Hi
"Katya Mauff" <katya.ma...@uct.ac.za> napsal dne 04.05.2010 09:53:49:
> another way to do it (if you are still having problems) is to use sapply
> (yourdataname,data.class) after you've read it in, which will tell you
the
> data class of each of your variables (factor, numeric etc). You can then
> change your factor variables to numeric by typing yourdataname
> $variablename=as.numeric(yourdataname$variablename).
You can not!!!!! When you do it you will get numeric **representation** of
factor levels.
> x<-rnorm(5)
> x
[1] -1.1550254 -0.4578429 -0.6089007 -1.7378599 0.1297853
> x.f<-factor(x)
> x.f
[1] -1.15502538070463 -0.457842907389024 -0.608900689299125
-1.73785992416606
[5] 0.129785271221269
5 Levels: -1.73785992416606 -1.15502538070463 ... 0.129785271221269
> as.numeric(x.f)
[1] 2 4 3 1 5
>
Regards
Petr
>
> >>> Petr PIKAL <petr.pi...@precheza.cz> 2010/05/04 09:38 AM >>>
> Hi
>
> r-help-boun...@r-project.org napsal dne 04.05.2010 00:50:00:
>
> > I think that you are correct. R has the annoying habit of converting
> > character data to factors when you don't want it to while it is
> importing
> > data. This is because the in the option "stringsAsFactors" is set to
> TRUE for
> > some weird historical reasons.
>
> It is a matter of opinion. I consider it quite useful feature. If I see
by
>
> str(some.data) or summary(data0 that numeric columns are factors I know
> something is wrong with input.
>
> and when I want to use ggplot, xyplot or just plot my data with
different
> colours/sizes/pchs/.... it is quite easy to use as.numeric(my.factor) to
> get numeric representation of levels.
>
> Finally you can easily change labels, concatenate levels and so on.
>
> Just my 2 cents.
>
> Regards
> Petr
>
>
>
> >
> > Try the command str(insert name of data) and see what happens. It
> should show
> > you which columns of data are being treated as factors.
> >
> > You can convert the back to character or to numeric. See the FAQ Part
7
> "How
> > do I convert factors to numeric? " or you can use the String as
options
> > command in the read.table to FALSE
> >
> > Something like this should work, I think, but it's not tested
> > read.table("C:/rdata/trees.csv", stringsAsFactors=FALSE)
> >
> >
> >
> >
> >
> > --- On Mon, 5/3/10, vincent.deluard <vincent.delu...@trimtabs.com>
> wrote:
> >
> > > From: vincent.deluard <vincent.delu...@trimtabs.com>
> > > Subject: Re: [R] / Operator not meaningful for factors
> > > To: r-help@r-project.org
> > > Received: Monday, May 3, 2010, 6:22 PM
> > >
> > > Hi there,
> > >
> > > This will sound very stupid because I just started using R
> > > but I see you had
> > > similar problems.
> > >
> > > I just loaded a very large dataset (2950*6602) from csv
> > > into R. The format
> > > is ticker=row, date=column.
> > > Every time I want to compute basic operations, R returns
> > > "In Ops.factor: not
> > > meaningful for factors"
> > >
> > > I believe it is because R does not read the data as numbers
> > > but I am not
> > > sure. Can anybody help?
> > >
> > > Thanks!
> > > --
> > > View this message in context:
> http://r.789695.n4.nabble.com/Operator-not-
> > meaningful-for-factors-tp791563p2124697.html
> > > Sent from the R help mailing list archive at Nabble.com.
> > >
> > > ______________________________________________
> > > R-help@r-project.org
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> > > PLEASE do read the posting guide
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> > > and provide commented, minimal, self-contained,
> > > reproducible code.
> > >
> >
> > ______________________________________________
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