R help - Apr 2011 - Generalized Linear Model

Hello,

I am trying to run a generalized linear model but do not know where to
begin. I have attached my data to R but do not know where to go from there.
I have two independent variables (each has two factors associated with them)
and two dependent variables, each with either a yes/no response which I've
valued either 0 or 1 in the data set. Any input would be greatly
appreciated. 

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Am 25.04.2011 21:28, schrieb Megan:
> Hello,
>
> I am trying to run a generalized linear model but do not know where to
> begin. I have attached my data to R but do not know where to go from there.
> I have two independent variables (each has two factors associated with
them)
What do you mean by this? You have two input variables, who are binary, 
meaning yes/no (or male/female, high/low, ...) variables?
> and two dependent variables, each with either a yes/no response which
I've
> valued either 0 or 1 in the data set. Any input would be greatly
> appreciated.
If your dependent variable is binary, you might want to google for 
"logistic regression" (this belongs to generalized linear models). The
R-function who handles this is glm(), with the parameter family=binomial().

Have fun,
  Alex

Hi!

Try to read about the glm function, type:

?glm

in your R editor. It looks like you have contingency tables, maybe a 
loglin model would be good to start with.

D

2011-04-25 12:28 keltez?ssel, Megan ?rta:
> Hello,
>
> I am trying to run a generalized linear model but do not know where to
> begin. I have attached my data to R but do not know where to go from there.
> I have two independent variables (each has two factors associated with
them)
> and two dependent variables, each with either a yes/no response which
I've
> valued either 0 or 1 in the data set. Any input would be greatly
> appreciated.
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Generalized-Linear-Model-tp3473924p3473924.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.
>
>

Because you have two dependent variables, you'll want to to use a
multivariate logit. mlogit does this, but I don't know the syntax off
hand.

If you just wanted to look at one dependent variable, it would be the
following (which Alex said)

glm(y~x1*x2,family='binomial')

On Mon, Apr 25, 2011 at 3:28 PM, Megan <aforkonaplate at hotmail.com>
wrote:
>
> Hello,
>
> I am trying to run a generalized linear model but do not know where to
> begin. I have attached my data to R but do not know where to go from there.
> I have two independent variables (each has two factors associated with
them)
> and two dependent variables, each with either a yes/no response which
I've
> valued either 0 or 1 in the data set. Any input would be greatly
> appreciated.
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Generalized-Linear-Model-tp3473924p3473924.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.