OK!
# The R codes to generate the Trellis plot are from the R help archive by
Karl Ove Hufthammer
panel.estcontplot <- function(x, y, ..., pretty=TRUE, region=FALSE)
{
cest.gr=kde2d(x, y)
cest.gr.lat=con2tr(cest.gr)
panel.contourplot(cest.gr.lat$x, cest.gr.lat$y, cest.gr.lat$z,
subscripts = seq(nrow(cest.gr.lat)),
pretty=pretty, region=region, contour=TRUE, ...)
}
# The titanic3 dataset is from
http://biostat.mc.vanderbilt.edu/twiki/pub/Main/DataSets/titanic3.xls with
missing value imputations according to the book
library(Hmisc)
set.seed(17)
xtrans <- transcan(~ I(age) + pclass + sex + sibsp + parch + survived, data =
titanic3,
n.impute=5, pl=F, trantab=T, imputed=T, transformed=TRUE)
titanic3[ ,'age'] <- xtrans$transformed[ ,'age']
titanic3[ ,'survived'] <- as.factor(titanic[ ,'survived'])
library(lattice)
xyplot(age ~ sibsp | survived, data = titanic3, panel=panel.estcontplot)
Anyway, I realized that Trellis could only be conditional on the categorical
variable while what I really want is conditional density plot of survived on
the two covariates. Thus I tried to twist cdplot with kde2d to substitute
density.
http://www.geocities.com/useebi/data/cdplot2d.txt
However, I still have no success. Would anyone help, please!
Thanks
marco
Deepayan Sarkar <[EMAIL PROTECTED]> wrote:
On 10/24/06, Marco LO wrote:
> Hello All,
>
> I've problems to interpret the contourplot for a binary response dependent
> variable. For example, I ploted the survived probability for the titanic3
> dataset,
>
> http://www.geocities.com/useebi/data/CondenContour.jpeg
>
> Trellis displayed two panels of contour, one for dead and one for alive.
> However,
> the contours between the two panels didn't conform to the rule of prob(dead) =
> 1 - prob(alive). How I should read the contours? What I did wrongly?
Hard to say, since we have no idea what you actually did. As the
footer of every r-help message says:
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
-Deepayan
> Is there an example that I could follow?
>
> Thanks!
> marco
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