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
r the group names if they overlap
> data.
> Space is a premium - you can reduce the right margin similar to the top see
> ?trellis.par.get()
>
> Regards
>
> Duncan
>
> Duncan Mackay
> Department of Agronomy and Soil Science
> University of New England
> Armidale NS
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
e top see
?trellis.par.get()
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2350
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Rich Shepard
Sent: Thursday, 19 July 2018 06:55
To: r-he
> 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
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 colors (and a key) when there were only eight
weather stations
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