On 01/06/2014 11:14 AM, Sarah Goslee wrote:
Hi Walter,
I can't reproduce your results. Please provide some data that
demonstrates the problem.
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
subset() and [ differ in their handling of NA values, and you don't
need the dd$ in the arguments to subset().
But those don't explain your result given the information provided.
Please provide more information.
Sarah
On Mon, Jan 6, 2014 at 12:06 PM, Walter Anderson <wandrso...@gmail.com> wrote:
I have a data frame that I am extracting some records from and noticed the
following issue
I originally used tmp <- subset(dd, dd$EVYEAR==2012 & dd$EVMONTH=='02')
and noticed that I wasn't ending up with all of the records I should have;
however, when I used
tmp <- dd[dd$EVYEAR==2012 & dd$EVMONTH=='02',]
I did get all of the records I should have.
I thought the two forms were equivalent, am I mistaken?
Thanks everyone for the response. I didn't provide a reproducible test,
since the data I experienced this issue with was quite large (> 40MB)
and I have not been able to reproduce the problem with any other data
set. I have also performed the subset using Microsoft Access on the
original dbf file I use for the data frame and confirmed that the second
query format (dd[QUERY,]) is producing the correct results. It doesn't
appear that any of the impacted (or any in the data frame) contain NA
records.
I am not really looking for any particular solution, but was surprised
by the different results from what I presumed to be the same query. If
it is believed to be a possible bug, I would be glad to package up the
data that is generating the issue, but not sure where to place such a
large data set.
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