i will include the data to read if if you so choose. dat <- read.dta("http://quantoid.net/hw1_2011.dta")
model in question: mod99 <- glm(democracy ~ popc100kpc + ngrevpc, data=dat, family=binomial) ------------------ looking for average effects code, with error on mod99. popckpc is coded in 1k per capita. > dat3$popc100kpc <- dat$popc100kpc - 100 > dat3$popc100kpc[which(dat3$popc100kpc < min(dat$popc100kpc))] <- > min(dat$popc100kpc) > dat2 <- dat3 <- dat > dat2$popc100kpc <- dat2$popc100kpc + 100 > dat2$popc100kpc[which(dat2$popc100kpc > max(dat$popc100kpc))] <- > max(dat$popc100kpc) > dat3$popc100kpc <- dat$popc100kpc - 100 > dat3$popc100kpc[which(dat3$popc100kpc < min(dat$popc100kpc))] <- > min(dat$popc100kpc) > pred1 <- predict(mod99, type="response") > pred2 <- predict(mod99, newdata=dat2, type="response") > pred3 <- predict(mod99, newdata=dat3, type="response") ---- breaking the variable into groups: > pop1.group <- cut(dat$popc100kpc, breaks=quantile(dat$popc100kpc, > seq(0,1,by=.25)), include.lowest=T) > apply, 2, mean) > means <- by(cbind(pred1, pred2, pred3), list(pop1.group), + apply, 2, mean) > means <- do.call(rbind, means) ---- and finally attempting to plot: > par(mar=c(7,4,4,2)) > plot(c(1,10), range(c(means)), type="n", xlab="", + ylab="Predicted Probability", axes=F) > arrows(1:10, means[,1], 1:10, means[,2], code=2, length=.1) > arrows(1:10, means[,1], 1:10, means[,3], code=2, length=.1, col="red") > points(1:10, means[,1], pch=16) Error in xy.coords(x, y) : 'x' and 'y' lengths differ > axis(1, at=1:10, labels=rownames(means), las=2) Error in axis(1, at = 1:10, labels = rownames(means), las = 2) : 'at' and 'labels' lengths differ, 10 != 4 -------- I am not sure how to fix the error. Thank you for your time. ----- Ph.D. Candidate -- View this message in context: http://r.789695.n4.nabble.com/plotting-average-effects-tp3923982p3925945.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@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.