Dear Professor Wood,
Thank you for taking the time to fix the problem.
On Thu, Sep 22, 2016 at 4:25 PM, Simon Wood <simon.w...@bath.edu> wrote:
> Hi Fotis,
> Thanks for the report, and sending me the data and code (off list). The
> problem is triggered by 'ctrial' being a (one column) matrix. An immediate
> fix is
> data_a$ctrial <- as.numeric(data_a$ctrial)
> - mgcv 1.8-16 will catch the problem automatically internally.
> On 20/09/16 17:22, Fotis Fotiadis wrote:
>> Hi all
>> I am using the bam function of the mgcv package to model behavioral data
>> a learning experiment. To model individual variation in learning rate, I
>> testing models with (a) by-participant random intercepts of trial, (b)
>> by-participant random slopes and random intercepts of trial, and (c)
>> by-participant random smooth terms.
>> While all (a) and (c) models converge, I am getting an error for every
>> possible variation of a model with random intercepts and random slopes.
>> m1.rs<-bam(acc~ 1 + igc + s(ctrial) + s(sbj, bs="re") + s(ctrial, sbj,
>> bs="re") , data=data_a, family=binomial)
>> Error in G$smooth[[i]]$first.para:G$smooth[[i]]$last.para :
>> argument of length 0
>> Any idea on what that error might be?
>> Thank you in advance for your time.
>> P.S.: R version: 3.3.1, mgcv version: 1.8.15
> Simon Wood, School of Mathematics, University of Bristol BS8 1TW UK
> +44 (0)117 33 18273 http://www.maths.bris.ac.uk/~sw15190
Department of Philosophy and History of Science
University of Athens, Greece.
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