KNex {Matrix} | R Documentation |
A model matrix mm
and corresponding response vector y
used in an example by Koenker and Ng. The matrix mm
is a sparse
matrix with 1850 rows and 712 columns but only 8758 non-zero entries.
It is a "dgCMatrix"
object. The vector y
is just
numeric
of length 1850.
data(KNex)
Roger Koenker and Pin Ng (2003). SparseM: A sparse matrix package for R; J. of Statistical Software, 8 (6), doi: 10.18637/jss.v008.i06
data(KNex) class(KNex$mm) dim(KNex$mm) image(KNex$mm) str(KNex) system.time( # a fraction of a second sparse.sol <- with(KNex, solve(crossprod(mm), crossprod(mm, y)))) head(round(sparse.sol,3)) ## Compare with QR-based solution ("more accurate, but slightly slower"): system.time( sp.sol2 <- with(KNex, qr.coef(qr(mm), y) )) all.equal(sparse.sol, sp.sol2, tolerance = 1e-13) # TRUE