[R] Model Fit Statistics in a Logit Model

I'm running a logistic regression model in R. I've used both the Zelig and Car packages. However, I'm wondering if there is a simple way to get the model fit statistics for the model. (pseudo R-square, chi-square, log liklihood,etc) Thanks ___

[R] Logistic Regression in Zelig

I'm running a logit model using the zelig package in R: z.out <- zelig(trade961a ~ age962 + education962 + personal962 + economy962 + partisan962 + employment962 + union962 + home962 + market962 + race962 + income962, data=data96, model="logit") The dependent variable, trade961a, is a dichoto

[R] Question about 'logit' and 'mlogit' in Zelig

I'm running a multinomial logit in R using the Zelig packages. According to str(trade962a), my dependent variable is a factor with three levels. When I run the multinomial logit I get an error message. However, when I run 'model=logit' it works fine. any ideas on whats wrong? ## MULTINOMIAL L

[R] Zelig: Error message for 'mlogit'

I'm running a multinomial logit in R using the Zelig package. However I get the following error. HELP anes96two <- zelig(trade962a ~ age962 + education962 + personal962 + economy962 + partisan962 + employment962 + union962 + home962 + market962 + race962 + income962, model="mlogit", data=data

[R] Error message

I'm recoding variables and running a logit. Unfortunately, I get the following error. data04$V043114 part <- data04$V043114 attributes(part) summary(part) partb < part partb[part %in% levels(part)[4]] <- NA partb[part %in% levels(part)[5]] <- NA partb[part %in% levels(part)[6]] <- NA partb[p

[R] Ordered logit in R

I ran the follow code for an ordered logit, but don't know why two levels of my dependent variable are at the topic of my list of variables. I don't know why this appears, and what I'm supposed to take from them y>=0. Haven't thought much about this y>=1. Favor library(Design) two <- lrm(

[R] Ordered Logit in R

I'm trying to run an ordered logistic regression model. I've run the following code, but the output does not provide the p-values. Is there some command to include the p-values in the output. reg2 <- polr(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 + employment2 + union2 +

Re: [R] Changing an unordered factor into an ordered factor

vent thought 0 1 0 oppose 0 0 2 > table(x,xo) xo xoppose havent thought favor favor 0 0 2 havent thought 0 1 0 oppose 2

[R] Changing an unordered factor into an ordered factor

I'm trying to change an unordered factor into an ordered factor: data96$RV961327 <- data96$V961327 data96$RV961327[data96$V961327 %in% levels(data96$V961327)[4]] <- NA data96$RV961327[data96$V961327 %in% levels(data96$V961327)[5]] <- NA data96$RV961327 <- factor(data96$RV961327) attributes(data

[R] Running a Logit Model in R

I'm an R newbie and had the following question. I'm trying to run a logit model because I have a dependant variable that is a factor with three levels. Each of my independent variables are factor variables and have two or more levels, which is why I'm unsure about the error. regone <- glm(da

[R] Recoding Variables in R

VAR 980490 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this?

[R] read.xls question

I'm an R newbie and had a question about the read.xls function. I've heard that this is often not a reliable function to use for importing data. However, I have created numerous xls files which contain information about voter turnout and macroeconomic indicators in India. I'm writing a paper on

[R] R outputs in Tinn-R

I have been using R and Tinn-R for the last few weeks. While I prefer Tinn-R to Emacs as my text editor, I have been unable to calibrate Tinn-R so that the R outputs will be translated into Tinn R. For example, if I create a data vecor entitled "I like pizza"<- c(1,2,3)" and then insert the f