similar to: contourplot label color

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 everybody, I want to do a contourplot in lattice with my raw data overlaid on it(xyplot) which seemed to be a very easy thing to do. I've tried it in many ways, but I haven't succeeded at obtaining it. let's say x, y, and z as the variables that comes from the data frame ''ex'': therefore my countourplot is as followed : contourplot(z ~ x * y, cuts=550) I

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, 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, 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/

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'

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?

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 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

Hello, I experienced a strange behaviour of callNextMethod when used in either initialize or any other S4 function method definition. Help says callNextMethod calls the next inherited method for the current function from where it is called with the same actual (non missing) arguments. This is OK. The problem appears when some formal arguments (in particular, S4 objects) of this function are

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

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

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"),

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") +

I can't figure out how to add tick marks on both my X and Y axis. For example, my X axis ranges from 0 to 1 and there are both a tick mark and a number label at the X-axis values of 0.2,0.4,0.6. and 0.8. I want to add tick marks to the figure at every 0.1 value. This will help a viewer determine the values on the x axis. I included all of my code. I apologize but it is very long. I am

Phil, You write: >> Using x,y, and z variables in the enclosed test.RData, the command >> >> contour(x,y,z) >> >> produces a lovely 2D plot, whereas >> >> contourplot(z~x*y) >> >> produces the error.. >> >> Error in if (lim[1] > lim[2]) stop("Improper value of limit") : >> missing value where

Greets, I'm using a data frame that looks like: > head(pr2) X1 X2 X3 X4 Y fit res 1 44 33.2 5 30 41.2 39.22201 1.977991 2 43 33.8 4 41 31.7 38.48476 -6.784761 3 48 40.6 3 38 39.4 44.78278 -5.382783 4 52 39.2 7 48 57.5 51.48134 6.018656 5 71 45.5 11 53 74.8 68.25585 6.544153 6 44 37.5 9 65 59.8 53.27743 6.522569 Along with the command: >

Dear R gurus, I have got stuck on how to customise the colorkey generated by levelplot and contourplot, in the lattice package. This best illustrated by an example: library(lattice) levelplot(volcano^20/1e45,at=c(0,0.001,0.01,0.1,1,10)) The reason for raising the volcano dataset to the 20th power is to create a dataset with a large vertical exaggeration - this is similar in nature to the data