Hi Michael,
>> Pulling my hair out here trying to get something very simple to work. ...
I can't quite see what you are trying to do [and I am not sure that you
clearly state it], but you could make things easier and simpler by (1)
creating a factor to identify your groups of rows more cleanly and (2) by
using the groups= argument in lattice.
## Something along these lines
copyDat <- originalDat
copyDat$newFac <- gl(2, 387, 774, labels=c("A","B"))
xyplot(response ~ predictor|maybe.condition, data=copyDat, groups=newFac)
I hope this gives you some ideas.
Mark.
Michael Hopkins wrote:
>
>
>
> Hi R people [duplicate - sorry, just posted HTML by mistake]
>
> Pulling my hair out here trying to get something very simple to work.
> Have a data frame of 774 rows and want to plot first and second half
> on same axes with different colours. A variable is present call 'row'
> created like this and checked to be OK:
>
> row <- seq( len=length( variable1 ) )
>
> ...so I just want to plot the two subsets where row <= 387 and where
> row > 387. None of these work properly:
>
> plots both over each other in correct colours
> opt_plot2 <- function( var_string, c, units ) {
> print( xyplot( get(var_string) ~ variable1 | variable2, panel =
> function( x, y, ... ) {
> panel.xyplot( x, y, type ="n", ... )
> panel.grid( h=-1, v=-1, lty=3, lwd=1, col="grey" )
> panel.lines( x, y, col = "red", subset = row <= 387 )
> panel.lines( x, y, col = "dark green", subset = row > 387 )
> },
> }
>
> plots both just in red
> ... panel.lines( x[row <= 387], y[row <= 387], col = "red" )
> panel.lines( x[row > 387], y[row > 387], col = "dark
> green" )
>
> first <- (row <= 387)
> second <- (row > 387)
>
> plots both over each other in correct colours
> ... panel.lines( x, y, col = "red", subset = first )
> panel.lines( x, y, col = "dark green", subset = second )
> plots both just in red
> ... panel.lines( x[first], y[first], col = "red" )
> panel.lines( x[second], y[second], col = "dark green" )
>
>
> I'm feeling frustrated and a bit stupid but should this be so
> difficult? Any help or tips on what I am doing wrong greatly
> appreciated.
>
> TIA
>
> Michael
>
> __
>
> Hopkins Research Touch the Future
>
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