Introduction:
R started out as a computational tool for the applied statistics community but has matured into a fully featured (interpreted) programming language for general scientific computing and graphing. We will use it for our computational laboratories in this course:


Resources:

R Project

RStudio IDE
Search CRAN


Handy R-programs and scripts for the course:

• File: libs_install_and_check.R. Install handy R package of programs and utilities for the course. 
• File: Numerov.functions.R. Functions to solve our special second order diff eqs
• File: Numerov_control_script.R. Use the functions with this script