You can do this with regular expressions, since you want to extract specific
values from the string I would suggest learning about the gsubfn package, it is
a bit easier with gsubfn than with the other matching tools.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healt
...@imail.org
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Denis Kazakiewicz
> Sent: Friday, February 04, 2011 6:26 AM
> To: Marc Schwartz
> Cc: R-help
> Subject: Re: [R] recode according to
On Feb 4, 2011, at 8:26 AM, Denis Kazakiewicz wrote:
Dear R people
Could you please help
I have similar but opposite question
How to reshape data from DF.new to DF from example, Mark kindly
provided?
Well, I don't think you want a random order, right? If what you are
asking is for a singl
Dear R people
Could you please help
I have similar but opposite question
How to reshape data from DF.new to DF from example, Mark kindly
provided?
Thank you
Denis
On Пят, 2011-02-04 at 07:09 -0600, Marc Schwartz wrote:
> On Feb 4, 2011, at 6:32 AM, D. Alain wrote:
>
> > Dear R-List,
> >
> >
Do you mean something like:
> with(DF.new, paste(person, year, paste("team", team, sep = ""), sep = "_"))
[1] "jeff_2001_teamx" "jeff_2002_teamy" "robert_2002_teamz"
[4] "mary_2002_teamz" "mary_2003_teamy"
?
See ?paste and ?with for more information, if so.
HTH,
Marc
On Feb 4, 2011, a
On Feb 4, 2011, at 6:32 AM, D. Alain wrote:
> Dear R-List,
>
> I have a dataframe with one column "name.of.report" containing character
> values, e.g.
>
>
>> df$name.of.report
>
> "jeff_2001_teamx"
> "teamy_jeff_2002"
> "robert_2002_teamz"
> "mary_2002_teamz"
> "2003_mary_teamy"
> ...
> (i.
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