Thanks Jim,
I acted on your suggestion and found the result unchanged. :-( Then I
noticed that fitdist doesn't like a sample size of 1 either.
If, then, "drop = TRUE" results in all empty combinations of m_id, year and
week being excluded, then (noticing the requirement is actually that the
sam
OK, here is a stripped down variant of my code. I can run it here
unchanged (apart from the credentials for connecting to my DB).
Sys.setenv(MYSQL_HOME='C:/Program Files/MySQL/MySQL Server 5.0')
> library(TSMySQL)
> library(plyr)
> library(fitdistrplus)
> con <- dbConnect(MySQL(), user="rejbyers
try 'drop=TRUE' on the split function call. This will prevent the
NULL set from being sent to the function.
On Mon, Jul 12, 2010 at 3:10 PM, Ted Byers wrote:
> >From the documentation I have found, it seems that one of the functions from
> package plyr, or a combination of functions like split a
Your code is not reproducible. Can you come up with a small example
showing the crux of your data structures/problem, that we can all run in
our R sessions? You're likely get much higher quality responses this way.
Ted Byers wrote:
From the documentation I have found, it seems that one of th
>From the documentation I have found, it seems that one of the functions from
package plyr, or a combination of functions like split and lapply would
allow me to have a really short R script to analyze all my data (I have
reduced it to a couple hundred thousand records with about half a dozen
recor
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