R help - Nov 2013 - Error message glmer using R: “ 'what' must be a character string or a function”

I am running a multi-level model. I use the following commands with
validatedRS6 as the outcome, random as the predictor and clustno as the
random effects variable.

new<-as.data.frame(read.delim("BABEX.dat", header=TRUE))
install.packages("lme4")
library(lme4)
model1<- glmer(validatedRS6 ~ random + (1|clustno), data=new,
family=binomial("logit"), nAGQ)

However, I get the following error

Error in do.call(new, c(list(Class = "glmResp", family = family),
ll[setdiff(names(ll), : 'what' must be a character string or a function

I have absolutely no idea what has gone wrong and have searched the
internet. I am sorry but I cannot provide the data as it is from an
intervention which has yet to be published.

Many thanks

Emma




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On Nov 5, 2013, at 3:36 PM, EmmaB wrote:
> I am running a multi-level model. I use the following commands with
> validatedRS6 as the outcome, random as the predictor and clustno as the
> random effects variable.
> 
> new<-as.data.frame(read.delim("BABEX.dat", header=TRUE))
> install.packages("lme4")
> library(lme4)
> model1<- glmer(validatedRS6 ~ random + (1|clustno), data=new,
> family=binomial("logit"), nAGQ)
> 
> However, I get the following error
> 
> Error in do.call(new, c(list(Class = "glmResp", family = family),
> ll[setdiff(names(ll), : 'what' must be a character string or a
function
> 
> I have absolutely no idea what has gone wrong and have searched the
> internet. I am sorry but I cannot provide the data as it is from an
> intervention which has yet to be published.
You at least need to post the output of str(new).

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> View this message in context:
http://r.789695.n4.nabble.com/Error-message-glmer-using-R-what-must-be-a-character-string-or-a-function-tp4679829.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius
Alameda, CA, USA

> str(new)
'data.frame':   1214 obs. of  4 variables:
 $ ?..VAR00001 : logi  NA NA NA NA NA NA ...
 $ random      : int  1 1 1 1 1 1 1 1 1 1 ...
 $ clustno     : int  1 1 1 1 1 1 1 1 1 1 ...
 $ validatedRS6: int  0 0 0 0 0 0 0 0 0 0 ...



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