similar to: wireframe color change from default

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)

Hi all and thanks in advance. I am regressing Time and Weight, and then predicting Weight at different Time. The format of the Time data is day/month/year. How can I get R to use time series data such as this? Keith -- M. Keith Cox, Ph.D. Alaska NOAA Fisheries, National Marine Fisheries Service Auke Bay Laboratories 17109 Pt. Lena Loop Rd. Juneau, AK 99801 Keith.Cox at noaa.gov marlinkcox at

I posted this earlier, but am not certain that it was in fact posted, so I will try again. Hi, I have an equation Xcp and would like to look at errors affecting it. I am applying errors of -.58 to .1 to R and -.45 to .47 to Xc. I would like to look at all combinations. I set up a matrix function as follows and it does not work. On the last line, when it run, it does not seem like the two X’s

Hi, I would like to add a color under a lm line and not the plotted line. Is this possible? In the example, I do not want the area under the curve red, but rather under the llm line. x=seq(0,5,len=100) y=-(x-5)^2 llm<-lm(y~x) plot(x,y) polygon(c(x,x[length(x)]), c(y, y[1]), col='red') abline(llm) keith -- M. Keith Cox, Ph.D. Alaska NOAA Fisheries, National Marine Fisheries Service

I would like to create a point plot with the following two sets of points: #1 plot(Day,Total) and #2 (Day,cons_hat). Total is the actual value seen and cons-hat is a predicted value. If possible, I do not want to stack them as they are quite long. (FYI, I did use the reshape on a previous post, thanks, but this one is different). Day Tank Tanks Total cons_hat 1 a a4 5.651017 5.59

I would like to calculate a first and second derivative and am having problems finding a simple solution. My syntax may be off as I am not a mathematician, so pardon ahead of time. data: t<-seq(0,4, by=.1) The function is: H(t) = t^3-6*t^2+5*t + 30 from here I plot the curve: plot(x,y ,xlab="x-values", ylab="f(x)", type="l") But would like to similarly plot the

When using a wireframe, I need to move the colorkey from the "right" position (default0 towards the plot. I have also needed to adjust the height and used the code colorkey=list(T,space='right',height=.5) I have looked at documents (within levelplot) but cannot find a way to move the colorkey other than right, left, bottom and top. I do not understand corner interacts with x,

I need a two sample t.test between M and F. The data are arranged in one column, x. Cant seem to figure how to run a two sample t.test. Not really sure what this output is giving me, but there should be no difference between M and F in the example, but summary p-value indicates this. How can I run a two sample t.test with data in one column. x=rep(c(1,2,3,4),2)

I have a data set with four columns and need to make boxplots from them. Data is as follows: tank Tanks Total cons_hat 1 a a4 5.651017 5.59 2 a a5 5.017499 5.29 3 a a6 4.894238 4.69 4 c c4 3.986347 3.40 5 c c5 4.099442 3.58 6 c c6 4.150522 3.64 7 h h4 5.187792 6.32 8 h h5 6.713422 6.44 9 h h6 5.168555

I need the parameters estimated for a non-linear equation, an example of the data is below. rm(list=ls()) Time<-c( 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 8, 8, 8, 8, 8) Level<-c( 100, 110, 90, 95, 87, 60, 65, 61, 55, 57, 40, 41, 50, 47, 44, 44, 42, 38, 40, 37, 37, 35, 40, 34, 32, 20, 22, 25, 27, 29) plot(Time,Level,pch=16) Keith

This data are kilojoules of energy that are consumed in starving fish over a time period (Days). The KJ reach a lower asymptote and level off and I would like to use a non-linear plot to show this leveling off. The data are noisy and the sample sizes not the largest. I have tried selfstarting weibull curves and tried the following, both end with errors. Days<-c(12, 12, 12, 12, 22, 22, 22,

OK, I need help plotting. I have column headings of Day, Wgt, Foodin, Rep, Grp and Tanks. Rep=c(1,2,3) and Tanks=c(a1,a2,a3,a4,a5,a6, c1,c2,c3,c4,c5,c6, h1,h2,h3,h4,h5,h6). I created a subset where I only would like Rep=2, and Tanks=c(a4,c4,h4) and would like to graph (points) of Wgt and Day. I would think that I only need 3 colors, but when I run with only 3, only 2 lines show up. When I add

Here is a runable program. When I plot Day and Wgt, it graphs all the data points. All I need is daily.sub1 plotted. I also need each "Tanks" to have its own col or pch. When I run it with the line with pch, it gives me nothing. rm(list=ls()) Trial<-rep(c(1,2),each=12) Tanks=rep(c("a3","a4","c4","h4"),each=3,2) Day=rep(c(1:12),2)

Hi, I have an equation Xcp and would like to look at errors affecting it. I am applying errors of -.58 to .1 to R and -.45 to .47 to Xc. I would like to look at all combinations. I set up a matrix function as follows and it does not work. On the last line, when it run, it does not seem like the two X’s are not the same. Example: it is NOT 1+(162/1), but using another “R” value.

Dear R Users, close to the end of this I used wireframe to create a 3D plot from a matrix. The x and y axis tick labels (1-6) for each were created from the matrix being a 6X6 matrix. I need the axis tick labels to be the row and column headings which you can see in the output (mat.x). I have tried several work arounds, but they have not been successful. Thanks in advance. keith rm(list=ls())

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

Dear R list, I have written some code to produce several wireframe plots in a panel. They look good, but when I try to create a pdf, many (but not all) of the details I have specified are not reproduced. For example, the line width I have specified is not reproduced, and neither are the font sizes for the axis labels. I'm an R novice, so I could really use some guidance. Here is the code I am

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) >

I have a few questions on formatting wireframe plots: 1. How can I remove (or at least "white-out") the border on the plot? (I.e., the 2-d box around the whole plotting area, not the 3-d cube). I'm willing to hack the code if necessary. 2. Is it possible to suppress plotting of all sides of the cube except for the axes? 3. Is there a reliable way to print expressions in