[R-SIG-Mac] Package loading problem

[Murray Jorgensen]

[Apologies for re-sending but I copied to the wrong list address.]

Oh! Well, yes, I did mean .tgz, but I had vague thoughts that gunzip()
might be the tool that I needed and I started thinking of the files as
tar.gz. It helps to learn that they are not equivalent.

Your unix/terminal way of installing the files looks much the
preferable, but your description of the alternative helps me see how the
mac is organised.

Thanks again,  Murray

Simon Urbanek wrote:
> 
> On Jan 18, 2010, at 15:34 , Murray Jorgensen wrote:
> 
>> Hi Simon,
>>
>> my Mac or Unix skills are not that great so I need a few more clues 
>> with my problem. I read you as suggesting that my tar.gz
> 
> Stop here - are you talking about .tgz of .tar.gz? There is a huge 
> difference! In the previous e-mail you talked about .tgz which are 
> binaries, but .tar.gz are sources!
> 
> 
>> package files be uncompressed somehow and then placed somewhere and 
>> possibly somehow letting R know that this has been done.
>>
>> I think that I may need a little more help with the "somehow", 
>> "somewhere" and "possibly somehow".
>>
> 
> In a very non-unix way (not recommended but it works for now): get the 
> tgz files, double-click on them (I'm assuming you're in Finder) so they 
> get unpacked (it's probably a good idea to do that on a clean desktop or 
> a clean directory). Then open another Finder window an navigate to 
> /Library/Frameworks/R.framework/Resource/library (you should see 
> directories like base, codetool, datasets, ..) and drag the unpacked 
> packages from the first window into this one.
> 
> The unix way (recommended) - go to the directory containing the .tgz 
> files (in Terminal) and type:
> R
> install.packages(list.files(,"tgz$"),repos=NULL)
> 
> Cheers,
> Simon
> 
> 
>>
>> Cheers,  Murray Jorgensen
>>
>> Simon Urbanek wrote:
>>> On Jan 13, 2010, at 6:17 , Murray Jorgensen wrote:
>>>> Thanks, Simon.
>>>>
>>>> But "Local Binary Package" seems to only accept a single package 
>>>> selection and I want the lot. This would seem to be very very slow 
>>>> to load this way.
>>>>
>>> Yes, because it's designed for something entirely different -- 
>>> installing single development package from its sources (developers 
>>> often do that for testing so they don't have to pack it up in the 
>>> first place).
>>>> What I wish to do is to download the package files on one machine 
>>>> (actually an external drive connected to a PC) and then connect the 
>>>> drive to the Mac and install them from the drive.
>>>>
>>> Well, then why don't you simply unpack them all into your library? 
>>> That's the fastest and simplest way ...
>>> Cheers,
>>> Simon
>>>>
>>>>
>>>> Simon Urbanek wrote:
>>>>> On Jan 12, 2010, at 16:33 , Murray Jorgensen wrote:
>>>>>> Hi
>>>>>>
>>>>>> I have downloaded and installed R 2.10.1 to my Mac running OS X 
>>>>>> 10.5.8.
>>>>>>
>>>>>> Hardware Overview:
>>>>>>
>>>>>> Model Name:    iMac
>>>>>> Model Identifier:    iMac7,1
>>>>>> Processor Name:    Intel Core 2 Duo
>>>>>> Processor Speed:    2.4 GHz
>>>>>> Number Of Processors:    1
>>>>>> Total Number Of Cores:    2
>>>>>> L2 Cache:    4 MB
>>>>>> Memory:    1 GB
>>>>>> Bus Speed:    800 MHz
>>>>>> Boot ROM Version:    IM71.007A.B03
>>>>>> SMC Version (system):    1.20f4
>>>>>> Serial Number (system):    W87438YWX86
>>>>>> Hardware UUID:    00000000-0000-1000-8000-001B63AA8FF1
>>>>>> [In case this is relevant!]
>>>>>>
>>>>>> I have tgz files for all the packages [plus some other files] in 
>>>>>> /Applications/tgz10.1   .
>>>>>> When I attempt to use the R Package Installer and select the 
>>>>>> tzg10.1 folder as the "Local Package Directory" the result that I 
>>>>>> get is
>>>>>>
>>>>> You are using the wrong menu item - that menu is for installing 
>>>>> *package directories* i.e. packages in unpacked form. For .tgz 
>>>>> files you want to use "Local binary package". But, please, note 
>>>>> that installing packages that way is only for very, very special 
>>>>> cases - normally you should use "CRAN (binaries)" instead because 
>>>>> that takes care of dependencies, downloading, installation etc.
>>>>> Cheers,
>>>>> Simon
>>>>
>>>> -- 
>>>> Dr Murray Jorgensen      http://www.stats.waikato.ac.nz/Staff/maj.html
>>>> Department of Statistics, University of Waikato, Hamilton, New Zealand
>>>> Email: maj at waikato.ac.nz  majorgensen at ihug.co.nz        Fax 7 838 4155
>>>> Phone  +64 7 838 4773 wk    Home +64 7 825 0441   Mobile 021 0200 8350
>>>>
>>>>
>>
>> -- 
>> Dr Murray Jorgensen      http://www.stats.waikato.ac.nz/Staff/maj.html
>> Department of Statistics, University of Waikato, Hamilton, New Zealand
>> Email: maj at waikato.ac.nz                                Fax 7 838 4155
>> Phone  +64 7 838 4773 wk    Home +64 7 825 0441   Mobile 021 0200 8350
>>
>>
> 

-- 
Dr Murray Jorgensen      http://www.stats.waikato.ac.nz/Staff/maj.html
Department of Statistics, University of Waikato, Hamilton, New Zealand
Email: maj at waikato.ac.nz                                Fax 7 838 4155
Phone  +64 7 838 4773 wk    Home +64 7 825 0441   Mobile 021 0200 8350