Hopefully, throughout this chapter, you learned a variety of methods and techniques to optimize a variety of functions. We covered how to use a wide range of R packages and functions to set up, solve, and visualize different optimization problems, so you should be ready to give your own minimization and maximization problems a try. Now that you are much more familiar with R and its packages for scientific computing, we are ready to move on to our last chapter, which will teach you to clean up and manage your data for efficient programming and analysis in R.
Mastering Scientific Computing with R
Mastering Scientific Computing with R
Overview of this book
Table of Contents (17 chapters)
Mastering Scientific Computing with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Programming with R
Statistical Methods with R
Linear Models
Nonlinear Methods
Linear Algebra
Principal Component Analysis and the Common Factor Model
Structural Equation Modeling and Confirmatory Factor Analysis
Simulations
Optimization
Advanced Data Management
Index
Customer Reviews