I'm trying to install R-GUI on my Mac OSX, but for some reason it is not working. Anyone with a Mac able to answer why I would be getting the following error? I am currently running Mac OS X 10.4.6, which it seems to not be recognizing. *** R.app GUI 1.15 for R 2.3.0 for Mac OS X 10.4.4 and higher This package contains universal Cocoa-based R GUI for R 2.3.x for Mac OS X 10.4.4 (Tiger) or higher. Requirements: - Mac OS X 10.4.4 or higher - R framework 2.3.x installed in its default location /Library/ Frameworks The application called R will be installed by default in your Applications folder, but you can change the location during the installation. This is a universal binary for both PowerPC and Intel based Macs.
<Message snippe for brevity> Hi, |Requirements: |- Mac OS X 10.4.4 or higher This is ok. |- R framework 2.3.x installed in its default location /Library/ |Frameworks But is the above one installed in your system ? HTH, Senthil
Hi Scott, Can you explain a bit further what steps you took to get to where you are? There is a Mac specific mailing list R-SIG-Mac, which might be good to ask Mac specific questions. Regards, Rob On Apr 30, 2006, at 6:09 PM, Scott Cunningham wrote:> I'm trying to install R-GUI on my Mac OSX, but for some reason it is > not working. Anyone with a Mac able to answer why I would be getting > the following error? I am currently running Mac OS X 10.4.6, which > it seems to not be recognizing. > > *** > > R.app GUI 1.15 for R 2.3.0 > for Mac OS X 10.4.4 and higher > > This package contains universal Cocoa-based R GUI for R 2.3.x for Mac > OS X 10.4.4 (Tiger) or higher. > > Requirements: > - Mac OS X 10.4.4 or higher > - R framework 2.3.x installed in its default location /Library/ > Frameworks > > The application called R will be installed by default in your > Applications folder, but you can change the location during the > installation. > > This is a universal binary for both PowerPC and Intel based Macs. > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting- > guide.html
I have a model with a few correlated explanatory variables. i.e.> m1=lm(y~x1+x2+x3+x4,protdata)and I have used predict as follows:> x=data.frame(x=1:36) > yp=predict(m1,x,se.fit=T) > tprot=sum(yp$fit) # add up the predictions > tprottprot is the sum of the 36 predicted values and I would like the se of that prediction. I think> sqrt(sum(yp$se.fit^2))is not correct. Would anyone know the correct approach? i.e. How to get the se of a function of predicted values (in this case sum) Thanks, Bill