[R] lines and points in xyplot()
Deepayan Sarkar
deepayan.sarkar at gmail.com
Wed Nov 23 19:09:20 CET 2011
On Wed, Nov 23, 2011 at 10:48 PM, Doran, Harold <HDoran at air.org> wrote:
> Given the following data, I want a scatterplot with the data points and the predictions from the regression.
>
> Sigma <- matrix(c(1,.6,1,.6), 2)
> mu <- c(0,0)
> dat <- mvrnorm(5000, mu, Sigma)
>
> x <- dat[,1] * 50 + 200
> y <- dat[,2] * 50 + 200
>
> fm <- lm(y ~ x)
>
> ### This gives the regression line, but not the data
> xyplot(y ~ x,
> type = c('g', 'p'),
> panel = function(x, y){
> panel.lines(x, predict(fm))
> }
> )
>
> ### This gives both data but as point
> xyplot(y + predict(fm) ~ x,
> type = c('g', 'p'),
> )
>
> I know I can add an abline easily, but my problem is a bit more complex and the code above is just an example.
> What is the best way for the predicted data to form a solid line and let the data points remain as points
See
http://lattice.r-forge.r-project.org/Vignettes/src/lattice-tricks/regression-lines.pdf
(This is a work in progress, so feedback would be appreciated.)
-Deepayan
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