similar to: Labelling curves on graphs

Hi Folks, I have been using contour() to produce some contour plots (of a spatially-smooted density produced by kde2d()), with very satisfactory results. I now want access to the coordinates of the points on the contours, and it would seem that contour() does not return a value, so there is nothing from which these could be extracted. However, apparently contourLines() does, and it seems to be

Hi all, I have a sample of n values from a bivariate distribution (from a MCMC procedure). How could I draw a contour plot of "the joint density" based on that sample ? Sorry if I was not too clear. Thans in advance, Regards, Caio [[alternative HTML version deleted]]

I have the following data table: [,1] [,2] [,3] [,4] [,5] [1,] 2575 1927 1754 581 354 [2,] 1156 810 730 541 237 [3,] 417 297 199 125 110 [4,] 281 132 132 47 58 [5,] 152 84 87 54 19 Each column represents a time interval expressed in nano-seconds Each row represents an energy interval expressed m=n MeV Each table value represents the average gamma rays intensity

Dear All, I would like to plot a scalar (e.g. a temperature) on a non-rectangular domain (or even better: I would simply like to be able to draw a contour plot on an arbitrary 2D domain). I wonder if there is any tool to achieve that with R. I did some online search in particular on the list archives, found several queries similar to this one but was not able to find any conclusive answer. I

I am using contour to draw contour lines onto a photo (jpeg) of a leaf on a white background. I have two problems: 1) The contour gets plotted at right angles to the jpeg image. I guess this is a problem of referencing the start and end points of the image matrix but I can't see how to over come this other than loading in a second image that has been rotated 90 degrees and plotting the

> From: Martin Maechler <maechler at stat.math.ethz.ch> > To: royle at bearmtn-e0.cgd.ucar.edu > CC: lgygax at access.unizh.ch, r-help at stat.math.ethz.ch > Subject: contour labelling [was "Re: [R] image ()"] > Mime-Version: 1.0 (generated by tm-edit 7.106) > > >>>>> "Jeffrey" == Jeffrey A Royle <royle at bearmtn-e0.cgd.ucar.edu>

Hello Everyone I am new to R I have drawn indifference curves using the program below (Contour Plot) u <- function(x, y) x^0.5 + y^0.5 x <- seq(0, 1000, by=1) y <- seq(0, 1000, by=1) a <- c(10, 20, 30) contour(x, y, outer(x, y, u),levels=a,col="blue") Now can any body please tell me how to draw Heat maps and that too on the same indifference curve plot (contour)

Greetings, All! I want to draw contour lines in red, using contour(), but also have the contour labels (for the level-values) in black so that they will stand out against a coloured background already generated using filled.contour() (the background shades from green at low levels of "risk" to red at high levels). In any case, contour labels in red are already somewhat inconspicuous

Greetings all! I'm wanting to plot contours of a function, and I don't want to evaluate it at a dense grid of points (i.e. I don't want a huge array of values). Say I have a vector of x-values such as x <- 0.1*c(1:10), and the same for y <- 0.1*(0:10). I then evaluate a 10*10 matrix z of values of z = f(x,y). so I can then do CL <- contourLines(x,y,z) and get a list of

Hi List, I would like to plot multiple curves (parametric density curves) in one plot. For example: # parameters for three normal density curves parms = data.frame(ID=c(1,2,3),mu=c(50,55,60),sigma=c(10,12,15)) # I can easily draw three normal density curves using curve(): curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=0, to=150, ylab="density", col="red")

Dear R users: I have a dataset with two variables (>20000 observations, two samples from same subject) and I used "kernSur" from library(Genkern) to get a estimated bivariate density and corresponding plots as follows: new.data.normal<-data.normal[!is.na(data.normal[,2]),] x<-new.data.normal[,2] y<-new.data.normal[,3] op <- KernSur(x,y, xgridsize=50, ygridsize=50,

Hallo! Does anybody know a way to calculate the sample size for comparing AUC of ROC curves against 'by chance' with AUC=0.5 (and/or against anothe AUC)? Thanks! Karl

To everyone, Is there a way to extract coordinates or an equation from a "straight" contour line? Thanks. Cheers Julius Tesoro

Hi all, I'm trying to draw a contour plot with rounded (smoothed) contour lines instead of sharp angles; when the grid consists of only a few points in x- and y- axis, the resulting contour is in facts rather ugly since very sharp angles may appear. I did not find any way to do it, by using either "contour" or "contourplot" (from the lattice package), I wonder if there

Dear all, I'm not able to solve easily the following simple problem. I really hope someone can give me some hints. I trained an svm (e1071). Now I'd like to show the results graphically. I used plot.svm and I'd like to add some other objects to the plot: points, (coloured) ellipses to indicate some intersting regions, curves, and so on... I tried to pass these as additional

Dear R-helpers, I'd like to be able to post-process contours coming from contour(). Does anyone have a version of contour() (or something similar) which will return the contour coordinates? In searching the archives I've come across a message in Nov 01 which had this on a wish-list, but I can find no later reference. With thanks, John Field Adelaide, South Australia

Hi guys, I have a strange problem. I can authenticate a user with wbinfo from my domain controller (security =3D ads), however when I try and map a share, the authentication fails. i.e. # wbinfo -a 'COAL+bcanglo%bcpass' plaintext password authentication succeeded challenge/response password authentication succeeded # smbclient '\\xxxxxxx\timtest' -U 'COAL\bcanglo'

# I have a simple function problem. I thought that I could write a function to modify a couple of vectors but I am doing something wrong #I have a standard cost vector called "fuel" and some adjustments to the #costs called "adjusts". The changes are completely dependend on the length #of the dataframe newdata I then need to take the modifed vectors and use # them later. I

Hi, I want to draw a scatter plot with 1M and more points and save it as pdf. This makes the pdf file large. So i tried to save the file first as png and than convert it to pdf. This looks OK if printed but if viewed e.g. with acrobat as document figure the quality is bad. Anyone knows a way to reduce the size but keep the quality? /E -- Dipl. bio-chem. Witold Eryk Wolski MPI-Moleculare

Hi Folks, I'm probably overlooking some small point, but can't see it. Trying the "Local trend surfaces" example from p.437 of MASS (3rd edn) by V&R, all goes well until the line contour(topo.mar$x, topo.mar$y, topo.lo$fit, levels=seq(700,1000,25), xlab="fi t", ylab="") which produces the response: Error in contour.default(topo.mar$x,