On Fri, 20 Jul 2018, Duncan Mackay wrote:
If you have to make several plots you can subset your data
Duncan,
That's what I thought I should do.
xyplot(... data = subset(x, condition), ...)
or
XYn <- xyplot(... data = x[row1:row2, ], ...)
in a loop
have a look a ? print.trellis
if you
On Thu, 19 Jul 2018, William Michels wrote:
Hello, In addition to Duncan Mackay's excellent suggestion, I would
recommend Bert Gunter's "stripless" package, for high-density Trellis-type
conditioning plots. See the vignette for examples, and try out the code
for "earthquake" and "barley" plots
Hello, In addition to Duncan Mackay's excellent suggestion, I would
recommend Bert Gunter's "stripless" package, for high-density
Trellis-type conditioning plots. See the vignette for examples, and
try out the code for "earthquake" and "barley" plots from the
reference manual.
On Thu, 19 Jul 2018, Berry, Charles wrote:
So roughly 5000 observations of latitiude, longitude, elevation(?), and
amount.
Maybe something dynamic like Hans Rosling does:
https://towardsdatascience.com/how-to-build-animated-charts-like-hans-rosling-doing-it-all-in-r-570efc6ba382
possibly
> On Jul 18, 2018, at 1:55 PM, Rich Shepard wrote:
>
> I have daily precipitation data for 58 locations from 2005-01-01 through
> 2018-06-18.
So roughly 5000 observations of latitiude, longitude, elevation(?), and amount.
Maybe something dynamic like Hans Rosling does:
On Thu, 19 Jul 2018, Duncan Mackay wrote:
Try something like this
...
Duncan,
That's impressive and well beyond anything I've done in the past. I'll
study it to fully understand it and make it work for me.
I have put over 60 panels on an A4 page.
Space is a premium - you can reduce
Hi Rich
Try something like this
set.seed(1)
xy <-
data.frame(x = rnorm(108),
y = rnorm(108),
gp = rep(1:9, ea = 12))
xyplot(y~x|gp, xy,
as.table = TRUE,
strip = F,
strip.left = F,
layout = c(3,3),
par.settings= list(layout.heights =
> On Jul 18, 2018, at 1:55 PM, Rich Shepard wrote:
>
> I have daily precipitation data for 58 locations from 2005-01-01 through
> 2018-06-18. Among other plots and analyses I want to apply lattice's
> xyplot() to illustrate the abundance and patterns of the data.
>
> I've used a vector of
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