On Jun 9, 2012, at 5:07 PM, wcheckle wrote:
Dear R users:
I have a continuous outcome variable and four predictors, two
continuous and
two dichotomous. i would like to use the lattice plot to create
scatter
plots for the continuous predictors and boxplots for the dichotomous
predictors.
with 4 continuous variables, this is what i have been doing:
trial = rbind (
cbind ( cimt$ant.mean, cimt$age, 1 ),
cbind ( cimt$ant.mean, cimt$sbp, 2 ),
cbind ( cimt$ant.mean, cimt$ldl, 3 ),
cbind ( cimt$ant.mean, cimt$hdl, 4 ))
trial = as.data.frame(trial)
names(trial) = c("cimt","x","group")
trial$group.f =
factor(trial$group,label=c("Age(years)","SBP(mmHg)","LDL(mg/
dL)","HDL(mg/dL)"))
x11(height=6,width=14)
xyplot (cimt~x|group.f, data=trial,
scale=list(x=list(relation="free")),as.table=T,col="dark grey",
strip=strip.custom(which.given=1, bg="transparent"),ylab="Mean CIMT
(mm)",layout=c(4,1),aspect=1:1,xlab="",pch=16)
Isn't that what splom is supposed to be for?
--
David.
Any recommendations how to use the lattice package in include 2
dichotomous
variables with two continuous variables?
thank you,
William
--
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http://r.789695.n4.nabble.com/combining-different-types-of-graphics-scatterplots-boxplots-using-lattice-tp4632907.html
Sent from the R help mailing list archive at Nabble.com.
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David Winsemius, MD
West Hartford, CT
______________________________________________
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and provide commented, minimal, self-contained, reproducible code.
