Dear R-users: I am trying to use the following code to reproduce the figures on page 140 of Prof. Frank Harrell's book 'Regression Modeling Strategies':
rm(list=ls()) options(width=128) library(Hmisc) library(Design) getHdata(counties) counties$older <- counties$age6574 + counties$age75 label(counties$older) <- '% age >= 65, 1990' counties$pdensity <- log10(counties$pop.density+1) label(counties$pdensity) <- 'log 10 of 1992 pop per 1990 miles^2' 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) f r <- resid(f) windows(width=10.67, height=6.60) par(mfrow=c(3,3)) par(mar=c(4, 4, 2, 2)) plot(f, ylim=c(20,70)) But I have following problems: 1): the last two subfigures are different with those from the book; 2): I have a error reads: Error in if (units == "") g(label) else if (label == "") g(units) else if (plotmath && : missing value where TRUE/FALSE needed 3): I think there should be another subfigure on variable "turnout", but is missing in book also I am using most current version of R, Design and Hmisc. 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.