Closed dumbdrummer182 closed 6 years ago
Thanks. Can you provide a simple reproducible example?
I noticed it while working with the dummy matrix:
X <- matrix(seq(1, 9), nrow = 3, ncol = 3, byrow = TRUE)
Here's what I get:
library(matlib) X <- matrix(seq(1, 9), nrow = 3, ncol = 3, byrow = TRUE) res <- QR(X) (. . . some warnings about deprecated computations) q <- res$Q zapsmall(t(q) %% q) [,1] [,2] [,3] [1,] 1 0 0 [2,] 0 1 0 [3,] 0 0 0 q %% res$R [,1] [,2] [,3] [1,] 1 2 3 [2,] 4 5 6 [3,] 7 8 9
So what's the problem? Your matrix X is of rank 2 -- what did you expect to see?
Best, John
John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada Web: socialsciences.mcmaster.ca/jfox/
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I noticed it while working with the dummy matrix:
X <- matrix(seq(1, 9), nrow = 3, ncol = 3, byrow = TRUE)
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Sorry. On the res$R I am getting [,1] [,2] [,3] [1,] -8.124 -9.6011 -11.0782 [2,] 0.000 -0.9045 -1.8091 [3,] 0.000 0.0000 0.0000
versus [,1] [,2] [,3] [1,] -8.124 -9.6011 -11.0782 [2,] 0.000 0.9045 1.8091 [3,] 0.000 0.0000 0.0000 when using the base R, qr function.
Yes, and there's a compensating sign reversal in the Q matrix. As I showed you in my previous response, X is properly recovered.
John
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Sorry. On the res$R I am getting [,1] [,2] [,3] [1,] -8.124 -9.6011 -11.0782 [2,] 0.000 -0.9045 -1.8091 [3,] 0.000 0.0000 0.0000
versus [,1] [,2] [,3] [1,] -8.124 -9.6011 -11.0782 [2,] 0.000 0.9045 1.8091 [3,] 0.000 0.0000 0.0000 when using the base R, qr function.
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The QR function does not seem to be working correctly. It does not return the same value as the base R qr function. Also, the t(q) %% q doesn't equal I, and q r doesn't equal A.