Let me take an artifical matrix : dat = matrix(rnorm(200*200), 200, 200) My goal is to visualize this matrix according to the procedure, described in previous mails. I took Mendelssohn's advice and got following advice : ?plot.im Z <- setcov(owin()) plot(Z) .................... etc
However I can not reproduce this example in my problem. How I can change my data matrix 'dat' to 'Z' ? If anyone show me some light it would be great for me. Regards, Megh Dal <[EMAIL PROTECTED]> wrote: Roy Mendelssohn <[EMAIL PROTECTED]> wrote: Date: Thu, 28 Feb 2008 20:55:23 -0800 From: Roy Mendelssohn <[EMAIL PROTECTED]> Subject: Re: [R] Fwd: Re: How to create following chart for visualizing multivariate time series To: Megh Dal <[EMAIL PROTECTED]> What you are after is a colorbar. There is a colorbar option in the GLAD package in Bioconductor. See also the response at: http://tolstoy.newcastle.edu.au/R/help/05/02/12896.html HTH, Roy M. On Feb 28, 2008, at 8:38 PM, Megh Dal wrote: Hi Jim, i think you could not get my point. I did not want to put red-blue color there. I want to put a pallet which will describe the values of r. please have a look on following : http://bp0.blogger.com/_k3l6qPzizGs/RvDVglPknRI/AAAAAAAAAKo/itlWOvuuOtI/s1600-h/pairwise_kl_window60.png. Please see how a color pallate is added on the right side of this plot describing the value of red color, value of blue color etc. Is there any solution? Regards, jim holtman <[EMAIL PROTECTED]> wrote: Try something like this: require(grDevices) # for colours x <- y <- seq(-4*pi, 4*pi, len=27) r <- sqrt(outer(x^2, y^2, "+")) image(x, y, r, col=gray((0:32)/32)) colors <- colorRampPalette(c('red', 'yellow', 'blue')) # create you color spectrum image(x,y,r, col=colors(100)) On Thu, Feb 28, 2008 at 9:28 PM, Megh Dal wrote: I used ?image function to do that, like below : require(grDevices) # for colours x <- y <- seq(-4*pi, 4*pi, len=27) r <- sqrt(outer(x^2, y^2, "+")) image(x, y, r, col=gray((0:32)/32)) However my next problem to add a color pallet for color description [as shown in following link]. If anyone here tell me how to do that, it will be good for me. Regards, Megh Dal wrote: Hi all, Can anyone here please tell me whether is it possible to produce a chart displayed in http://www.datawolf.blogspot.com/ in R for visualizing multivariate time series? If possible how? Regards, --------------------------------- --------------------------------- --------------------------------- [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? Tell me what you want to do, not how you want to do it. --------------------------------- [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ********************** "The contents of this message do not reflect any position of the U.S. Government or NOAA." ********************** Roy Mendelssohn Supervisory Operations Research Analyst NOAA/NMFS Environmental Research Division Southwest Fisheries Science Center 1352 Lighthouse Avenue Pacific Grove, CA 93950-2097 e-mail: [EMAIL PROTECTED] (Note new e-mail address) voice: (831)-648-9029 fax: (831)-648-8440 www: http://www.pfeg.noaa.gov/ "Old age and treachery will overcome youth and skill." --------------------------------- --------------------------------- [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
