similar to: Lattice: correct use of ltransform3dto3d to plot a surface under a cloud ?

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

Good morning gentlemen! I'm not a fan of the lattice due to a large number of procedures what should be done to reach a simple goal, but have confess that in some cases the graphics are way better than the graphics. Some days I have been searching without success as is to add a cut-off point on a graph of response surface. It is interesting that the researcher to look at the graph spotting

Hi all, I'd like to plot a set of data (x,y,z) as 3D-cloud, and add several line plots to the same 3D graph: Two questions: 1) How do I connect points to get a line? > cloud(z~x*y,data=d,zlim=c(0,1)) # works > cloud(z~x*predict(l),data=d,zlim=c(0,1),type="l") # type="l" doesn't Warning message: type = l not implemented, consider using

Hi, I'm trying to follow the suggestions given by Deepayan Sarkar in this message: http://tolstoy.newcastle.edu.au/R/help/05/11/16135.html to plot 3-D points on a wireframe plot. The problem is that I keep getting a partly formed plot- with the colored lattice visible but no axis labels or additional points- with the error message "error using packet 1, 'x' and 'units'

I am using the wireframe function from lattice package. The problem that I have is very interesting. Namely, this is my code: x= seq(-pi, pi, len = 20) y=seq(-pi, pi, len = 20) xyz= expand.grid(x = x, y = y) xyz$z=sin(sqrt(xyz$x^2 +xyz$y^2)) trellis.par.set("axis.line",list(col="transparent")) trellis.par.set("panel", list(col="transparent"))

Hello all, I’m trying to add some data points to a wireframe. X an Y axis are independent variables, Z axis is predicted probability. I’d like to add the original data points on which the predicted probabilities are based to the wireframe. I’ve followed some of the previous post on this but get stuck : ## first part yields the wireframe## setwd("C:/Temp") rnp <-

I am working on plotting a response surface using wireframe(). The default style/orientation is z | | y | \ | \ | \ | \ | \ | \ | \ | \|________________x 0 Now what I want the orientation of axes is: z | | | |

Hello, hopefully simple question, but I cannot find the answer. I need to change the color from the standard default. Still want the scaled colors, but need different colors for different graphs. Code is: wireframe(z ~ y*x, mat.df, drape = TRUE, zlab = list("Water mass error (%)",rot=92), zlim=c(-50,180), xlab = list("Resistance error

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

Hi all, I've read the emails of Dan, Deepayan and Sundar about adding error bars to the lattice plots ( https://stat.ethz.ch/pipermail/r-help/2006-October/114883.html), but I still have the problem when I want to adding error bars to barchart. I tried both the solution of Deepayan and Sundar but without luck. Here is my code (I changed prepanel.ci and panel.ci a little to plot bars

Hello, hopefully simple question, but I cannot find the answer. I need to change the color from the standard default. Still want the scaled colors, but need different colors for different graphs. Code is: wireframe(z ~ y*x, mat.df, drape = TRUE, zlab = list("Water mass error (%)",rot=92), zlim=c(-50,180), xlab = list("Resistance error

I need grayscale formatting for a wireframe. The only col.regions that I can find are color palettes are all colored: rainbow(n, s = 1, v = 1, start = 0, end = max(1,n - 1)/n, gamma = 1, alpha = 1) heat.colors(n, alpha = 1) terrain.colors(n, alpha = 1) topo.colors(n, alpha = 1) cm.colors(n, alpha = 1) The code follows: X11() library(lattice) par(family="serif", cex=1.2)

How can I change the tick mark values in lattice, specifically wireframe? I have a 11*46 matrix of values that I am plotting using wireframe. Unfortunely, the values range from 0.1-1.1 and 0.5-5. Using the code below the tick marks have are (2,4,6,8,10) and (10,20,30,40). Thanks in advance. graphic5 <- wireframe(output.matrix, shade= TRUE, scales = list(arrows = FALSE, cex=.6,

This is a solution I am posting for a problem that others may have. If you want to: 1. Place lattice graphics from R into an Adobe InDesign document, and 2. Use the export as eps function in R to maximize resolution (it is much better than exporting as a metafile or bitmap), and 3. Use long strings of text in your titles or captions or to label your axes. Then you will have problems because:

hello, i want to stack two lattice plots beneath each other using one x-axis and sharing the same text-panels, like: ##################################################################### library(lattice) y1 <- rnorm(100,100,10) y2 <- rnorm(100,10,1) facs<-expand.grid(Sites=rep(c("Site I","Site II"),25),Treatment=c("A","B")) pl1<-dotplot(y1 ~

Hello folks, i'm a R beginner and i want to put in a same plot both contour lines and persp plot. For example, fn<-function(x,y){sin(x)+2*y} #this looks like a corrugated tin roof x<-seq(from=1,to=100,by=1) #generates a list of x values to sample y<-seq(from=1,to=100,by=1) #generates a list of y values to sample z<-outer(x,y,FUN=fn) #applies the funct. across the combos of x

Hi All, Does anyone know of a function to plot a regression surface for two predictors? RSiteSearch()s and findFn()s have not turned up what I was looking for. I was thinking something along the lines of: http://mallit.fr.umn.edu/fr5218/reg_refresh/images/fig9.gif I like the rgl package because showing it from different angles is nice for demonstrations. I started to write my own, but it has

Dear R-users, i want to plot gene regulation data in a lattice barchart. To illustrate the problem i encounter, the following code uses the "barley"dataset: library(lattice) barley[["SD"]] <- 5 PLOT <- barchart(data=barley, yield~variety|site, groups=year,origin=0, as.table=TRUE, scales=list(x=list(relation="same", rot=30), y=list(alternating=3,tck=-1)),

Hi All, I need some help in putting text in a stacked barplot. The barplot is filled with 5 levels and now I would like to put text to each level in the stacked barplot. However, it seems that the code that I am using is not placing the text at the correct hight (centered at each fill) in the barplot. Any suggestions to improve the code to make it work? barchart(FREQ ~ VISIT

Hi R-users, I try to put image legend via image.plot function, but I do not know put this in log scale. The last line of code put legend in linear scale, but I want put this in log scale. This is a image of the ocean color web site 8-day composite L3 4KM. Anybody colud get me advise please. This is de code... uno<-schl[1,,] rn_cl<-exp(range(uno,na.rm=T)) x11()