search for: 700x700

Hi, Is there a way to convert a matrix into a vector representing all permutations of values and column/row headings with native R functions? I did this with 2 nested for loops and it took about 25 minutes to run on a ~700x700 matrix. I'm assuming there must be a smarter way to do this with R's vector commands, but being new to R, I'm having trouble making it work. Thanks, Ian [a] [b] [c] [d] 1 4 7 [e] 2 5 8 [f] 3 6 9 a d 1 a e 2 a f 3 b d 4 b e 5 b f 6...

...x1200 matrix (sec): 0.973333333333333 1250x1250 normal distributed random matrix ^1000____ (sec): 2.25333333333333 Sorting of 1,100,000 random values__________________ (sec): 0.463333333333335 550x550 cross-product matrix (b = a' * a)___________ (sec): 0.463333333333331 Linear regression over a 700x700 matrix (c = a \ b') (sec): 1.75 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 0.924125732935107 II. Matrix functions -------------------- FFT over 900,000 random values______________________ (sec): 1.53666...

Hi, Is there a way to convert a matrix into a vector representing all permutations of values and column/row headings with native R functions? I did this with 2 nested for loops and it took about 25 minutes to run on a ~700x700 matrix. I'm assuming there must be a smarter way to do this with R's vector commands, but being new to R, I'm having trouble making it work. Thanks, Ian [a] [b] [c] [d] 1 4 7 [e] 2 5 8 [f] 3 6 9 a d 1 a e 2 a f 3 b d 4 b e 5 b f 6...

...ation > --------------------- >Creation, transp., deformation of a 1500x1500 matrix (sec): >1.97333333333333 >800x800 normal distributed random matrix ^1000______ (sec): >2.80999999999999 >Sorting of 2,000,000 random values__________________ (sec): >1.20333333333333 >700x700 cross-product matrix (b = a' * a)___________ (sec): >1.84000000000000 >Linear regression over a 600x600 matrix (c = a \ b') (sec): >2.43666666666666 > -------------------------------------------- > Trimmed geom. mean (2 extremes elimin...

...eing Matlab 6.0 R12 (column C). Serie I: Matrix calculation 1 = Creation, transposition, deformation of a 1200x1200 matrix, 2 = 1250x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programm...

...eing Matlab 6.0 R12 (column C). Serie I: Matrix calculation 1 = Creation, transposition, deformation of a 1200x1200 matrix, 2 = 1250x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programm...

...eing Matlab 6.0 R12 (column C). Serie I: Matrix calculation 1 = Creation, transposition, deformation of a 1200x1200 matrix, 2 = 1250x1250 normal distributed random matrix ^1000, 3 = Sorting of 1,100,000 random values, 4 = 550x550 cross-product matrix (b = a' * a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programm...