[R] combining different types of graphics (scatterplots, boxplots) using lattice

[David Winsemius]

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
>
> --
> View this message in context: 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