On Wed, Jul 22, 2009 at 10:18 PM, Josh Roll wrote:
> In `[<-.factor`(`*tmp*`, Props_$pct_vacant == "#NULL!", value = 0) :
> invalid factor level, NAs generated
>
> Thats what made me wonder if the "#NULL!" value was being treated
> differently than a typical "NULL" value. Thoughts?
I would lik
On Fri, Jul 17, 2009 at 10:37 PM, PDXRugger wrote:
> So i need to replace the the #NULL! with 0. I have tried:
>
> Props_pct_vacant<-Props_pct_vacant[Props_$pct_vacant !="#NULL!"]
Try this instead:
Props_$pct_vacant[which(Props_$pct_vacant=="#NULL!")] = 0
--
Michael Knudsen
micknud...@gmail.c
I am stumped. I have a data set with multiple columns and about 65,000 case.
Some of the cases have a "#NULL!" value so for dataframe "Props_":
access_emp pct_vacant TAVAIL park PARKACRES totlandare
4538 52.15 #NULL! 01 22.9974,129.70400
4539 52.
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