Try this:
with(anderson, cut(log_WBC, c(0, 2.3, 3, max(log_WBC)), labels =
c('low', 'medium', 'high')))
On Tue, Oct 13, 2009 at 4:37 PM, Richardson, Patrick
<patrick.richard...@vai.org> wrote:
> I'm trying to categorize a continuous variable (yes, I know that's horrible,
> but I'm trying to reproduce some exercises from a textbook) and don't really
> know an efficient way to do this.
>
> I have a data frame that looks like:
>
> surv_time relapse sex log_WBC rx
> 1 35 0 1 1.45 0
> 2 34 0 1 1.47 0
> 3 32 0 1 2.20 0
> 4 32 0 1 2.53 0
>
> And I'm trying to categorize log_WBC into:
>
> (0-2.30) = "low"
> (2.31-3.00)= "medium"
> (>3.00) = "high"
>
> I've used an ifelse statement such as:
>
> anderson$log_WBC <- ifelse(anderson$log_WBC<2.30,"low",anderson$log_WBC)
>
> Is there a way to use "greater than" "less than" syntax within the context of
> an ifelse statement? Or can someone point me to a function that will do this
> easier.
>
> Many Thanks,
>
> Patrick
>
> This email message, including any attachments, is for th...{{dropped:6}}
>
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--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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