similar to: contourplot:how to get it to label all contours like 'contour'

Hi, Is there a way to plot more than one trend surface using the functions contourplot() and wireframe(). I have found an add=T in contour(), but no equivalent argument in contourplot() and wireframe()? I have taken the example 11-2 (pages 441-451) from Design and analysis of experiments (Montgomery 2001, 5th edition) to see if this could be done in R. I have managed to plot individual

Hi, I have done the interpolation for my data and I was able to create the contours in multipanel with the help of Pascal. Now, I want to clip the contour with the shapefile. I want only the portion of contour to be displayed which falls inside the boundary of the shapefile. The data mydata.csv can be found on https://www.dropbox.com/s/khi7nv0160hi68p/mydata.csv The data for shapefile can be

Friends: I wish to overlay data points on a contour graph. The following example produces a nice contour plot, but I have not mastered the concept of using panel functions to modify plots. Can someone show me how to overlay the data points (given after contour plot statement) on the contourplot? --Seth model <- function(a,b,c,X1,X2) # provide model function for contour

I'm working on a contourplot( ) graph, the subject of several previous posts to this list. The contours express probabilities from 0 - 1, but the key that is automatically generated by contourplot pads the probability scale with values that are impossible (i.e, range goes from -0.2 to 1.2), which will be confusing to those who view the plot. How can I get the scale to just run from 0 - 1?

OK, I needed to plot a set of vectors on top of a contour plot. I figured out a way to do this. I create a panel function that calls "larrows()" with arguments constructed from my vector data. Then, when I go to do the contour plot, I call contourplot() with the "panel" argument set to point to my newly created panel function. So far, so good. Now, I need to do a

Sorry if I am cluttering up this list with too many rank beginner questions. But I *am* a rank beginner, and I am at my wit's end with this one: I have a data frame df, with components x,y,z. This command to make a contour plot with lattice graphics works just fine: > contourplot(z~x*y,data=df,cuts=20) Then I try > contourplot(z~x*y,data=df,cuts=20,region=T) And it dies on me with

Friends, I have two covariance matrices (m1 and m2) of same size (150x150). I used contourplot function to make contour plots individually (c1 and c2). I am interested in making one contourplot overlapping the two individual contours so that the portion of the plot above and below the diagonal can represent the c1 and c2. Someone suggest me how can i do the same. Is there any way that i can

Hello All, I've problems to interpret the contourplot for a binary response dependent variable. For example, I ploted the survived probability for the titanic3 dataset, http://www.geocities.com/useebi/data/CondenContour.jpeg Trellis displayed two panels of contour, one for dead and one for alive. However, the contours between the two panels didn't conform to the rule of

I wish to have inward-pointing ticks on my contourplot graph, but the colored background produced by the "region=TRUE" statement covers the ticks up, is there any way around this? Sample code below. --Seth library(lattice) model <- function(a,b,c,d,e, f, X1,X2) # provide model function for contour plot {J <- a + (b*X1) + (c*X2) + (d*X1*X2) + e*(X1^2) + f*(X2^2) pp

Hi - I have a dataframe with 4 variables - long, lat, temp and year. I would like to plot temperature by lat and long in contour plots by year. There are 391 data points. When I try contourplot(temp~long*lat|year,data=hake,cuts=10,labels = TRUE,contour = TRUE,pretty = TRUE,region=TRUE) I get plots with dots around by data, but not contour lines or filled in regions. I have also used the

I have four large two-dimensional matrices of which I want to create contour plots. Something like filled.contour(<matrix>) contourplot(<matrix>) works but only gives me one plot at a time. If I combine the four matrices into one three-dimensional matrix, which I'll name "seven", there should be a way of doing something like this contourplot(seven[,,k] for k in 1 to 4)

Hi, I draw a surface corresponding to bivariate density of independent variables (rho=0) using persp(). Then I add a contour line (i.e., circle in my case) at a particular density. Below is a minimal example of what I have so far. # Bivariate density dnorm2d <- function(x, y, rho = 0) { xoy = (x^2 - 2 * rho * x * y + y^2)/(2 * (1 - rho^2)) density = exp(-xoy)/(2 * pi * sqrt(1 - rho^2))

Is there an easy way to control smoothness of the contour lines? In the plot I am working on due to the undersampling the contour lines I am getting are jugged, but it is clear "by eye" these should be basically straight lines. In maps package I found smooth.map function, but maybe there is a more generic way of accomplishing the same thing. Ideally there would be an option to control

Hi, I am gradually moving from the classical R plot functions to the library Lattice I have some questions about contourplot () and its arguments: 1/ I am working on geographical coordinates which makes necessary that the X (longitude) and Y (latitude) units be represented with the same distance on screen. This was obtained in the classical R plots with plot.default(x,y, asp=1,...) and then

If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z

Hi All, I'm having difficulty making a contour plot a would like some help. A standard contourplot can be made by having an x,y, and some matrix (shape x*y) with contents: x = 1:10 y = 1:10 cont <- matrix(runif(100,min=1,max=2),nrow=10,ncol=10) filled.contour(x,y,cont) Looks very nice. Sometimes data comes in a different format however. Basically an x and an y, and a vector z with all

Hi everyone, I am new to the list. My problem is to change the color of the label in a contour plot. The plot is quite dark and I'd like to have the line and label white, it works for the line with a simple "col", but for the labels I need to pass throught a panel call and : > contourplot(Prob ~ D.CSW *

Hello, A weird thing is happening to me. I have a 128x128 elements matrix m with values between 0 and 1. If I do: R> library(lattice) R> contourplot (m, cuts=9) I get the following error message: Error in validDetails.text(x) : Invalid 'rot' value The same for any cuts >9. I can plot m with contourplot(m, cuts=8) but this is not detailed enough. The 'normal'

Hi All, I want to add one point to contourplot().  I used contourplot() in my code like contourplot(z ~ a + b |c, data) I understand there is plot.axes argument for filled.contour(), but it  did not work for my code. I also tried plot() and text() for contourplot(), but got this error: "plot.new has not been called yet" Any suggestion for adding a point in contourplot()? Thank you very

I understand that I need to have a (in this case) square matrix with all the data. But the question now is; - can the contourplot not interpolate the missing values or alternatively - I have fit a model to the z data (z = 100 + 0.5x + 0.5y). How can I make from this model a "square" matrix z to make a contour plot? Kind regards, Darius Blaszijk ----- Original Message ----- From: