02600cam a22002295i 4500008003700000020001800037082002900055100002400084245005300108250001200161260004800173300001600221504027000237520152300507650003702030650002302067650002702090700003402117942000702151999001902158952019302177161128t2016nyua 001 0 eng d a978110757646904a519.502855133bB7F4-20161 aBraun, John933816412aA first course in statistical programming with R a2nd ed. aCambridgebCambridge University Pressc2016 axiv, 215 p. aTable of Contents
1. Getting started
2. Introduction to the R language
3. Programming statistical graphics
4. Programming with R
5. Simulation
6. Computational linear algebra
7. Numerical optimization
Appendix. Review of random variables and distributions
Index.
aThis new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
Self-contained and accessible to anyone familiar with university-level calculus
The basics of R syntax and statistical graphics are explained with real R code
Programming ideas, including good, efficient style and debugging, are introduced
Applications in simulation and optimization as well as numerical linear algebra are discussed.
http://admin.cambridge.org/hu/academic/subjects/statistics-probability/computational-statistics-machine-learning-and-information-sc/first-course-statistical-programming-r-2nd-edition?format=PB 0aComputer program language955638 0aStatistics9338165 0aData processing9411001 aMurdoch, Duncan James9338166 cBK c205101d205101 00102ddc406519_502855133000000_B7F42016708NFIC9344342aVSLbVSLcGENd2016-12-07e12g2132.88l7m16o519.502855133 B7F4-2016p193325q2021-06-22r2021-03-20s2021-03-20v2666.11yBK