similar to: plane3d

Dear R helpers, I have a 3D scatter plot that I have generated from scatterplot3d (which looks great- thanks!) and I can see that the points in my graph fall in a plane. Following the example 5 from 3D scatter plot (below) I have fitted a regression plane. Now what I would like to do is a rotation so that my new co-ordinate system is about the fitted plane (by finding the normal to the plane

I have drawn a 3D scatter plot : library(mnormt) library(scatterplot3d) dat = cbind(rmnorm(3, rep(0,2), diag(2)), 1:3) scatterplot3d(dat) Now I want to do 2 things : 1 : In the Z-axis (i.e. height), I want to see only numbers 1,2,3, etc NOT, 1,1.5,2,2.5............. 2. I want to add two Horizontal planes at hight z=2 and z=3. Those two planes should look like "bottom" of that 3D plot

Hi All. I'd like to programm a 4 dimensional chart in R. Acctually I wanted to solve that problem in Excel cause I had the data there. Here is a link of my actual problem description (there are some chart pictures as well).... http://www.mrexcel.com/board2/viewtopic.php?t=187336&highlight=stacked+column because I still couldn't solve that problem I came to R. The chart should be

For use with rgl, I'm looking for a function to draw a plane in an rgl scene that would function sort of like abline(a, b) does in base graphics, where abline(0, 1) draws a line of unit slope through the origin. Analogously, I'd like to have a plane3d function, so that plane3d(0, 1, 1) draws a plane through the origin with unit slopes in x & y and plane3d(3, 0, 0) draws a

I need to create artificial datasets with specific correlation coefficients (i.e. a dataset that returns r = 0.30, etc.) as examples for a lab I am teaching this summer. Is there a way to do that in R? Thanks. Jim Milks Graduate Student Environmental Sciences Ph.D. Program 136 Biological Sciences Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435 [[alternative HTML version

I am running R 2.01 on Mac OS 10.3.7. Whenever I save graphs, they are saved as PDF files. Are there any other file formats to which I could save my graphs. I would like to directly export my graphs to MS Word, if possible. Thank you in advance. Sincerely, Jim Milks Graduate Student Environmental Sciences Ph.D. Program Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435

I tried to run the following example from section 4.1.4 of the "Scatterplot3d - an R package for Visualizing Multivariate Data" vignette and got an error on the part that plots the regression plane: > library(scatterplot3d) > data(trees) > s3d <- scatterplot3d(trees, type = "h", color = "blue", + angle = 55, scale.y = 0.7, pch = 16, main = "Adding

I have data on number of vines per tree for ~550 trees. Over half of the trees did not have any vines and the data is fairly skewed (median = 0, mean = 1.158, 3rd qu. = 1.000). I am attempting to investigate whether plot location (four sites), species (I'm using only the four most common species), or tree dbh has a significant influence on the number of vines per tree. When I

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

Hey guys, Not sure if I encountered a bug with the scatterplot3d function. Here's the calls I made: s3d1 <- scatterplot3d(TotLogDisttenp,TotDifftenp,TotMeasuredRSLtenp,pch=16,highlight.3d=TRUE,angle=40,type="h",main="MRSL ~ LogDist + Diff"); s3d1$plane3d(fitols); s3d1 <-

Dear All, I have a rather unusual problem. I have a set of data for a class in subsurface processes. From that dataset, I must calculate the slope of the best-fit line (which is the parameter of interest). The problem I have is twofold: 1) for the purposes of the exercise, I must force my best-fit line to go through the origin (0,0), and 2) the line must be linear, even though the data is

Dear All,   using the example from the package scatterplot3d I created a 3d plot as follows:   x <-rnorm(500,50,2) y <-rnorm(500,5,1) z <-rnorm(500,6,1) scatterplot3d(x, y, z, highlight.3d=TRUE, col.axis="blue",col.grid="lightblue", main="scatterplot3d - 1", pch=20)   I would like to ask if anyone could help me with the following:   1. I would like to draw  a

R gurus, I have a data set that looks something like this: Site Species DBH #Vines G PLOC 45.9 4 G ACNE 23.3 1 G ACNE 12.0 0 G FRAM 35.9 5 G AEGL 11.2 2 N PLOC 77.3 12 N JUNI 78.6 7 N ACNE 18.9 1 N ACNE 15.7 3 N ACRU 35.5 4 H ACSA2 24.1 6 H ULAM 35.2 7 There are 730 individual trees (22 species) from four sites in the actual data set. I would like to create a second data frame that

R gurus, I'm working on data analysis for a small project. My response variable is total vines per tree (median = 0, mean = 1.65, min = 0, max = 24). My predictors are two categorical variables (four sites and four species) and one continuous (tree diameter at breast height (DBH)). The main question I'm attempting to answer is whether or not the species identity of a tree has

Thank you for your replies so far. Sorry for bothering you again, but I'm still not able to get what I need as I don't understand all parts of the replies (just using R for easy things....). Is there a code for plane3d() like some of you sent me for points3d()? I was not able to get that out of the scatterplot3d package... What I can do is to get the x,y and z-range for the xlim,ylim and

Hi all, I've been using the scatterplot3d function (from the scatterplot3d library) to create 3D plots. I was wondering whether there is anyway to group the points according to a particular group variable. For example I used the plot function as plot( factor( <GROUPINGVAR> ) , <PLOTVARS> ) to organise the results in a according to the grouping variable. I was wondering

Dear all I am running R 1.4.1 on a Linux box. I have tried to label data points in a 3-d scatterplot, but without much success. What I did was as follows: > scatterplot3d(x, y, z) > identify(x, y, z, row.names(Data)) When I tried to click on/near the data points, I either receive this msg: warning: no point with 0.25 inches, or some numbers in Data, not the row names, come up on the

Greetings. I'm about to embark on my first big (to me at least!) R project, which will be to write a function to plot three-dimensional multiple correspondence analysis (mca) plots in a manner similar to scatterplot3d(). (plot.mca() plots only two dimensions, even though mca() will calculate more.) Before I do so, however, I would love to know that I'm not reinventing the wheel or any

Hello, I am trying to replicate example 4 in the package 'scatterplot3d': s3d.dat_data.frame(cols=as.vector(col(my.model4)), rows=as.vector(row(my.model4)), value=as.vector(my.model4)) scatterplot3d(s3d.dat, type="h", lwd=5, pch=" ", x.ticklabs=colnames(my.model4), y.ticklabs=rownames(my.model4), main="Conditional probabilities, Model 3") Nice! but,

Dear R Gurus, Let's get the technical details out of the way first: Computer: 1.83 GHz MacBook R version 2.5.1 I have a data set that contains the following variables: site, species, total.vines. I need to partition the main data set by site, the further select only those species that occurred at each site. When I select by site (site.name<-subset(data frame,Site=="Site