Jan Verbesselt
2005-Aug-22 14:58 UTC
[R] How to add legend of plot.Design function ( method=image)?
Dear Rlist, How can the Legend of the plot.Design() function can be visualized? Following the documentation in R, I did the following (see below), only the 'Legend' function doesn't visualize the legend of the plot (method='image') of the lrmfit. I tried to change par( margin setting) but this didn’t solve it. How can this be solved? Thanks a lot, Jan library(Design) n <- 1000 # define sample size set.seed(17) # so can reproduce the results age <- rnorm(n, 50, 10) blood.pressure <- rnorm(n, 120, 15) cholesterol <- rnorm(n, 200, 25) sex <- factor(sample(c('female','male'), n,TRUE)) label(age) <- 'Age' # label is in Hmisc label(cholesterol) <- 'Total Cholesterol' label(blood.pressure) <- 'Systolic Blood Pressure' label(sex) <- 'Sex' units(cholesterol) <- 'mg/dl' # uses units.default in Hmisc units(blood.pressure) <- 'mmHg' # Specify population model for log odds that Y=1 L <- .4*(sex=='male') + .045*(age-50) + (log(cholesterol - 10)-5.2)*(-2*(sex=='female') + 2*(sex=='male')) # Simulate bin ary y to have Prob(y=1) = 1/[1+exp(-L)] y <- ifelse(runif(n) < plogis(L), 1, 0) ddist <- datadist(age, blood.pressure, cholesterol, sex) options(datadist='ddist') fit <- lrm(y ~ blood.pressure + sex * (age + rcs(cholesterol,4)), x=TRUE, y=TRUE) boundaries <- perimeter(age, cholesterol, lowess=TRUE) plot(age, cholesterol) # show bivariate data density lines(boundaries) # and perimeter that will be used for 3-D plot z <- plot(fit, age=NA, cholesterol=NA, perim=boundaries, method='image') # draws image() plot # don't show estimates where data are sparse # doesn't make sense here since vars don't interact if(!.R.)Legend(z, fun=plogis, at=qlogis(c(.01,.05,.1,.2,.3,.4,.5)), zlab='Probability') # gray scale or color legend for prob. _______________________________________________________________________ Ir. Jan Verbesselt Research Associate Group of Geomatics Engineering Department Biosystems ~ M³-BIORES Vital Decosterstraat 102, 3000 Leuven, Belgium Tel: +32-16-329750 Fax: +32-16-329760 http://gloveg.kuleuven.ac.be/ _______________________________________________________________________ [[alternative HTML version deleted]]