R for college mathematics and statistics/ Thomas J Pfaff

Includes bibliography and index

Getting started -- Functions and their graphs -- Graphing -- Polynomials -- Sequences series and limits -- Calculating derivatives -- Riemann sums and integration -- Planes surfaces rotations and solids -- Curve fitting -- Simulation -- The Central limit theorem and Z-test -- The T-test -- Testing proportions -- Linear regression -- Nonparametric statistical tests -- Miscellaneous statistical tests -- Matrices -- Differential equations -- Some discrete mathematics -- A Loops vectors and apply -- B Arctic sea ice data

This book encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics.

R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course.