Hi [EMAIL PROTECTED] napsal dne 24.10.2007 16:24:29:
> > ----- 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. > Try to look at Paul Johnson's StatsRus pages, which provide a collection of HowTo's. And maybe introduction to R manual in doc directory. Regards Petr > 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. ______________________________________________ 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.
