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/
_______________________________________________________________________
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