[R] Multinomial Logit Model with lots of Dummy Variables

[ghpow1]

Hi 

Thanks to Jeremy for his response...

I have been able to generate the factors and generate mlogit data using his
code:

mldata<-mlogit.data(mydata, varying=NULL, choice="pitch_type_1",
shape="wide")

my mlogit data looks like:

"dependent_var","A variable","B Var","chid","alt"
FALSE,"110","19",1,"0"
FALSE,"110","19",1,"1"
FALSE,"110","19",1,"2"
FALSE,"110","19",1,"3"
FALSE,"110","19",1,"4"
TRUE,"110","19",1,"5"
FALSE,"110","19",1,"6"
FALSE,"110","19",1,"7"
FALSE,"110","19",1,"8"
FALSE,"110","19",2,"0"
FALSE,"110","19",2,"1"
FALSE,"110","19",2,"2"
FALSE,"110","19",2,"3"
FALSE,"110","19",2,"4"
FALSE,"110","19",2,"5"
TRUE,"110","19",2,"6"
FALSE,"110","19",2,"7"
FALSE,"110","19",2,"8"
TRUE,"110","561",3,"0"
FALSE,"110","561",3,"1"
FALSE,"110","561",3,"2"
FALSE,"110","561",3,"3"
FALSE,"110","561",3,"4"
FALSE,"110","561",3,"5"
FALSE,"110","561",3,"6"
FALSE,"110","561",3,"7"
FALSE,"110","561",3,"8"
FALSE,"110","149",4,"0"
FALSE,"110","149",4,"1"
TRUE,"110","149",4,"2"

...

The mldata contains 651431 rows.  

If I try to run this full data set I get the following error:  


> mlogit.model<- mlogit(dependent_var~0|A+B, data = mldata, reflevel="0")
Error in model.matrix.default(formula, data) :
  allocMatrix: too many elements specified
Calls: mlogit ... model.matrix.mFormula -> model.matrix ->
model.matrix.default
Execution halted

Smaller datasets (595 mldata rows) and mlogit works fine and generates
regression output.  

Is there a problem with mlogit and huge datasets?  

I suppose this is perhaps not the best way to assess this kind of data, but
I am trying to replicate a previous analysis that was completed on a similar
amount of similar data.




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