[R] RODBC and Date/Time variables

Prof Brian Ripley ripley at stats.ox.ac.uk
Mon May 28 14:56:25 CEST 2007


I do this by having a POSIXct variable in R and using sqlSave in RODBC to 
write the SQL table.  Examples are part of my test suite, so I am sure 
they do work.

It is not at all clear how you are trying to import the data into MySQL.


On Tue, 29 May 2007, David Scott wrote:

>
> This is really a query about MySQL which I am trying to use to set up a
> database which I will then access with RODBC.
>
> I have my data in a .csv file, and some of the fields are date/time
> fields. I tried to create a table using mysql with the definition of the
> date/time field given by
>
> CallDate DATETIME,
>
> but I got an error saying that the first row has
> 28/07/2006 0:00
> in that field. What I don't understand is if I open up the .csv file
> using XEmacs and look at that datum I see
> 2006-07-28 00:00:00
> which mysql should accept as a DATETIME value.
>
> If I specify that the field is text with
>
> CallDate CHAR(19),
>
> then I can create the table without a problem. Then when I issue a query
> and obtain the value of the field in the first row RODBC gives me
>
> 28/07/2006 0:00
>
> which I guess doesn't surprise me.
>
> Can anybody offer an explanation, and also can anybody advise how to read
> the field in as a DATETIME type in MySQL?
>
> I have some other date fields too which in XEmacs show as for example
> 18/01/2007
>
> My understanding is I can't read those into a MySQL table as type DATE.
> Can anyone offer some advice on that?
>
> Some details:
> Windows XP, R 2.4.1, RODBC 1.1-9, MySQL 5.0.41
>
> Thanks in advance
>
> David Scott
>
>
> _________________________________________________________________
> David Scott	Department of Statistics, Tamaki Campus
> 		The University of Auckland, PB 92019
> 		Auckland 1142,    NEW ZEALAND
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>
> Graduate Officer, Department of Statistics
> Director of Consulting, Department of Statistics
>
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-- 
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)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595



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