We may just read them in the R console instead of an external editor,
and "fix()" or "edit()" them when we need to make any modifications. A
trivial advantage of saving them as an image file in Windows is that
you can double-click the file and R will be started with these objects
loaded automatically. Anyway, to save the functions as ASCII files or
even write a package are also good solutions :-)
Regards,
Yihui
On Thu, Sep 11, 2008 at 10:34 PM, Adaikalavan Ramasamy
<[EMAIL PROTECTED]> wrote:
> I would recommend saving the functions into a separate file and then using
> source() as bartjoosen suggested.
>
> I do not recommend using save() here because the output is non-readable
> (even when using ascii=TRUE option). Which means that you have to load() it,
> then copy-and-paste into an editor before making changes and then running it
> again in R and then save() again.
>
> Another better option is to consider making your own package. It may sound
> complicated but once you mastered it, it makes your functions more portable
> and encourages you to document it. Further, the function package.skeleton()
> simplifies much of it.
>
> Regards, Adai
>
>
>
> Yihui Xie wrote:
>>
>> Hi, you may save your functions somewhere on your disk using "save()"
>> and load them next time when you want to use them. See ?save and ?load
>>
>> Yihui
>>
>> On Thu, Sep 11, 2008 at 9:30 PM, <[EMAIL PROTECTED]> wrote:
>>>
>>> Hello,
>>>
>>> I am trying to use self created functions in other scripts than the one
>>> where they are stored.
>>> For the moment I am using the following structure of commands to do
>>> that:
>>>
>>> 1. Load the text file with the functions in the current script:
>>> x=parse("path")
>>> 2. transform the tex in a function: f1=eval(x[1]), f2=eval(x[2]) if more
>>> than one function is stored in the text file
>>> 3. use the functions as normal
>>>
>>> Is there another possibility to do the same?
>>> Thank you,
>>>
>>> Mihai Mirauta
>>>
>>> [[alternative HTML version deleted]]
>>>
>>
>
>
--
Yihui Xie <[EMAIL PROTECTED]>
Phone: +86-(0)10-82509086 Fax: +86-(0)10-82509086
Mobile: +86-15810805877
Homepage: http://www.yihui.name
School of Statistics, Room 1037, Mingde Main Building,
Renmin University of China, Beijing, 100872, China
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