Or maybe use assign?
> assign("natural_nums", 1:10)
> natural_nums
[1] 1 2 3 4 5 6 7 8 9 10
>
Cheers,
Simon.
On Fri, 2008-03-14 at 14:39 +1000, [EMAIL PROTECTED] wrote:
> I'm not sure why you would wish to do so, but it can be done:
>
> > natural_nums <- 1:10
> > even_nums <- seq(2,10, by = 2)
> > types <- c("natural_nums", "even_nums")
>
> > types <- lapply(types, as.name) ## list of variable names
> > types
> [[1]]
> natural_nums
>
> [[2]]
> even_nums
>
> > eval(types[[1]])
> [1] 1 2 3 4 5 6 7 8 9 10
> > eval(types[[2]])
> [1] 2 4 6 8 10
>
>
> Bill Venables
> CSIRO Laboratories
> PO Box 120, Cleveland, 4163
> AUSTRALIA
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> Fax (if absolutely necessary): +61 7 3826 7304
> Mobile: +61 4 8819 4402
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> mailto:[EMAIL PROTECTED]
> http://www.cmis.csiro.au/bill.venables/
>
> -----Original Message-----
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of Ng Stanley
> Sent: Friday, 14 March 2008 1:27 PM
> To: r-help
> Subject: [R] How to turn a string into a variable name ?
>
> Hi,
>
> For example,
>
> natural_nums <- 1:10
> even_nums <- seq(2,10, by = 2)
> types <- c("natural_nums", "even_nums")
>
> What functions can be performed on types[1] to turn it into a variable
> name
> and not a string ?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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> 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.
--
Simon Blomberg, BSc (Hons), PhD, MAppStat.
Lecturer and Consultant Statistician
Faculty of Biological and Chemical Sciences
The University of Queensland
St. Lucia Queensland 4072
Australia
Room 320 Goddard Building (8)
T: +61 7 3365 2506
http://www.uq.edu.au/~uqsblomb
email: S.Blomberg1_at_uq.edu.au
Policies:
1. I will NOT analyse your data for you.
2. Your deadline is your problem.
The combination of some data and an aching desire for
an answer does not ensure that a reasonable answer can
be extracted from a given body of data. - John Tukey.
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