I have a rather large data set (about 30 predictor variables) I need to preform a logistic regression on this data. My response variable is binary. My code looks like this: mylogit <- glm(Enrolled ~ A + B + C + ... + EE, data = data, family = binomial(link="logit")) with A,B,C, ... as my predictor variables. Some categorical, some continuous, some binary. I run the code and get this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Any ideas on how to fix this? I am fairly new to R so Im guessing there is something missing/wrong in my logit code. Thanks! -- View this message in context: http://r.789695.n4.nabble.com/Error-in-contrasts-message-when-using-logistic-regression-code-tp4647198.html Sent from the R help mailing list archive at Nabble.com.
Error in contrasts message when using logistic regression code.
4 messages · Marc Schwartz, hoguejm, David Winsemius
On Oct 23, 2012, at 1:43 PM, hoguejm <hoguejm at gmail.com> wrote:
I have a rather large data set (about 30 predictor variables) I need to preform a logistic regression on this data. My response variable is binary. My code looks like this: mylogit <- glm(Enrolled ~ A + B + C + ... + EE, data = data, family = binomial(link="logit")) with A,B,C, ... as my predictor variables. Some categorical, some continuous, some binary. I run the code and get this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Any ideas on how to fix this? I am fairly new to R so Im guessing there is something missing/wrong in my logit code. Thanks!
More than likely, one or more of your categorical variables are not set up as factors, or if they are, then one or more have only a single factor level present in the dataset that is used for the model, thus are constant. You might want to run: # see ?str str(data) and: # see ?summary summary(data) to get a sense of the structure of your data set (to make sure that you have factors and not character vectors) and to get a sense for the distribution of your IVs. Regards, Marc Schwartz
How to change categorical vars to factors. I am very new at R Thanks -- View this message in context: http://r.789695.n4.nabble.com/Error-in-contrasts-message-when-using-logistic-regression-code-tp4647198p4647226.html Sent from the R help mailing list archive at Nabble.com.
On Oct 23, 2012, at 1:57 PM, hoguejm wrote:
How to change categorical vars to factors.
There is nio such thing as a "categorical var" in R, although the closest thing to one is a factor class vector. If you have either numeric or character vectors and you want them to become factors: facvar <- factor(oldvar)
I am very new at R
Yes. Consider abandoning Nabble. And do read the Posting Guide.
View this message in context: http://r.789695.n4.nabble.com/Error-in-contrasts-message-when-using-logistic-regression-code-tp4647198p4647226.html Sent from the R help mailing list archive at Nabble.com.
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David Winsemius, MD Alameda, CA, USA