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.
Generalized Linear Model
4 messages · Megan, Alexander Engelhardt, Kehl Dániel +1 more
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.
1 day later
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.