[R] RODBC and Date/Time variables

[Gabor Grothendieck]

Without any code in your post (see last line of every post to r-help)
its impossible to really know what you are doing but here is an
example:


library(RODBC)
channel <- odbcConnect("db01") # existing data base

# add a table with a datetime field
sqlQuery(channel, "create table table02 (field01 datetime, field02 integer)")

# insert a row of data into it
sqlQuery(channel,
  'insert into table02 (field01, field02) values ("2002-12-22 12:35:44", 10)')

# look at the data
sqlQuery(channel, "select * from table02")

# the datetime field is POSIXct in R
str(.Last.value)

odbcClose(channel)


On 5/28/07, David Scott <d.scott at auckland.ac.nz> 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
> Phone: +64 9 373 7599 ext 86830         Fax: +64 9 373 7000
> Email:  d.scott at auckland.ac.nz
>
> Graduate Officer, Department of Statistics
> Director of Consulting, Department of Statistics
>
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