The R Book || Regression

The R Book (Crawley/The R Book) || Regre

The R Book (Crawley/The R Book) || Regression

✍ Crawley, Michael J. 📂 Article 📅 2012 🏛 John Wiley & Sons, Ltd 🌐 English ⚖ 589 KB

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software

The R Book (Crawley/The R Book) || Non-L

The R Book (Crawley/The R Book) || Non-Linear Regression

✍ Crawley, Michael J. 📂 Article 📅 2012 🏛 John Wiley & Sons, Ltd 🌐 English ⚖ 284 KB

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software

The R Book || Non-linear Regression

✍ Crawley, Michael J. 📂 Article 📅 2007 🏛 John Wiley & Sons, Ltd ⚖ 277 KB

Book review: Methods and applications of

Book review: Methods and applications of linear models: regression and the analysis of variance by Ronald R. Hocking, Wiley, New York, 1996. No. of pages: 731. Price (cloth): $69.95.

✍ G. Janacek 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 17 KB 👁 2 views

## BOOK REVIEW Methods and Applications of Linear Models: on examining the data and transformations as well as theorems. Almost all the topics I use to test the Regression and the Analysis of Variance by Ronald R. Hocking, Wiley, New York, 1996. No. coverage were in the index -those that were not

Beginning R || Logistic Regression

✍ Pace, Larry 📂 Article 📅 2012 🏛 Apress 🌐 English ⚖ 451 KB

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was de

R by Example || Regression

✍ Albert, Jim; Rizzo, Maria 📂 Article 📅 2011 🏛 Springer New York ⚖ 320 KB