Recommended books

Books:
  1. Peter Dalgaard, Introductory Statistics with R,
    Springer, 2002.
  2. W.John Braun, Duncan J. Murdoch, A First Course in Statistical Programmimg with R,
    Cambridge University Press, 2007.
  3. Geof H. Givens and Jennifer A. Hoeting, Computational Statistics,
    Wiley, 2005.
  4. Wendy L. Martinez and Angel R. Martinez, Computational Statistics Handbook with MATLAB,
    Chapman & Hall/CRC, 2002.
  5. Lars Eldén. Matrix Methods in Data Mining and Pattern Recognition.
    SIAM, Philadelphia, PA, Philadelphia, PA, USA, 2007.
Lecture notes and other manuals:
  1. The R manuals (CRAN)
  2. Introduction to R (borrowed from Dr. Myron Hlynka )
  3. Intro to Statistics (numerical point of view) (LE)
  4. Introduction to R (MN)
  5. Pseudoinverses (LE)
  6. LS and QR (LE)
  7. SVD (LE)
  8. Sparse matrices (MN)
  9. Classification of handwritten digits (LE)