I have frequently used RPART without problems. However, I've started to
encounter a problem with RPART detecting NAN's in my data even though
I don't appear to have any in the variables I'm using. Any suggestions on
"debugging" my data appreciated.
> quick <- data.frame(bpd24, wt.4, bpd1, bpd12)
> summary(quick)
bpd24 wt.4 bpd1 bpd12
Min.: 41.00 Min.: 61.00 Min.: 48.00 Min.: 48.00
1st Qu.: 70.00 1st Qu.: 88.80 1st Qu.: 72.00 1st Qu.: 71.00
Median: 80.00 Median: 98.50 Median: 80.00 Median: 80.00
Mean: 78.47 Mean: 99.58 Mean: 79.05 Mean: 78.71
3rd Qu.: 85.00 3rd Qu.:109.10 3rd Qu.: 85.00 3rd Qu.: 85.00
Max.:120.00 Max.:155.50 Max.:120.00 Max.:120.00
NA's:710.00 NA's: 20.00 NA's: 30.00 NA's:403.00
> fit.bpd <- rpart(bpd24 ~ wt.4 + bpd1 + bpd12, control = rpart.control(cp =
0.005))
Error in .C("s_to_rp",: subroutine s_to_rp: 126 NaN value(s) in argument 10
Dumped
Chris Barker
Principal Pharmacoeconomic Statistician
Roche Pharma Business - Palo Alto
(650)-852-3152
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