By: Gunter Sawitzki
256 pages, 12 colour illustrations
Based on a condensed one-week course taught by the author, this text provides a concise introduction to the statistical software package R and its use in computational statistics. It covers the basics of R, including importing data, programming, and graphics. The author also explores data analysis, linear and nonparametric regression, residual diagnostic, statistical comparisons, and multivariate statistics. Integrating R code throughout, the text includes numerous examples and figures to illustrate the methods, provides all data sets and code on the R archive, and contains many exercises, enabling its use as a course text or for self-study.
Introduction. Bases. Involution. Comparison of Distributions. Dimensions 1,2,3-infinity. R as a Programming Language. Bibliography. Index.
There are currently no reviews for this product. Be the first to review this product!
StatLab, Heidelberg, Germany
Your orders support book donation projects
I am not an easy shopper to please, but NHBS goes beyond my highest expectations in every way
Search and browse over 110,000 wildlife and science products
Multi-currency. Secure worldwide shipping
Wildlife, science and conservation since 1985