symbol not subsettable still problematic on simple nlmer call [SEC: UNCLASSIFIED]
Hi Michelle, that's a confusing problem. I'm happy to knock it around with you offline, if you want to contact me at this email. Cheers Andrew
On Fri, Dec 09, 2011 at 09:19:53AM +1100, Gosse, Michelle wrote:
Hi all,
I've done some testing this morning to see what is triggering my error "Error: object of type 'symbol' is not subsettable" and even running the simplest (incorrect form):
nlmer(RESPONSE ~ BOXCOXXY,
+ data=data0)
Produces the same error, suggesting the issue lies with the pass from the data frame into nlmer.
traceback() results are the same as yesterday, stopping at the same point:
5: notnull(x$formula)
4: formula.default(object, env = baseenv())
3: formula(object, env = baseenv())
2: as.formula(formula[[2]])
1: nlmer(RESPONSE ~ BOXCOXXY, data = data0)
I have tested data0 with is.data.frame(data0) and received the result TRUE just to make sure I hadn't done anything silly with the data frame construction.
I'm mystified to the underlying problem.
In case it helps, here is the result to objects()
[1] "Agegrp4Coeff" "Agegrp5Coeff" "Agegrp6Coeff" "Agegrp7Coeff" "Agegrp8Coeff" "data0" "lambda_value" "parmsg2" "parmsg2_gee" "Race1Coeff" "Race3Coeff" "random2" "Scale" "SeqCoeff" "WeekendCoeff"
And the result of search() is:
[1] ".GlobalEnv" "package:lme4" "package:Matrix" "package:lattice" "package:geepack" "package:MASS" "package:stats" "package:graphics" "package:grDevices" "package:utils" "package:datasets"
[12] "package:methods" "Autoloads" "package:base"
I'm running 64-bit R 2.14.0 on a networked computer, accessing a server remotely via Vmware, in a Windows 7 environment.
Cheers
Michelle
UNCLASSIFIED
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Andrew Robinson Deputy Director, ACERA Department of Mathematics and Statistics Tel: +61-3-8344-6410 University of Melbourne, VIC 3010 Australia (prefer email) http://www.ms.unimelb.edu.au/~andrewpr Fax: +61-3-8344-4599 http://www.acera.unimelb.edu.au/ Forest Analytics with R (Springer, 2011) http://www.ms.unimelb.edu.au/FAwR/ Introduction to Scientific Programming and Simulation using R (CRC, 2009): http://www.ms.unimelb.edu.au/spuRs/