search for: 45x45

...ng the R gurus will be able to help resolve. For background: My data is in the form of a (dis)similarity matrix created from taking the inverse of normalized reaction times. That is, each cell of the matrix represents how long it took to distinguish two stimuli from one another-- a square matrix of 45X45 where the diagonal values are all zero (since this represents two identical stimuli). I have been using cmdscale with this matrix as the input-- So: X = cmdscale(mydata,k=44,add=FALSE,eig=TRUE)$points returns a 45x34 matrix because only 34 of the eigenvalues > 0 I then run prcomp on the (tra...

...rs 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)_ (sec): 3.11209972260597 -...

...rs 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)_ (sec): 3.11209972260597 -...