Dear Steve,
Here are a fex examples for empirical variograms using ggplot2
library(gstat)
library(ggplot2)
data(meuse)
coordinates(meuse) = ~x+y
vgIso <- variogram(log(zinc)~x+y, meuse)
vgIso$id <- "iso"
vgAniso <- variogram(log(zinc)~x+y, meuse, alpha=c(0,45,90,135))
vgAniso$id <- "aniso"
Empirical <- rbind(vgIso, vgAniso)
ggplot(Empirical, aes(x = dist, y = gamma, weight = np / (dist ^ 2),
colour = id, shape = factor(dir.hor))) + geom_smooth() + geom_point()
ggplot(Empirical, aes(x = dist, y = gamma, weight = np / (dist ^ 2),
colour = id)) + geom_smooth() + geom_point() + facet_wrap(~dir.hor)
newVgIso <- merge(vgIso[, -4], expand.grid(dist = vgIso$dist, dir.hor
unique(vgAniso$dir.hor)))
Empirical2 <- rbind(newVgIso, vgAniso)
ggplot(Empirical2, aes(x = dist, y = gamma, weight = np / (dist ^ 2),
colour = id)) + geom_smooth() + geom_point() + facet_wrap(~dir.hor)
HTH,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens bevenro
Verzonden: dinsdag 8 september 2009 20:23
Aan: r-help at r-project.org
Onderwerp: [R] gstat---2 basic plot questions
Hi all--
I'm new to R, statistics and programming, so sorry if this is a really
basic question!
I have plotted a directional variogram, and I want to
a. overlay the omni-directional line over each directional panel
b. display the directional variograms in a single panel with a legend
that associated each line to each degree measurement.
The line I'm using is
plot(DirectionalVar,multipanel=FALSE,auto.key=TRUE)
this gives me the single panel, but I don't know how to bind the legend
to the lines (it's tricky to tell which is which) or to overlay the
omni-directional line.
Just looking to keep this as simple as I can--
Thanks!
Steve
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