Hi
I may be completely wrong, but if your data was factor you could easily change
its levels without any ifelse stuff.
Some sample data
> dat<-factor(paste("cond", sample(1:7, 20, replace=T), sep=""))
> dat
[1] cond2 cond1 cond7 cond5 cond7 cond7 cond3 cond4 cond2 cond4 cond2 cond2
[13] cond6 cond2 cond3 cond6 cond2 cond4 cond6 cond4
Levels: cond1 cond2 cond3 cond4 cond5 cond6 cond7
Changing levels
> levels(dat)<- c(rep("uniform", 4), rep("BiasedLow",2), rep("BisaedHigh", 2))
> dat
[1] uniform uniform BisaedHigh BiasedLow BisaedHigh BisaedHigh
[7] uniform uniform uniform uniform uniform uniform
[13] BiasedLow uniform uniform BiasedLow uniform uniform
[19] BiasedLow uniform
Levels: uniform BiasedLow BisaedHigh
Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:[email protected]] On Behalf Of Kirsten
> Morehouse
> Sent: Monday, July 24, 2017 2:24 PM
> To: R-help <[email protected]>
> Subject: [R] Ifelse statements and combining columns
>
> Hi everyone,
>
> I'm having some trouble with my ifelse statements.
>
> I'm trying to put 12 conditions within 3 groups. Here is the code I have so
> far:
>
> dat$cond <- ifelse(test = dat$cond == "cond1" | dat$cond == "cond2" |
> dat$cond == "cond3" dat$cond == "cond4"
> yes = "Uniform"
> no = ifelse(test = dat$cond == "cond5" | dat$cond ==
> "cond6") | dat$cond == "cond7" dat$cond == "cond8"
> yes = "Biased Low"
> no = "Biased High" )
>
>
> I keep getting an error statement about an invalid ). I've tried several
> permutations to fix, but without luck.
>
> Also, can anyone help me bind columns together? I've tried:
>
> cbind[, c(15:25)] but get the error: object of type 'closure' is not
> subsettable
>
> Thank you in advance!
>
> Kirsten
>
> [[alternative HTML version deleted]]
>
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