[ACCEPTED]-Replace specific column "words" into number or blank-numbers
Accepted answer
You can do this with one line by changing 1 the labels of the factor Response:
> within(df, Response <- factor(Response, labels = c(-1, 1, "")))
Patients Hospital Drug Response
1 1 AAA a 1
2 1 AAA a -1
3 2 BBB a -1
4 3 CCC b 1
5 4 CCC c -1
6 5 DDD e
Catherine, your questions could still be 6 answered by a very basic textbook in R. Please 5 see Dirk's comment in your previous question.
Answer
If d is your 4 data frame, then:
d[d$Response == "Good",]$Response = 1
d[d$Response == "Bad",]$Response = -1
d[d$Response == "undefined",]$Response = ""
I'm guessing (I may be 3 wrong) that "Undefined" is missing 2 data. In which case, use NA rather than a 1 blank. Any basic R book will describe NA's
If your data is in a data frame df
df$Response[df$Response == "Good"] <- 1
df$Response[df$Response == "Bad"] <- -1
df$Response[df$Response == "undefined"] <- ""
0
You can use a simple ifelse() statement.
cath <- data.frame(nmbrs = runif(10), words = sample(c("good", "bad"), 10, replace = TRUE))
cath$words <- ifelse(cath$words == "good", 1, ifelse(cath$words == "bad", -1, ""))
0
Source:
stackoverflow.com
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