similar to: Principal Surface function help

Dear R users, I want to know, given a curve f in d-dimensional space, It is possible to keep the curve’s shape and size unchanged by an arbitrary dxd orthnormal matrix A? That is, the new curve g = A*f is still the same shape and size as f? Thanks for your advices and answers. Fred [[alternative HTML version deleted]]

I believe eigen(), svd() and qr() can all do it. Andy > From: Jonathan Baron > > On 06/17/04 19:04, Fred wrote: > >Dear R-listers: > > > >I am trying to test an algorithm on a set of linearly > independent vectors > >{x1,x2,...,xn}. > > Well, here's an idea, for 10 vectors of length 10, > as columns of a matrix m1. The 11th seems to be needed.

Dear All Maybe the following is a stupid question. Assume I have 3 coordinate points (not limited to be in 2D or 3D space) a, b, c. It is known that these 3 points will define a plane. The problem is how to get the normal direction that is orthogonal to this plane. Is there an easy way to calculate it using the values of a, b, and c? Thanks for any point or help on this. Fred

Hey, R-listers I am a new user of R and just found the package of PCURVE which can estimate principal curve for arbitrary dimensional data set. Now I have some 2-Dimensional data set X, which is stored as an Nx2 matrix in data.txt file and looks as following: -1.5551 2.4183 1.0051 1.0102 0.90644 0.82163 1.3248 1.7551 -1.3626 1.8568 -1.3554 1.8371 0.039396 0.0015521 -0.99622 0.99245 0.2314

Hello, I need to do a principal component analysis with EQUAMAX-rotation. Unfortunately the function principal() I use normally for PCA does not offer this rotation specification. I could find out that this might be possible somehow with the package GPArotation but until now I could not figure out how to use this in the principal component analysis. Maybe someone can give an example on how to do

Hello, I would like to write a program that compute the principal components of a set of data and then 1. Run the dependent variable against the principal components (lagged value) 2. Do prediction , following Stock and Watson (1999) "Forecasting Inflation". All data are time series. Now I can run the program using single factor (first principal component), but I

Hello, Is it possible to draw level lines on the surface of a bivariate function? In the following example, to draw surface and levels lines for a multivariate normal law, I use persp, trans3d, contourLines and lines, but if the lines are correctly drawn, some parts of them are, of course, visible even if they are drawn on a non visible "face". Any suggestion to avoid this problem

Hello, I created a 3d surface (persp) with some points overlaid on it, which is fine. Now I have a second set of z-values(x,y-values same as the first surface), which I would like to make visible on the same graph, however, not as a surface, but rather as coloured contour on the first surface, so that the resulting graph will consist of the original surface having the colour of the second

All: Anyone have an idea about how to plot a PLS biplot on the x-y plane under a 3-D surface? Preferably a 3-D surface such as one created with rgl.surface() (meaning, I would love an interactive plot when all is said and done). I have seen examples which combine a 3-d surface with contour plot (e.g.

Hi, I'd like to (1) plot a perspective view of a 3D scatterplot, with a fitted (curved) surface; (2) have a "stick" from each point vertically to the surface. The latter helps one visualize where a point lies in 3D, relative to the surface. Is there a variant of the cloud function (lattice package) which might do this? As far as I can tell, the cloud function will

I wanted a simple function for bilinear interpolation on a 2-D grid, and interp.surface() in the fields package didn't quite suit my needs. In particular, it requires uniform spacing between grid points. It also didn't have the "visual" reference frame I was looking for. Here is an alternative function, followed by an example. # A function for bilinear interpolation on a 2-d

Hi, I have been trying to make a surface plot using R - I came across functions like plot.surface, surface but I could not use these functions as they seem to be in FOO package which I cannot load. I also want to make a plane that fits the surface plot. Can anyone help? divya [[alternative HTML version deleted]]

Dear R-experts, Using persp3d(), I plotted a 3d surface. I would like to colour this surface based on the result values (dependent variable) grouped in, say, three to five different ranges. Later, I would also like to paint the same surface based on the range-values of one of the independent variables. Please help. Thank you. Regards, Suresh -- View this message in context:

I have data set with binary responses. I would like to conduct polychoric principal component analysis (pPCA). I know there are several packages used in PCA but I could not find one that directly estimate pPCA and graph the individuals and variables maps. I will appreciate any help that expand these reproducible scripts. #How to conduct polychoric principal component analysis pPCA using #either

https://bugs.freedesktop.org/show_bug.cgi?id=51291 Bug #: 51291 Summary: Segfault with mplayer -vo vdpau: vlVdpVideoSurfaceClear at surface.c:366 Classification: Unclassified Product: Mesa Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal

Hi, I would like to plot a matrix which comprises 3 columns. So first column should be the x-axis. Second the y-axis and the third one should be the z-axis. I know that I can plot such data using the scatterplot3d, but I would like to have a surface plot like you can do with wireframe and persp. But both, persp and wireframe, want to have x and y as descending data, at least persp. I am not sure

Dear helplist members, I have been using 'wireframe()' to make 3d plots using the following call: wireframe (temp ~ xc2 * mc2, screen = list(z = 230, x = -70, y = 0), scales = list (arrows = FALSE)) and these three vectors: xc2 mc2 temp [1,] 0.1 0.04 0.049797615 [2,] 0.2 0.04 0.049161159 [3,] 0.3 0.04 0.048006702 [4,] 0.4 0.04 0.046208311 [5,] 0.5 0.04

Hallo! ? I just want to make a 3D plot of a surface of a cone and want to plot some single points around. ? I tried wireframe but cannot find how to plot single points ? I tried scatterplot3d but there the surface is not simple to plot. And: How can I rotate the point of view by the z-axis ? I tried persp3d but how can I add some single points? ? Example: ? library(lattice) library(scatterplot3d)

I have what is probably a noob question, but.... I am trying to create a 3d plot to illustrate the range of values for the following simple function: A = B*(C/D) B, C, and D are independent variables whose range are equal (e.g. 1 to 3 inclusive) I figure it's not possible to map the surface of A on the 3d space defined by B, C and D but I would like to create a surface defined by the

Hi, I'm looking for ideas or packages with relevant algorithms for calculating the connectivity across a grid, where connectivity is defined as the minimum amount of cross-sectional area along a continuous path. The upper boundary of the cross-sectional area is a fixed elevation, and the lower boundary is a gridded surface of variable elevation. My variable elevation surface represents the