similar to: adding perspectives to existing persp plots

Hello, Just look at the examples in ?persp. There is a function called trans3d defined in it that will traduce your 3D coordinates to 2D, and so you will be able to draw lines with lines function. Romain. Corey Bradshaw a ??crit : >I've created a perspective plot using 'persp' in the graphics package. >I'd like to add a second plane of z values to the existing plot, but I

Hello colleagues, I am attempting to determine the nonlinear least-squares estimates of the nonlinear model parameters using nls. I have come across a common problem that R users have reported when I attempt to fit a particular 3-parameter nonlinear function to my dataset: Error in nls(r ~ tlm(a, N.fix, k, theta), data = tlm.data, start = list(a = a.st, : step factor 0.000488281

Hello useRs and helpRs, Some time ago, in a gallaxy far away (here is the thread : http://finzi.psych.upenn.edu/R/Rhelp02a/archive/46532.html ) we discussed about a graph gallery showing the power of R in that domain. I did some work around that, and there is a (pretty advanced) draft here : http://addictedtor.free.fr/graphiques/displayGallery.php For instance, there are some of my graphs,

Hi, there. Suppose I have a bivarariate data matrix y1 and y2. I want to plot a 3-D picture of the estimated density f(y1, y2) against y1 and y2? How can I do that? Do I use persp() or density()? Thanks for your help. Yulei $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Yulei He 1586 Murfin Ave. Apt 37 Ann Arbor, MI 48105-3135 yuleih at umich.edu 734-647-0305(H) 734-763-0421(O) 734-763-0427(O)

I'm trying to overlay a density plot on a previously plotted histogram. However, i need to use the same axis as of the 1st(histogram) plot to plot the second. My second plot is creating its own axis and causing my plot to extend the entire histogram instead of getting a subplot on a portion of the histogram. I tried 'fig' and 'new' parameters with no luck. Thanks in advance.

Dear R users, Following some of the recent questions and discussions about the R plotting abilities, it occurred to me again that it would be very valuable to have an R graph gallery. Eric Lecoutre made a very nice example in: http://www.stat.ucl.ac.be/ISpersonnel/lecoutre/stats/fichiers/_gallery.pdf It would be very useful to many beginners, but probably also advanced users of R, to have an

Hello I've another question :-) I would like to transform a list to a integer. I must be sure that the number entered by the user is an integer! Thus, I've made : repeat{ cat("Effectif des populations (integer):") n<-scan("",n=1,what=list(0),quiet=TRUE) if (is.integer(n[[1]])==TRUE) break print("L'effectif des population doit etre un entier")

Thanks again Andy and Uwe for you help on my previous post of ploting lm coef and means. With your direction, I was able to expand and generalize the function to meet my requirements. Follow up question: Is it possible to make the points different colors depending on which quaderant they fall into? The data frame contains two variables (x and y) Quad 1 = x>mean(x) & y>mean(y) would

Is there a command to get cluster criterion for the cluster methods? SAS has its criterion, but I prefer to do it in R. If there is not a command is there code to produce criteria to choose the number of clusters? Adrian Katschke Statistics Grad Student University of Nebraska-Lincoln [[alternative HTML version deleted]]

Hi, I would like to bound the lower limit of my y scale to zero, and let R chose an upper limit. Something like plot(x,ylim=c(0,)) or plot(x,ylim=c(0,na)) but nither of these do the job. I searched the docs, but I can't see a way to do this. Naturally its nothing I can't do 'by hand', I would just like to know if a correct syntax exists.

Hello, I'd like to remove color bar from "filled.contour" plot. Is it possible and how? I also want to overlay "contour" plot on filled.contour but due to scaling of the "filled.contour" to account for the color bar, aspect ratio for "contour" is different from "filled.contour". Can this problem be solved? Thanks, Mark

I am currently working with R's polycor package and I have encountered a problem. I tried to follow the steps as outlined in the sem.pdf file where a CFA model is run using polychoric correlations. Every time I run the command sem(model, data, N=.), I get the following warning message: Warning message: In if (orthogonal) { : the condition has length > 1 and only the first element will be

New to R, can't afford SPSS! Why can't I assign spss variables? Here are the details. > ### I've read in my collaborator's sav file using read.spss, eg > children = read.spss(filename) > ### It has many variables > length(children) [1] 347 > ### and I would like to assign individual variables. > ### I can of course type out all the ones I want, eg >

Dear Dr. Sarkar, When I try to run the codes, I found the following problem: > h<- sample(1:14, 319, rep=T) > c<- sample(1:14, 608, rep=T) > n<- sample(1:14, 1140, rep=T) > vt<-c(h, c, n) > ta<-rep(c("h", "c", "n"), c(319, 608, 1140)) > > to<-data.frame(vt,ta) > library(lattice) Attaching package: 'lattice'

Hi, I am using the Strucchange package in R to test for structural change in regression coeffcient. Given a model y = b0 + b1*X + b2*Z, the Fstats test whether there is a change in both b1 and b2 over a time period. Is there any way where I can restrict the test to hold b2 constant and test for break in only b1? That is, instead of a pure structural change, could I test for partial structural

Hi All R-helpers This is my first (but probartly not last ;-) mail to R-help, so hello to everybody. My problem: Is there a way to give colors to the labels (sample labels) in plots for a hclust object for better visualization? I have looked through plot, points, hclust and more but cannot find anything on label color. Anybody know if this is doable? Best regards Jeppe

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

HI, Dear R community, My original file has 1932 lines, but when I read into R, it changed to 1068 lines, how comes? cdu@nuuk:~/operon$ wc -l id_name_gh5.txt 1932 id_name_gh5.txt > gene_name<-read.table("/home/cdu/operon/id_name_gh5.txt", sep="\t", skip=0, header=F, fill=T) > dim(gene_name) [1] 1068 3 -- Sincerely, Changbin -- Changbin Du DOE Joint Genome

I'm about to present a report (for internal use of governmental agency). I used extensively R , contibuted packages, as well as communications on the R-list As well as citing R, I would like to know how to cite the contributed packages (it is not so easy, as some have been used exensively, other marginally, some are called from another package and some were not used as softwares but gave me

R'istas: I am trying to plot a marginal distribution on the plane behind a persp() plot. My existing code is: library(MASS) X <- mvrnorm(1000,mu=c(0,0),Sigma=matrix(c(1,0,0,1),2)) X.kde <- kde2d(X[,1],X[,2],n=25) # X.kde is list: $x 1*n, $y 1*n, $z n*n persp(X.kde,phi=30,theta=60,xlab="x_b",ylab="x_a",zlab="f") ->res Any suggestions are very