Hi all,
table() did the trick, and very efficiently, too! Thanks for the
advice,
Dave
On Thu, Jul 28, 2011 at 5:39 PM, David Winsemius wrote:
>
> On Jul 28, 2011, at 4:24 PM, David Warren wrote:
>
> Hi all,
>>
>>I'm working with a sizable dataset that I'd like to summarize, but I
>>
On Jul 28, 2011, at 4:24 PM, David Warren wrote:
Hi all,
I'm working with a sizable dataset that I'd like to summarize,
but I
can't find a tool or function that will do quite what I'd like.
Basically,
I'd like to summarize the data by fully crossing three variables and
getting
a co
$ y : Factor w/ 2 levels "i","ii": 1 1 1 2 2 2
$ Freq: int 0 1 0 2 0 1
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of David Warren
> Se
You don't offer a reproducible example, but what do you need that table()
doesn't provide?
testdata <- data.frame(A=factor(sample(1:3, 20)), B=factor(sample(1:3,
20)), C=factor(sample(1:3, 20)))
table(testdata)
Sarah
On Thu, Jul 28, 2011 at 4:24 PM, David Warren
wrote:
> Hi all,
>
> I'm wor
Hi all,
I'm working with a sizable dataset that I'd like to summarize, but I
can't find a tool or function that will do quite what I'd like. Basically,
I'd like to summarize the data by fully crossing three variables and getting
a count of the number of observations for every level of that 3
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