similar to: How to remove outer box from Wireframe plots?

How can I eliminate the border drawn by default around a wireframe plot? I've tried using border=NA and box=FALSE to no avail. Scott Waichler Pacific Northwest National Laboratory scott.waichler at pnl.gov

I would like to eliminate the outer box around a lattice wireframe graph, but the usual recommended solution, which is to assign a color of 'transparent' to the axis.line parameter, eliminates ticks if the 'arrows=F' command is used, as shown in the following example: test = data.frame(expand.grid(c(1:10), c(1:10))) z = test[,1] + test[,2] test = cbind(test, z) names(test) =

I would like to use POSIX classes to store dates and extract components of dates. Following the example in Spector ("Data Manipulation in R"), I create a date > mydate = as. POSIXlt('2005-4-19 7:01:00') I then successfully extract the day with the command > mydate$day [1] 19 But when I try to extract the month > mydate$mon [1] 3 it returns the wrong month. And

Dear expeRts, I would like to add two points to a wireframe plot. The points have (x,y,z) coordinates where z is determined to be on the wireframe [same z-value]. Now something strange happens. One point is perfectly plotted, the other isn't shown at all. It only appears if I move it upwards in z-direction by adding a positive number. So somehow it disappears in the wireframe-surface

I have a data set similar to this: P1id Veg1 Veg2 AreaPoly2 P2ID 1 p p 1 1 1 p p 1.5 2 2 p p 2 3 2 p h 3.5 4 For each group of "Poly1id" records, I wish to output (subset) the record which has largest "AreaPoly2" value, but only if

Hi, I have the following problem. Calling wireframe within a loop results into an empty window(s) #generate some data temp = expand.grid(A = 1:3,B = 1:3) temp = cbind(temp, y1 = rnorm(9)) temp = cbind(temp, y2 = runif(9)) #plot y1 and y2 in two different windows for(i in 1:2) { wireframe(y1 ~ A*B, temp, shade =T) windows() wireframe(y2 ~ A*B, temp, shade =T) } #However, calling it twice

Hello R-classicist won't like the following question due to there's no minimal reproducible example and the question was posted already. Anyway I'm not able understand this rather complicated version of "add points to wireframe". what I have is matrix 3x2000 with a dem<-(x,y,z, coordinates) (not provided). with follwing code I want to produce the wireframe and add some

Hello Dear, I have a function, like z=f(x,y), and try a surface plot with this function. But, on the reference of "wireframe" requires data option, so I generated x and y, and computed z with them. But, still I have a problem to draw a surface plot. The code and errors are ################################################## mle_beta0=64.43707; mle_beta1=-24365.16; # generating for

Per the message from Alexander Nervedi, 29 April 2006: > I have to be making a riddiculously silly ommission. > when I run the fillowing i get the cloud plot ok. But I cant figure > out what I am missing out when I call wireframe. > Any help would be appreciated. > x<-runif(100) > y<-rnorm(100) > z<-runif(100) > temp <-data.frame(x,y,z) >

Hello Everyone, I am using R ver. 2.10.1 (2009-12-14). I installed lattice today via install.packages. I am doing this minimal example: M = read.csv("/path/to/csv") cloud(x ~ y * z, data = M) this correctly gives me a scatterplot of the csv data which has 3 columns. Every column contains 1800 numeric 0 < values < 1300 when I want to plot the corresponding wireframe via

Hello, I try to increase the distance between tick labels and ticks in a lattice wireframe plot. Here's a minimal example: ## Minimal example x <- y <- z <- c(1,2,3) df <- data.frame(x, y, z) wireframe(z ~ x*y, df, scales = list(arrows = FALSE, col = "black", font = 1, tck=0.6)) I tried the axis.components option

A quick question. I'm trying to plot a surface from a fitted model along with the original points, as in the following example: df<-data.frame(expand.grid(100*runif(1:100), 100*runif(1:100))) df$Var3<-rnorm(length(df$Var1), mean=df$Var1*df$Var2, sd=10) my.lm<-lm(Var3 ~ Var1*Var2, data=df) my.fun<-function(x,y) predict(my.lm, data.frame(Var1=x, Var2=y),

Sorry sending this again - is anyone familiar with multiple transparent wireframe plots? I already checked the ?wireframe, but with no examples and as newcommer its hard to find out a correct code. If we set drape=F in the example: g <- expand.grid(x = 1:10, y = 5:15, gr = 1:2) g$z <- log((g$x^g$g + g$y^2) * g$gr) wireframe(z ~ x * y, data = g, groups = gr, scales = list(arrows

I have a question about wireframe 3-D plots and how to apply colors. I have a large dataset of river flow (m^3/s) over time, and I have coded these flows based on their height. I would like to produce a wireframe plot that colors the graph based on the flow code, i.e. I would like high flows to be red, medium to be green and low flows to be blue. Here is some sample data with the basic

Hi, I would like to create wireframe plots conditional on 2 variables and use different limits for the 3-axes in each plot. I thought I could do this with subscripts and the panel.wireframe but I haven't been successful. I am getting this error "...multiple actual arguments..." so I definitely don't have something set up correctly. Listed below is the code to generate the

Perhaps I am missing something incredibly basic, but I can't get the wireframe function to plot anything other than an empty graph with axes (and the correct scale). Cloud() works just fine, as does scatterplot3d(), and wireframe() works fine for other data sets I have. Are there some data sets that can't be plotted with wireframe()? If so, what are the characteristics that prevent

I wish to create a multipanel plot (map) from several datasets ("d" and "q" in the example below). I can condition the main xyplot statement on the "site" variable, but I don't know how to pass a conditioning variable to panel.xyplot plot so that the x-y coordinates from dataset q are only plotted at the appropriate site. library(lattice) d <-

I'm trying to create a 3D plot using wireframe with certain parts removed. I would like to get rid of the part of the outer cube that crosses over the plot leaving the back two walls and the axes. It would also be useful to put lines in the plot separate from the wireframe call. I've looked through the documentation and have not been able to find such a request. Here is my code

Dear R-help. When plotting 3D wireframe plots with the lattice package, there is often a lot of space between the actual plot (i.e., cube) and panel borders. For a single wireframe, this is not a problem, but when plotting multiple wireframes, the wasted space decreases the size of the plots very much. Is there a way to decrease this space/margin? I could not find any information about it in

Hi all, I'd like to plot the Real and Imaginary parts of some f(z) as two different surfaces in wireframe (the row/column axes are the real and imag axes). I know I can do it by, roughly speaking, something like plotz <- expand.grid(x={range of Re(z)}, y={range of Im(z), groups=1:2) plotz$func<-c(Re(f(z),Im(f(z)) wireframe(func~x*y,data=plotz,groups=groups) But that seems like a