I took a look at these two ref cards and indeed they are helpful, but still they are not complete enough to include this data.matrix() function in particular.
----- Original Message ----- From: "John Kane" <[EMAIL PROTECTED]> To: "sun" <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]> Sent: Wednesday, October 24, 2007 4:36 PM Subject: Re: [R] convert factor dataframe into numeric matrix > You might want to have a look at the two "R reference > card" documents under "Contributed" on CRAN. > > --- sun <[EMAIL PROTECTED]> wrote: > >> >> ----- Original Message ----- >> From: "Prof Brian Ripley" <[EMAIL PROTECTED]> >> To: "sun" <[EMAIL PROTECTED]> >> Cc: <[EMAIL PROTECTED]> >> Sent: Wednesday, October 24, 2007 2:58 PM >> Subject: Re: [R] convert factor dataframe into >> numeric matrix >> >> >> > On Wed, 24 Oct 2007, sun wrote: >> > >> >> Bear me if this is a naive question. >> >> >> >> I have a dataframe, all lists inside it are >> factors. When I use >> > >> > Do you mean 'all columns are factors'? A data >> frame is a list but usually >> > does not contain lists. >> > >> >> as.matrix(df) to convert, I get a character >> matrix while my intention is >> >> to >> >> get numeric matrix. I can make the convertion >> iteratively by each list >> >> but >> >> I do think there is some more elegant way of >> doing this. >> >> >> >> please let me know if I missed somthing there. >> > >> > ?data.matrix may be what you are looking for: you >> gave us too little >> > detail to be sure. >> > >> >> >> Thanks for your helps. I did not provide data 'cause >> I thought this is FAQ >> type of question(maybe wrong impression). >> Actually I use algdesign generated a factorial >> design data frame in which: >> > >> > str(dat) >> 'data.frame': 2304 obs. of 6 variables: >> $ party : Factor w/ 3 levels "1","2","3": 1 2 3 1 2 >> 3 1 2 3 1 ... >> $ dinner: Factor w/ 3 levels "1","2","3": 1 1 1 2 2 >> 2 3 3 3 1 ... >> $ d1 : Factor w/ 4 levels "1","2","3","4": 1 1 1 >> 1 1 1 1 1 1 2 ... >> $ p1 : Factor w/ 4 levels "1","2","3","4": 1 1 1 >> 1 1 1 1 1 1 1 ... >> $ d2 : Factor w/ 4 levels "1","2","3","4": 1 1 1 >> 1 1 1 1 1 1 1 ... >> $ p2 : Factor w/ 4 levels "1","2","3","4": 1 1 1 >> 1 1 1 1 1 1 1 ... >> >> I just figured out a way fo convert it to numeric >> matrix using >> >d = as.data.frame(lapply(dat,as.numeric)) >> >> but "data.matrix()" suggested by Prof. Brian and Mr. >> Dimitris is exactly the >> thing I was looking for. >> >> I am not sure if there exist some documents or >> online source that have >> documented these kind of "utility functions" >> categorized in somet categories >> like "data types", "data manipulating functions", >> "variable scopes", etc., >> that allow a quick browsing for some functions or >> other information. >> >> Thanks for your kind helps. >> >> Kind regards, >> Sun >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, >> reproducible code. >> > > > > right on your Mail page. Start today at > http://mrd.mail.yahoo.com/try_beta?.intl=ca ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
