[R] xyplot() conventions for multiple conditioning vars lattice pkg

[Bert Gunter]

xyplot(formula(result), result,  type = c( 'g','l'))

See ?formula (the part about the dataframe method) for details.

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Fri, Jul 19, 2019 at 6:28 AM Doran, Harold <HDoran using air.org> wrote:

> Here is a toy example of what I want
>
> library(lattice)
> result <- data.frame(score = 1:10, theta = seq(from = -5, to = 5, length =
> 10))
> result$theta2 <- result$theta + .3
> xyplot(score ~ theta + theta2, result,  type = c('g', 'l'))
>
> However, in reality, the number of variables along the x-axis will vary in
> unknown ways. So, I collect them in a matrix, similar to something like
>
> thetaMat <- cbind(result$theta, result$theta2)
>
> I recall at one point being able to pass a matrix of some form, such as
> xyplot(score ~ thetaMat[,1:ncol(thetaMat)], result, type = c('g', 'l'))
>
> This fails, and I am cannot recall the right usage for doing this without
> having to stack the columns (which I'm hoping to avoid).
>
> Can anyone suggest the right usage for this concept?
>
> Thanks
>
> Harold
>
>
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>
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