Dear all, Thanks, it works. Regards,Ageel --- On Fri, 9/4/09, ONKELINX, Thierry <thierry.onkel...@inbo.be> wrote:
From: ONKELINX, Thierry <thierry.onkel...@inbo.be> Subject: Re: [R-sig-Geo] Multiple variograms in one graph To: "Paul Hiemstra" <p.hiems...@geo.uu.nl>, "Edzer Pebesma" <edzer.pebe...@uni-muenster.de> Cc: R-sig-Geo@stat.math.ethz.ch Date: Friday, September 4, 2009, 2:18 AM And here is a solution using the ggplot2 package. Which I find more transparannt than lattice. You have to prepare your data a bit more. library(gstat) library(ggplot2) data(meuse) coordinates(meuse) <- ~x+y v1 <- variogram(log(zinc)~1,meuse) v2 <- variogram(log(cadmium)~1,meuse) m1 <- fit.variogram(v1, vgm(1, "Sph", 800, 1)) m2 <- fit.variogram(v2, vgm(1, "Sph", 800, 1)) # Arrange the data for the ggplot2 plot # add the semivariance values of v2 to v1 v1$gammaV2 <- v2$gamma Fitted <- data.frame(dist = seq(0.01, max(v1$dist), length = 101)) Fitted$gamma <- variogramLine(m1, dist_vector = Fitted$dist)$gamma Fitted$gammaV2 <- variogramLine(m2, dist_vector = Fitted$dist)$gamma #convert the dataframes to a long format Empirical <- melt(v1, id.vars = "dist", measure.vars = c("gamma", "gammaV2")) Modeled <- melt(Fitted, id.vars = "dist", measure.vars = c("gamma", "gammaV2")) #one plot for each variogram ggplot(Empirical, aes(x = dist, y = value)) +       geom_point() +       geom_line(data = Modeled) +       facet_wrap(~variable) #both variogram on the same plot with different colours ggplot(Empirical, aes(x = dist, y = value, colour = variable)) +       geom_point() +       geom_line(data = Modeled) #same as above but with custom ranges of the X and Y axis ggplot(Empirical, aes(x = dist, y = value, colour = variable)) +       geom_point() +       geom_line(data = Modeled) +       scale_x_continuous(limits = c(0, max(Empirical$dist))) +       scale_y_continuous(limits = c(0, max(c(Empirical$value, Fitted$value)))) 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.onkel...@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-sig-geo-boun...@stat.math.ethz.ch [mailto:r-sig-geo-boun...@stat.math.ethz.ch] Namens Paul Hiemstra Verzonden: vrijdag 4 september 2009 9:58 Aan: Edzer Pebesma CC: R-sig-Geo@stat.math.ethz.ch Onderwerp: Re: [R-sig-Geo] Multiple variograms in one graph Hi, ...or alternatively using the trellis plot system: library(gstat) library(lattice) data(meuse) coordinates(meuse)=~x+y v1 = variogram(log(zinc)~1,meuse) v2 = variogram(log(cadmium)~1,meuse) m1 = fit.variogram(v1, vgm(1, "Sph", 800, 1)) m2 = fit.variogram(v2, vgm(1, "Sph", 800, 1)) # Arrange the data for the trellis plot # add the semivariance values of v2 to v1 v1$gammaV2 = v2$gamma # Construct the plot xyplot(gamma + gammaV2 ~ dist, v1,   panel = function(...) {      panel.xyplot(..., col = c("red","blue"))      # First variogram model      ret = variogramLine(m1, maxdist = max(v1$dist))      llines(x = ret$dist, y = ret$gamma, col = "red", lty = 1)      # Second variogram model      ret = variogramLine(m2, maxdist = max(v2$dist))      llines(x = ret$dist, y = ret$gamma, col = "blue", lty = 1)      },   ylab = "semivariance",   xlab = "distance") This is a bit more work than what Edzer suggested, but this solution is much more flexible. For example if you have not only two variograms at the same time, but also several times at which there are variograms. In addition, xyplot takes care of the x and y limits automatically. Like often in R, you can do stuff in several different ways. cheers, Paul Edzer Pebesma wrote: > ageel bushara wrote: >   >> Dear all, >> >> à >> >> Iââ¬â¢m a new user of R. I >> have two plots of variograms. Each plot shows the experimental >> variograms with its fitted theoretical variograms. I would like to >> have the two plots in one graph (all experimental and theoretical >> variograms will be in one graph). How can I do it? >>   >>    > easiest to use basic plot: > > library(gstat) > data(meuse) > coordinates(meuse)=~x+y > v1 = variogram(log(zinc)~1,meuse) > v2 = variogram(log(cadmium)~1,meuse) > m1 = fit.variogram(v1, vgm(1, "Sph", 800, 1)) > m2 = fit.variogram(v2, vgm(1, "Sph", 800, 1)) plot(gamma~dist, v2, > ylim = c(0, 1.05*max(v2$gamma)),col='red', ylab = 'semivariance', xlab > = 'distance') lines(variogramLine(m2, 1500), col='red') > points(gamma~dist, v1, col='blue') lines(variogramLine(m1, 1500), > col='blue') > >   >> à >> >> Thanks, >> >> Ageel >> >> >> >> >> >> >> >>     >>    [[alternative HTML version deleted]] >> >>   >> --------------------------------------------------------------------- >> --- >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >>   >>    > >   -- Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +3130 274 3113 Mon-Tue Phone: +3130 253 5773 Wed-Fri http://intamap.geo.uu.nl/~paul _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo Druk dit bericht a.u.b. niet onnodig af. Please do not print this message unnecessarily. Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. 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