Dear R-users, I am using R 2.13.0 and rms 3.3-0 , but can not reproduce figure 7.8 of the handouts *Regression Modeling Strategies* ( http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf) by the following code. Could any one help me figure out how to solve this?
setwd('C:/Rharrell') require(rms) load('data/counties.sav') older <- counties$age6574 + counties$age75 label(older) <- '% age >= 65, 1990' pdensity <- logb(counties$pop.density+1, 10) label(pdensity) <- 'log 10 of 1992 pop per 1990 miles^2' counties <- cbind(counties, older, pdensity) # add 2 vars. not in data frame dd <- datadist(counties) options(datadist='dd') f <- ols(democrat ~ rcs(pdensity,4) + rcs(pop.change,3) + rcs(older,3) + crime + rcs(college,5) + rcs(income,4) + rcs(college,5) %ia% rcs(income,4) + rcs(farm,3) + rcs(white,5) + rcs(turnout,3), data=counties) incomes <- seq(22900, 32800, length=4) show.pts <- function(college.pts, income.pt) { s <- abs(income - income.pt) < 1650 # Compute 10th smallest and 10th largest % college # educated in counties with median family income within # $1650 of the target income x <- college[s] x <- sort(x[!is.na(x)]) n <- length(x) low <- x[10]; high <- x[n-9] college.pts >= low & college.pts <= high } windows() plot(Predict(f, college, income=incomes, conf.int=FALSE), xlim=c(0,35), ylim=c(30,55), lty=1, lwd=c(.25,1.5,3.5,6), col=c(1,1,2,2), perim=show.pts) Thanks [[alternative HTML version deleted]] ______________________________________________ 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.