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I would like to do something like the following: Fancyhist<-function(x,...) { # first, process x into xprocess somehow, then ... if (is.null(breaks)) { # yes, I know this is wrong # define the histogram breaks somehow, then call hist: hist(xprocess,breaks=breaks,...) } else { # use breaks give in calling argument hist(xprocess,...) } } But, those of you who know R better

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

OK, my apologies. I am sure this is a question that has been answered before. But I have looked all over the web and can't find an answer for it. I promise, wasting your time and bandwidth is my last resort. So here goes: I have an ASCII file formatted like so: Label 1.1 Time 1 Label 1.2 Array of data from time 1 Label 2.1 Time 2 Label 2.2 Array of data from time 2 Label

I want to do a series of contour plots, 4 in all. The data is coming from a data frame named "nd.frame", which has elements "xdf", "ydf", "zdf", and "pndt". I am treating "pndt" as a factor, and it has four levels. I make a call to the lattice graphics routine "contourplot" like so:

Am doing some vector plots with the arrows() function. Works well. But what I need to do is supply an arrow for scaling for the reader. I need to plot an arrow of some known magnitude somewhere on the page (preferably outside the bounds of the plot, so that it can be seen clearly) with some text underneath it that says, for instance, "10 kg-m/sec". Any ideas? Thanks.

I have a multidimensional array "a", for example, > a , , 1 [,1] [,2] [1,] 1 3 [2,] 2 4 , , 2 [,1] [,2] [1,] 5 7 [2,] 6 8 So a is 2x2x2. I have another array "b", for example, > b [,1] [,2] [1,] 9 11 [2,] 10 12 So b is 2x2. I want to "tack" b onto a so that b becomes a new "plane", so to speak,

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

I have a four-dimensional array. I have a three-dimensional array I want to add to it. My particular problem is conceptually very simple because the new array is just going to go into the end of the 4D array; i.e. will be added into the final index. I think I have seen an R command that can do this in one shot, but for the life of me, I can't find it again. Am I making this up, or is there

Here it is: read.inputs<-function(infile) { for (counter in 1:length(input.list)) { seek(infile,where=0,origin='start') newline<-readLines(infile,n=1) while(length(newline)>0) { if(!is.na(grep(as.character(input.list[[counter]][1]),newline)[1])) { break } newline<-readLines(infile,n=1) } if (length(newline)>0)

I would like to open an existing netCDF file and add a variable to it. I am using the ncdf package. This test code gives the idea of what I am trying to do: library(ncdf) print('here we go') print('first, construct netCDF file') t<-dim.def.ncdf('t','',1:1,unlim=T,create_dimvar=F) print('defining first vars')