Wensui Liu gmail.com> writes:
: transpose, data export and import, format, date & time handle, and so
Regarding just the date and time classes part of your question, an
article in R News 4/1 discusses that.
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R-help@stat.math.ethz.ch mailing list
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> From: Wensui Liu
>
> I am sorry that I did not state my question clearly.
>
> What I mean by data manipulation includes sort, merge, aggregate,
> transpose,
R has functions for doing those: sort(), merge(), aggregate(), and t(),
respectively.
> data export and import, format, date & time han
Wensui,
Here is an answer from a different perspective.
Reading between the lines, you may be involved in
'remedial' data preparation at times. Depending on
exactly what kind of tasks you are talking about you
MAY be well advised to work in a database--that is why
they exist. It just depends on wh
On 12 March 2005 at 15:42, Wensui Liu wrote:
| I am sorry that I did not state my question clearly.
|
| What I mean by data manipulation includes sort, merge, aggregate,
| transpose, data export and import, format, date & time handle, and so
| on, which might be not important to statistician.
R
On Saturday 12 March 2005 14:42, Wensui Liu wrote:
> I am sorry that I did not state my question clearly.
>
> What I mean by data manipulation includes sort, merge, aggregate,
> transpose, data export and import, format, date & time handle, and so
> on, which might be not important to statistician.
I am sorry that I did not state my question clearly.
What I mean by data manipulation includes sort, merge, aggregate,
transpose, data export and import, format, date & time handle, and so
on, which might be not important to statistician.
I have use SAS and SPSS for a while and really want to us
Hallo,
Am Samstag, 12. März 2005 15:08 schrieb Wensui Liu:
> In real world, data manipulation might take even longer time and
> more effort than statistical analysis and modeling.
>
> Does anyone know a good book and tutorial about data manupulation?
> Thank you so much.
Well, it would be much ea
