search for: escoufier

...ppe Grosjean # eMail : phgrosjean at sciviews.org # Web : http://www.sciviews.org # License: GPL 2 or above at your convenience (see: http://www.gnu.org) # # Several tests are adapted from the Splus Benchmark Test V. 2 # by Stephan Steinhaus (stst at informatik.uni-frankfurt.de) # Reference for Escoufier's equivalents vectors (test III.5): # Escoufier Y., 1970. Echantillonnage dans une population de variables # aleatoires r??les. Publ. Inst. Statis. Univ. Paris 19 Fasc 4, 1-47. ... Error in getClass(Class, where = topenv(parent.frame())) : "geMatrix" is not a defined class Calls: n...

...225,000 Fibonacci numbers calculation (vector calc)_ (sec): 0.25 Creation of a 1500x1500 Hilbert matrix (matrix calc) (sec): 0.49333333333333 Grand common divisors of 35,000 pairs (recursion)___ (sec): 0.539999999999997 Creation of a 220x220 Toeplitz matrix (loops)_______ (sec): 0.896666666666666 Escoufier's method on a 22x22 matrix (mixed)________ (sec): 0.159999999999997 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 0.405344927915484 Total time for all 15 tests_________________________ (sec): 14.96 Overall mean...

...x, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a 22x22 matrix (mixed) Times are in sec. Software A B C D E F(R) G H I J K L Serie I. -------- 1 1.03 1.35 0.95 1.23 2.19 2.79 4.24 2.91 1.00 1.92 2.95 2.67 2 2.60 2.48 0.99 2.91 0.76 2.88 2.76 1.41 2.61...

[This is a follow up on gcc3 vs. gcc4 discussion. Background: R benchmark tests ( http://www.sciviews.org/benchmark/index.html ) show a dramatic difference in "Escoufier's method on a 37x37 matrix (mixed)" test when comparing binaries for PowerPC compiled with gcc3 vs gcc4.] On Oct 16, 2006, at 11:29 AM, Ren? J.V. Bertin wrote: > Anyway, it has nothing to do with the G4 optimisations, as the > generic 2.4.0 on CRAN also shows the same perform...

This is a general statistics question so I'm sorry if its outside the field of r help. Anyway, I have a suite of female and male traits and I have made a matrix of correlation coefficients using rcorr(). This results in a 6 by 6 matrix like this.. [1] 0.11287990 0.20441361 0.23837442 0.04713234 0.04331637 0.01461611 [7] 0.22627981 0.11720108 0.14252307 0.19531625 0.29989953 0.09989502

...-- 3,500,000 Fibonacci numbers calculation (vector calc)(sec): 1.25633333333335 Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec): 0.894999999999982 Grand common divisors of 400,000 pairs (recursion)__ (sec): 1.714 Creation of a 500x500 Toeplitz matrix (loops)_______ (sec): 1.4013333333333 Escoufier's method on a 45x45 matrix (mixed)________ (sec): 2.041 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.44505946077978 Total time for all 15 tests_________________________ (sec): 88.6306666666667 Overall mean (sum of I, II and III trimmed means/3)_ (...

Hi all, I am trying to compare two distance matrices with R. I would like to create a XY plot of these matrices and do some linear regression on it. But, I am a bit new to R, so i have a few questions (I searched in the documentation with no success). The first problem is loading a distance matrix into R. This matrix is the output of a the Phylip program Protdist and lookes like this: 5

...-- 3,500,000 Fibonacci numbers calculation (vector calc)(sec): 1.25633333333335 Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec): 0.894999999999982 Grand common divisors of 400,000 pairs (recursion)__ (sec): 1.714 Creation of a 500x500 Toeplitz matrix (loops)_______ (sec): 1.4013333333333 Escoufier's method on a 45x45 matrix (mixed)________ (sec): 2.041 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.44505946077978 Total time for all 15 tests_________________________ (sec): 88.6306666666667 Overall mean (sum of I, II and III trimmed means/3)_ (...

Hi all, Suppose I have 2 matrices A and B. And I want to measure how good each of this matrix is. So I intend to compare A and B with another "gold standard" matrix X. Meaning the more similar a matrix to X the better it is. What is the common way in R to measure matrix similarity (ie. A vs X, and B vs X) ? - Gundala Viswanath Jakarta - Indonesia

...x, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a 22x22 matrix (mixed) Times are in sec. Software A B C D E F(R) G H I J K L Serie I. -------- 1 1.03 1.35 0.95 1.23 2.19 2.79 4.24 2.91 1.00 1.92 2.95 2.67 2 2.60 2.48 0.99 2.91 0.76 2.88 2.76 1.41 2.61...

...x, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a 22x22 matrix (mixed) Times are in sec. Software A B C D E F(R) G H I J K L Serie I. -------- 1 1.03 1.35 0.95 1.23 2.19 2.79 4.24 2.91 1.00 1.92 2.95 2.67 2 2.60 2.48 0.99 2.91 0.76 2.88 2.76 1.41 2.61...