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R For College Mathematics and Statistics

Thomas Pfaff
€109.99
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advanced R programming for statistics
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college student projects
computational mathematics
Confidence Interval
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Counter Clockwise
Cran Mirror
Data Frame
Data Set
data visualization
Default Confidence Level
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Discrete Mathematics
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Fibonacci Sequence
Function Uniroot
Graphing Frame
Graphing with R
Language_English
mathemaics education
Mathematical Expressions
mathematics classroom
matrix operations
Min 1Q Median 3Q Max
Multiple Linear Regression
numerical analysis
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phaseR package
Predator Prey Model
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probability simulations
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Pythagorean Triples
R users group
Random Normal Distribution
Regression
Residual Standard Error
Rgl Package
Scatter Plot
Shapiro Wilk Normality Test
softlaunch
Spearman's Rank Correlation Rho
Spearman's Rank Correlation Test
Spearman’s Rank Correlation Test
statistical computing
Statistics
symbolic computation
Taylor Polynomial
Wilcoxon Rank Sum Test
Wilcoxon Signed Rank Test

Product details

  • ISBN 9780367196851
  • Weight: 644g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Apr 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Description

R for College Mathematics and Statistics 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.

Features:

  • Does not require previous experience with R

  • Promotes the use of R in typical mathematics and statistics course work

  • Organized by mathematics topics

  • Utilizes an example-based approach

  • Chapters are largely independent of each other
About Thomas Pfaff
Thomas J. Pfaff is a professor of Mathematics at Ithaca College and served as the all college Honors Program director for three years. He was the PI on three-year NSF grant Multidisciplinary Sustainability Modules: Integrating STEM Courses. The scope of his publications range from traditional mathematics to applied mathematics, including the SABR newsletter, and sustainability to essays about higher education. His blog sustainbilitymath.org provides resources to incorporate sustainability ideas into mathematics courses and he is currently interested in using R for student projects in all courses.

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