Hi.
Depending on your requirements, one option would be to do the join in
R using merge()
If you wish to run SQL joins across multiple databases, then it is not
an R problem but a database problem. For a quick solution, I would
write scripts that bring all your data together into one database
(co
Tom Schenk Jr wrote:
I use RODBC as my conduit from R to SQL. It works well when the tables are
stored on one channel, e.g.,
channel <- odbcConnect("data_base_01", uid="", dsn="")
However, I often need to match tables across multiple databases, e.g.,
"data_base_01" and "data_base_02". H
Tom Schenk Jr wrote:
I use RODBC as my conduit from R to SQL. It works well when the tables are
stored on one channel, e.g.,
channel <- odbcConnect("data_base_01", uid="", dsn="")
However, I often need to match tables across multiple databases, e.g.,
"data_base_01" and "data_base_02". H
I use RODBC as my conduit from R to SQL. It works well when the tables are
stored on one channel, e.g.,
channel <- odbcConnect("data_base_01", uid="", dsn="")
However, I often need to match tables across multiple databases, e.g.,
"data_base_01" and "data_base_02". However, odbcConnect() a
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