[R] Viewing a large data frame (was How to prevent fix() from converting Dates into numeric)

[Prof Brian Ripley]

See ?View for your new question (and please change the subject line when 
you change the subject: see the R posting guide)

You could also have used e.g. format() on the data frame before calling 
fix() if all you want to do was to view it.

On Sat, 8 Dec 2007, Christian Gold wrote:

> Thanks. So there is no solution, other than avoiding fix() and edit()?
> What would then be the recommended way to make visible and inspect large 
> data.frames (i.e. that are to big for sensibly displaying on the console)? 
> Would I need to write the data to a file and open in a spreadsheet programme?
>
> Christian
>
>
>
> Prof Brian Ripley wrote:
>> fix on a data frame calls edit: see ?edit.data.frame.  The help for fix 
>> does say
>>
>>   Editing an \R object may change it in ways other than are obvious: see
>>   the comment under \code{\link{edit}}.
>> 
>> The simple answer is not to use fix() or edit() on other than the data 
>> frames they are documented to work on.
>> 
>> On Fri, 7 Dec 2007, Christian Gold wrote:
>> 
>>> Dear list members
>>> 
>>> Here is a strange problem that I have had for a long time, without
>>> finding out how to solve it. Whenever I use fix() on a data.frame that
>>> contains Dates, these are converted to numerics. As shown by the very
>>> simple example:
>>> 
>>> a <- data.frame(var1 = 1, today = Sys.Date() )
>>> a
>>> fix(a)
>>> a
>>> 
>>> Why is that? And can anything be done against it?
>>> 
>>> Many thanks for your help!
>>> 
>>> Best,
>>> 
>>> Christian Gold
>>> www.uib.no/people/cgo022
>>> 
>>> ______________________________________________
>>> R-help at 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.
>>> 
>> 
>

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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