[R] using ifelse with surprising results

[Christos Hatzis]

Try the following instead:

vegdata.dd[is.na(vegdata.dd)] <- 0.01

-Christos

> -----Original Message-----
> From: r-help-bounces at r-project.org 
> [mailto:r-help-bounces at r-project.org] On Behalf Of 
> Steve_Friedman at nps.gov
> Sent: Friday, October 17, 2008 4:50 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] using ifelse with surprising results
> 
> 
> Thanks for the gracious assistance in advance
> 
> I'm working on a non-metric scaling problem and am 
> calculating the distance for input to isoMDS
> 
> Here is the code
> 
> library(MASS)
> vegdata <- tapply(Percent, list(PRIMARY_VE, MASTERID), sum) 
> x.mat <- matrix(x, nrow=40, ncol=2750, byrow=TRUE, dimnames = 
> c(dimnames(x)[1], dimnames(x)[2]))
> 
> 
>  vegdata.dd <- dist(x)
>  vegdata.dd <- ifelse(vegdata.dd==NA, 0.01, x.dd)
>   vegdata.dd
> 
> Everything works as expected until I try to replace the NA 
> values in the distance matrix.
> the ifelse statement converts the entire dataset to NA.
> 
> What am I doing incorrectly?
> 
> Once again, Thanks
> 
> Steve
> 
> 
> Steve Friedman Ph. D.
> Spatial Statistical Analyst
> Everglades and Dry Tortugas National Park 950 N Krome Ave 
> (3rd Floor) Homestead, Florida 33034
> 
> Office (305) 224 - 4282
> Steve_Friedman at nps.gov
> 
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