based on
“studyno”, the value should remain the same.
>
> It's probably worth mentioning, the two data frames have other
columns...I have selected a few for example purposes.
>
>
>
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