Just install the updated library over the old one and start a new R session.
Devtools can be helpful for some things, but when I last looked at it I was
having more difficulty with getting documentation right than debugging code,
which I can do using normal function development processes, so I w
http://cran.r-project.org/web/packages/devtools/index.html
Michael
On Tue, Jan 17, 2012 at 6:51 PM, Jonas Stein wrote:
>> Look at Hadley Wickham's devtools package. It is designed with this
>> sort of thing. That said, it really is not too difficult to install
>> as long as you have a working
> I don't believe you can. However, you need not install it into a system-wide
> library directory... your personal library (e.g.
> /home/jonas/R/x86_64-pc-linux-gnu-library/2.14) should be sufficient.
Finally i created a new testuser to install the library locally as you wrote.
It works. Thank
> Look at Hadley Wickham's devtools package. It is designed with this
> sort of thing. That said, it really is not too difficult to install
> as long as you have a working tool chain (which you will need to test
> it anyway).
I cound not find it with google and found no "devtools" on this page
Did not fully read the without installing it part.
Mea Culpa,
Ken
On Jan 15, 2012, at 8:56 PM, Jeff Newmiller wrote:
> I don't believe you can. However, you need not install it into a system-wide
> library directory... your personal library (e.g.
> /home/jonas/R/x86_64-pc-linux-gnu-li
I don't believe you can. However, you need not install it into a system-wide
library directory... your personal library (e.g.
/home/jonas/R/x86_64-pc-linux-gnu-library/2.14) should be sufficient.
---
Jeff Newmiller
install.packages('pathtotargz',
repos=FALSE)
I believe that will get you going.
Hope that's helpful,
Ken
On Jan 15, 2012, at 8:33 PM, Joshua Wiley wrote:
> Hi Jonas,
>
> Look at Hadley Wickham's devtools package. It is designed with this
> sort of thing. That said, it really is not too
Hi Jonas,
Look at Hadley Wickham's devtools package. It is designed with this
sort of thing. That said, it really is not too difficult to install
as long as you have a working tool chain (which you will need to test
it anyway).
R CMD INSTALL /tmp/sitools
R
require(sitools)
and away you go testi
Hi,
how can i play around with my first selfwritten package [*]
without to install it to my debian system?
I think of something like doing this:
/tmp/$ R
R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
> library(/tmp/sitools)
3 * k
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