Displaying 5 results from an estimated 5 matches for "1200x1200".
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1600x1200
2007 Dec 12
3
combine variables to matrix
I just got stuck with a quite simple question. I've just read in an
ASCII table from a plain text file with read.table(). It's a 1200x1200
table. R has assigned variables for each column: V1,V2,V3,V4,...
For small data sets
data <- read.table("data.txt");
data.matrix <- cbind(V1,V2,V3);
works. But how could I put together 1200 columns?
I've searched the R mailing help and stumbled upon this entry:
https://stat....
2002 Oct 09
0
R 1.6.0 benchmark with and without optimized ATLAS
...est is available on the web page
(see http://www.sciviews.org/other/benchmark.htm).
- R 1.6.0 with standard Rblas.dll
R Benchmark
===========
Number of times each test is run__________________________: 3
I. Matrix calculation
---------------------
Creation, transp., deformation of a 1200x1200 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 700x7...
2001 Apr 27
2
Benchmarking R, why sort() is so slow?
...ts each. A trimmed mean is considered for each
serie (best and worst scores eliminated). The tests are scaled to be done in
approx. 1 sec on the reference computer with the reference software being
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 = Ei...
2001 Apr 27
2
Benchmarking R, why sort() is so slow?
...ts each. A trimmed mean is considered for each
serie (best and worst scores eliminated). The tests are scaled to be done in
approx. 1 sec on the reference computer with the reference software being
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 = Ei...
2001 Feb 16
1
Sub_scribe and a question
...ts each. A trimmed mean is considered for each
serie (best and worst scores eliminated). The tests are scaled to be done in
approx. 1 sec on the reference computer with the reference software being
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 = Ei...