eva,

The problem is that the random effects and correlation structure that you have specified don't meet the restrictions required by lme (which gamm calls). You can see this by trying

M0 <-lme(H ~ Tillage , random=list(Block=~1), na.action=na.omit, data = mydata, correlation = corARMA(form =~ Year|Tillage, p = 1, q = 0))

which will fail because you have multiple observations of Year for each level of Tillage, and because the random effect and correlation formulae are incompatible.

The multiple years problem could perhaps be solved by
  corARMA(form =~ Year|Tillage/Block, p = 1, q = 0)
if that makes modelling sense?

A couple of possible fixes are then...

M1 <-gamm(H ~ Tillage + s(Year, by =Tillage), random=list(Tillage=~1,Block=~1), na.action=na.omit, data = mydata, correlation = corARMA(form =~ Year|Tillage/Block, p = 1, q = 0))

or, if you really don't want that r.e. structure, then

M2 <-gamm(H ~ Tillage + s(Year, by =Tillage)+s(Block,bs="re"), na.action=na.omit, data = mydata, correlation = corARMA(form =~ Year|Tillage/Block, p = 1, q = 0))

[I've assumed that the mapping between this message and the data you sent off list is DepVar=H, Treatment=Tillage]

best,
Simon


On 17/02/12 09:35, HERNANDEZ PLAZA, MARIA EVA wrote:


HELLO ALL,

I AM GETTING AN ERROR MESSAGE WHEN TRYING TO RUN A GAMM MODEL LIKE THE ONE 
BELOW.

  I AM USING R VERSION 2.14.1 (2011-12-22) AND MGCV 1.7-12.

M1<-gamm(DepVar ~ Treatment + s(Year, by =Treatment), random=list(Block=~1), 
na.action=na.omit, data = mydata, correlation = corARMA(form =~ Year|Treatment, p 
= 1, q = 0))

THIS IS THE ERROR MESSAGE

Error in `*tmp*`[[k]] : attempt to select less than one element

I have 312 observations. I get the error when I introduce the correlation 
structure in the model. I have the same problem even if I use /corAR1() /or I 
set bs=�cr�. I also tried to increase the number of iterations using the 
control option, but I find the same problem.

Is there any other way in which I could include the correlation structure?

I would appreciate any suggestions

thanks!

eva
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Simon Wood, Mathematical Science, University of Bath BA2 7AY UK
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