similar to: overlaying multiple contour plots

Hello there, I am creating a series of images using levelplot but I also want to overlay a contour for a particular value as reference. Here is the levelplot command for the image: print(levelplot(d~x+y,data=t,cuts=20,scales=list(draw=F),xlab=NULL,ylab= NULL,col.regions=heat.colors(100)[100:1]),split=c(1,1,1,1),more=T) and then to add the contour plot (I only want a contour at level 5):

Dear R-Help community, I am trying to overlay a single contour line over a correlation plot using levelplot in the lattice package. These are the two arrays: 1) a correlation plot over Africa - so each grid square is a different colour dependent on correlation - this is in an array: result_cor with dim[465,465] 2) a single contour line from a ***different data source*** - this is from data

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 am trying to add some markers onto a contour map image I have created, by using the text() function when I have already produced the map using either image() or filled.contour(). For some reason the points appear to be shifted considerably to the right of where they should be appearing, despite me using exactly the same co-ordinate systems for both. This offset is also dependent on the aspect

Hello I apologize in advance if this question has already be posted on the list, although I could not find a relevant thread in the archives. I would like to overlay xyplots using different datasets for each plot. I typically work on the following data.frame (mydata) structure >mydata Drug Time Observed Predicted 1 A 0.05 10

Dear R users, I would like to create a filled.contour plot with colour bar and overlay a map. I need to create several of these representing variables with different spatial extents for comparison. When I try to fix the plot area size and axes limits as follows: par(fig=c(0,1.0,0.3125,1.0) filled.contour(x=seq((320/2)-180.5,(480/2)-180.5,len=nrow(oct94)),

Hi all We are pretty new to R here and trying to achieve something that we believe is possible but it?s not easy to work out how to do it. We are producing scatterplot matrices for e.g. 10 variables. What we would like to do is superimpose 2D kernel density estimators on top of each plot so that we end up with a scatterplot matrix of 2D kernel density (contour) plots. The kernel density plots

Dear All, I have a question on overlaying a filled.contour (e.g. on soil properties data) and contour (by elevation) in one graph. Both have the same z matrix dimension. I'm able to overlay both graph, but the plots dimension did not overlap well on the same plots. How can I have both filled.contour and contour on the same graph? The commands that I have written are as follows:

I would like to plot some lat-lon data in a filled contour, and then overlay a map of the globe on top. I am trying something like this: filled.contour(lons, lats, glb.data, plot.axes={axis(1);axis(2);map(projection='rectangular',parameters=0,add =T)} ) The filled contour plots fine, and the map shows up, but only as a very tiny little black rectangle in a small area of the

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 apologize for what may be a newbie question: I have two sets of data, one is X,Y,Z data that I'd like to make a contour plot of (Z defining the contours), and a second set of X,Y data (Y as a function of X) which I would like made into a line plot OVERLAYED on the contour plot (X and Y from both plots are in the same units and will have overlapping values). Any suggestions on how to do this

Is it possible to create a contour plot with the isolines labeled. I know you can do this with Matlab. Argh! I tried creating a filled contour plot, then using par(new=T), followed by overlaying the contour plot on top. However, the placement of the filled contour plot and the contour plot do not align correctly. Any suggestions would be appreciated. Thanks, Jon -- View this message in

#After spending the entire day working on this question, I have decided to reach out for support: #I am trying to overlay a densityplot from one data set over a histogram of another, if I were to plot the two individually, they would look like: # data frame construction data.frame.A <- data.frame(rnorm(12*8), c(rep("one", 4), rep("two", 4), rep("three", 4)),

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

Dear all, as you can see from the code I want to create *a panel of 11 contour plots through a iteration process*. I found a thread that address the issue of plotting many contour.plots in the same device, but it does not address my problem! I emphasize that the 11 contour plots must be appeared in the same device through an iteration process and NOT individually! par(mfrow=c(4,3)) # I want them

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)

Note: I have posted this on SO also but while the question has been upvoted, there has been no answer yet. https://stackoverflow.com/questions/46622243/ggplot-plot-2d-probability-density-function-on-top-of-points-on-ggplot Apologies for those who have seen it there also but I thought that this list of experts may have someone who knows the answer. I have the following example code:

Colin, If your propose is to create a ternary plot with points and vectors, I think easier do this with graphics based plots instead of trellis based plots. Although, with little work you can do with trellis too. I gave you a reproducible code to put an arrow in a ternary plot. I use the function locator() to extract coordinates. The code is the following

Dear R help contributors, I'd like to plot ground temperature with time on X-axis and depth on Y-axis on this datasets ( http://r.789695.n4.nabble.com/file/n3301033/NEdaily.csv NEdaily.csv ), and to do so I use the following commands: library(RSEIS) xNE <- seq(1, as.numeric(as.Date(max(NEdaily[[1]])) - as.Date(min(NEdaily[[1]]))), 1) yNE <- rev(c(-0.3, -0.5, -0.7, -0.9, -1.1,

Hi, I am no expert on ggplot2 and I do not know the answer to your question. I looked around a bit but could not find an answer right away. But one possibility could be, if a direct approach is not possible, to draw ellipses corresponding to the confidence regions of the multivariate t density and use geom_polygon to draw this successively? I will wait for a couple of days to see if there is a