On Wed, 24 Oct 2007, sun wrote: > 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.
But note that it is linked from ?as.matrix. Although the 'See Also' sections of the help pages often link to things that may seem off-topic, they are a very useful way to find cognate functionality. > > > ----- 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. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
