I have a data frame called nurse. At the moment it contains several columns but only one (nurse$word) is relevant at the moment. I want to create a new column named nurse$w.frequency which looks at the words in the nurse$word column and if it finds the one specified, I want it to change the corresponding nurse$w.frequency value to a specified integer.
nurse <- read.csv(...)
file word w.frequency
1 determining
2 journey
3 journey
4 serving
5 work
6 journey
... ...
The word frequency for determining and journey, for instance, is 1590 and 4650 respectively. So it should look like the following:
file word w.frequency
1 determining 1590
2 journey 4650
3 journey 4650
4 serving
5 work
6 journey 4650
... ...
I have tried it with the an ifelse statement (below) which seems to work, however, every time I try to change the actual word and frequency it overwrites the results from before.
nurse$w.frequency <- ifelse(nurse$word == "determining", nurse$w.frequency[nurse$word["determining"]] <- 1590, "")
You could first initialise an empty column
nurse$w.frequency <- NA
then populated it with the data you want
nurse$w.frequency[nurse$word == "determining"] <- 1590
nurse$w.frequency[nurse$word == "journey"] <- 4650
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