Thanks for the leads. I had been looking at CrossTables for awhile, but they
only seem to have one variable on each axis for each example I read.
The Hmisc summary.formula looks very promising, so I will investigate it
now. I think that might be the winner from looking at the examples you
sugge
On Wed, Oct 6, 2010 at 7:08 AM, Jamesp wrote:
>
> 6b) Getting pretty close with some nasty code. I think I could copy and
> paste to openoffice calc and make it pretty fairly easily at this point.
>
> I should make a function to clean up the repeated part at least. Overall, I
> think I could ma
6b) Getting pretty close with some nasty code. I think I could copy and
paste to openoffice calc and make it pretty fairly easily at this point.
I should make a function to clean up the repeated part at least. Overall, I
think I could make a function that applies another function to generate a
Thanks for the feedback, this is really helpful.
4) Your solution works like a charm. I opted for reference by column number
since I had so many.
ynFields = c(12:22,58:229)
ynLabel = c("No","Yes")
X[ynFields] <- lapply(X[ynFields], factor, levels=0:1, labels=ynLabel)
whenFields = c(24:56)
when
Jamesp [Sat, Oct 02, 2010 at 11:27:09PM CEST]:
>
[...]
>
> 1) I was thinking I'd have to go through each nominal variable (i.e.
> table(X$race) ), but I think I have it figured out now. summary(X
>
> !!
>
Dear Jamesp,
This might be (more?) fitting for a blog then the R-help mailing list.
I'd suggest you to open a blog on (it takes less then 4 minutes):
wordpress.com
It now has syntax highlighting for R code:
http://www.r-statistics.com/2010/09/r-syntax-highlighting-for-bloggers-on-wordpress-com/
I
I just started using R and I'm having all sorts of "fun" trying different
things.
I'm going to document the different things I'm doing here as a kind of case
study. I'm hoping that I'll get help from the community so that I can use R
properly.
Anyways, in this study, I have demographic data, dr
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