splendid!
This worked well, but there are two oddities that I can't resolve.
1. In the real data, the baseline is a cumulative probability plot (from
simulations) rather than the straight line. The panel.lines plots this
curve, but seems to join the first and last points together.
On Mon, Dec 14, 2009 at 11:30 AM, Jennifer Young
jennifer.yo...@math.mcmaster.ca wrote:
splendid!
This worked well, but there are two oddities that I can't resolve.
1. In the real data, the baseline is a cumulative probability plot (from
simulations) rather than the straight line. The
On Mon, Dec 14, 2009 at 11:30 AM, Jennifer Young
jennifer.yo...@math.mcmaster.ca wrote:
splendid!
This worked well, but there are two oddities that I can't resolve.
1. In the real data, the baseline is a cumulative probability plot
(from
simulations) rather than the straight line. The
Try this:
You seem to have found a problem. At any rate try this instead:
pnl - function(x, y, ...) {
tt - time(z)
y - matrix(y, length(tt))
for(j in 1:ncol(y)) panel.plot.default(tt, y[,j], ...)
panel.lines(tt, baseline, lwd = 2, col = grey(0.5))
panel.lines(tt, b2)
}
On Mon,
One resolution of the need to go outside of pnl would be to use this line:
tt - unique(x)
in place of tt - time(z). That would overcome the objection that the
pnl function is not self contained.
On Mon, Dec 14, 2009 at 3:44 PM, Gabor Grothendieck
ggrothendi...@gmail.com wrote:
Try this:
You
Ah, I think i see the problem.
The default plot recognizes there is one set of x for each set of y, but
since there were two vectors in the default.plot, the x vector is repeated
and loops around for the lines part. Presumably the default plot uses
your recursive plot automatically.
At any rate,
I think the basic problem is that you are bringing in new data from
outside the xyplot() call -- i.e `b2` and `baseline` -- and are then
trying to plot that against the panel argument `x`. This is asking for
trouble, as you have found, because `x` as passed to the panel
function is modified by
Good observation. In fact, panel.plot.default works because it uses
the subscripts and groups variables which are passed down to the panel
function and if not explicitly referenced in the formal argument list
of pnl are passed via ... thus we could use any of these equivalent
pnl functions though
Hello
I've created a function to make a plot with multiple pannels from columns
of data that are created in a previous function. In the example below the
number of columns is 8, giving 4 pannels, but in general it takes data
with any number of columns and figures out a nice layout.
The panels
Try this using xyplot.zoo in the zoo package. We define the baseline
and a panel function. The panel function just performs the default
action to display the graphs and adds the baseline. The screens
variable is 1,1,2,2,3,3,4,4. We create a zoo object from dat and use
screens to name the
10 matches
Mail list logo
