On Thu, 17 Feb 2005, Stephen Choularton wrote:
I am working with a largish dataset of 25k lines and I am now tying to
use predict.
pred = predict(cuDataGlmModel, length + meanPitch + minimumPitch +
maximumPitch + meanF1 + meanF2 + meanF3 + meanF4 + meanF5 +
ratioF1ToF2 + rationF3ToF1 + jitter + shimmer + percentUnvoicedFrames
+ numberOfVoiceBreaks + percentOfVoiceBreaks + meanIntensity +
minimumIntensity + maximumIntensity + ratioIntensity + noSyllsIntensity
+ startSpeech + syllables)
I keep on getting this error message
Error in eval(expr, envir, enclos) : numeric envir arg not of length one
To be quite frank I am at a bit of a loss to know where to start looking
to solve the problem.
`To be quite frank' so are we! You have not told us the class of model,
or where you got the idea than its predict method has a sum (not a
formula) as second argument, nor given us code to reproduce this nor used
traceback().
Some reading of the help page for the predict() method was suggested by
the posting guide, and at a guess, try ?predict.glm.
Most predict() methods require a data frame as their second argument.
One might also question the inconsistency of `ratioF1ToF2 + rationF3ToF1'.
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax: +44 1865 272595
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