Firstly, please make sure to reply-all so the r-help list also receives
these emails.
Second, I have just run this sequence as it provides an exact copy with
each as numeric. Use the apply function, it iterates over each column and
converts each to numeric.
dat <- read.table(text="a coef
coef.l coef.h
1 1 0.005657825001254 0.00300612956318132 0.00830952043932667
2 2 0.00634505314577229 0.00334102345418614 0.00934908283735844
3 3 0.00368668099805019 0.000289702228748421 0.00708365976735195
4 4 0.0056200291035751 0.00209123538827368 0.00914882281887651
5 5 0.00636609791030242 0.00269683889899591
0.0100353569216089",sep="",colClasses=rep("factor",4))
dat.num <- apply(dat, 2, FUN = function(x) as.numeric(as.character(x)))
Charles
On Thu, Oct 10, 2013 at 8:37 AM, arun <smartpink...@yahoo.com> wrote:
>
>
> Looks like it is directly doing:
> as.numeric() without the as.character()
> For ex:
> as.numeric(dat[,2])
> #[1] 3 4 1 2 5
>
>
>
>
>
> On Thursday, October 10, 2013 9:33 AM, Charles Determan Jr <
> deter...@umn.edu> wrote:
>
> I'm not honestly sure why data.matrix didn't work off hand. Perhaps
> another user can shed some light on this. An alternative is the following:
>
> apply(dat, 2, FUN = function(x) as.numeric(as.character(x)))
>
>
>
>
> On Thu, Oct 10, 2013 at 8:26 AM, arun <smartpink...@yahoo.com> wrote:
>
> Did you mean to apply it like this or is it something else?
> > data.matrix(dat) #
> > a coef coef.l coef.h
> >1 1 3 4 2
> >2 2 4 5 4
> >3 3 1 1 1
> >4 4 2 2 3
> >5 5 5 3 5
> >
> >
> >A.K.
> >
> >
> >
> >
> >
> >
> >On Thursday, October 10, 2013 9:09 AM, Charles Determan Jr <
> deter...@umn.edu> wrote:
> >
> >data.matrix() should do the job for you
> >
> >Charles
> >
> >
> >
> >
> >On Thu, Oct 10, 2013 at 8:02 AM, arun <smartpink...@yahoo.com> wrote:
> >
> >Hi,
> >>It is not clear whether all the variables are factor or only a few are..
> >>
> >>dat<- read.table(text="a coef
> coef.l coef.h
> >>1 1 0.005657825001254 0.00300612956318132 0.00830952043932667
> >>2 2 0.00634505314577229 0.00334102345418614 0.00934908283735844
> >>3 3 0.00368668099805019 0.000289702228748421 0.00708365976735195
> >>4 4 0.0056200291035751 0.00209123538827368 0.00914882281887651
> >>5 5 0.00636609791030242 0.00269683889899591
> 0.0100353569216089",sep="",colClasses=rep("factor",4))
> >>dat1<- dat
> >>
> >>
> >> dat[] <- lapply(dat,function(x) as.numeric(as.character(x)))
> >>
> >>str(dat)
> >>#'data.frame': 5 obs. of 4 variables:
> >># $ a : num 1 2 3 4 5
> >># $ coef : num 0.00566 0.00635 0.00369 0.00562 0.00637
> >># $ coef.l: num 0.00301 0.00334 0.00029 0.00209 0.0027
> >># $ coef.h: num 0.00831 0.00935 0.00708 0.00915 0.01004
> >>
> >>
> >># With only a subset of variables in the dataset as factors
> >> dat1$a<- as.numeric(as.character(dat1$a))
> >>
> >>
> >>dat1[sapply(dat1,is.factor)]<-
> lapply(dat1[sapply(dat1,is.factor)],function(x) as.numeric(as.character(x)))
> >> str(dat1)
> >>#'data.frame': 5 obs. of 4 variables:
> >># $ a : num 1 2 3 4 5
> >># $ coef : num 0.00566 0.00635 0.00369 0.00562 0.00637
> >># $ coef.l: num 0.00301 0.00334 0.00029 0.00209 0.0027
> >># $ coef.h: num 0.00831 0.00935 0.00708 0.00915 0.01004
> >>
> >>A.K.
> >>
> >>
> >>
> >>I have a factor data frame which I want to convert to numeric without
> any change in contents. How could I do that?
> >>
> >>
> >> a coef coef.l coef.h
> >>1 1 0.005657825001254 0.00300612956318132 0.00830952043932667
> >>2 2 0.00634505314577229 0.00334102345418614 0.00934908283735844
> >>3 3 0.00368668099805019 0.000289702228748421 0.00708365976735195
> >>4 4 0.0056200291035751 0.00209123538827368 0.00914882281887651
> >>5 5 0.00636609791030242 0.00269683889899591 0.0100353569216089
> >>
> >>______________________________________________
> >>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.
> >>
> >
>
>
> --
>
> Charles Determan
> Integrated Biosciences PhD Candidate
> University of Minnesota
>
--
Charles Determan
Integrated Biosciences PhD Candidate
University of Minnesota
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