I'm trying to use sqdf's function read.csv.sql to read CSV files in which the
missing values are represented by NA's.
Plain old read.csv works fine on these files, but they are rather large and I'd
like to filter using sql-like statements.
However, even if I specify field.types correctly and
I see the attachment didn't go through.
here is the text:
2012-07-01,15:50:00,NA,0,NA,0,NA
2012-07-01,15:51:00,NA,0,NA,0,NA
2012-07-01,15:52:00,NA,0,NA,0,NA
2012-07-01,15:53:00,NA,0,NA,0,NA
2012-07-01,15:54:00,NA,0,NA,0,NA
2012-07-01,15:55:00,NA,0,NA,0,NA
2012-07-01,15:56:00,NA,0,NA,0,NA
On Wed, Sep 5, 2012 at 5:31 PM, David Reiner david.rei...@xrtrading.com wrote:
I'm trying to use sqdf's function read.csv.sql to read CSV files in which the
missing values are represented by NA's.
Plain old read.csv works fine on these files, but they are rather large and
I'd like to filter
You will probably have to contact the maintainer of package sqldf (G.
Grothendieck ggrothendi...@gmail.com) as it appears that the package does
not support missing values. I tried stripping out the NAs so that the fields
were empty, but the results are the same. Fields specified as numeric are
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