similar to: Re: FW: Contour v Contourplot

Hi, one of the nice things about contour is that it labels all contour lines. contourplot only labels each particular elevation a single time. i.e., if there are two contour lines corresponding to z = 45, it will only label one of them. is there a way to get contourplot to automatically label all the contour lines, even those that are repeated? i ask because i want to plot contour plots *w/

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

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

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

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

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?

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, 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

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 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

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

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

Does anybody here have a suggestion for a clever way of creating contour plots for estimated bivariate density functions conditional on a factor? The contourplot function in the 'lattice' package only accepts data that are on the form 'z ~ x * y', not on the form 'x,y' or 'y~x'; otherwise I could probably have used the panel function to do the needed conversion.

Dear R-helpers, I need some help to produce a set of contour plots that I am trying to make in order to compare surfaces between the levels of a factor. For example: library(lattice) g <- expand.grid(x = 60:100, y = 1:25, ti = c("a","b","c")) g$z <-with(g, (-1e-4*x-1e-3*y-1e-5*x*y)*(ti=="a") + (1e-2*x-1e-3*y-1e-4*x*y)*(ti=="b") +

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 *

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

Hello I'm using the following call to create a contourplot: library(lattice) m <- as.matrix(read.table("data.txt")) contourplot(m[,3] ~ m[,2] * -m[,1], at = c(1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1), scales = list(x = list(log = 10, labels = c("1", "10", "100"),

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)

Dear all, As a newbie in R I would like to do the following (simple?) thing: to plot a filled.contour plot over a map showing country boundaries (e.g. for Europe) What i do is: map('worldHires',xlim=c(-10,40),ylim=c(35,70),boundary = TRUE,border=0.1) map.axes() filled.contour(mslp, zlim=c(1000,1020),color.palette = colorRampPalette(c("blue", "white",

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: