R Student Companion

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A01=Brian Dennis
algebraic computation
Antilocapra Americana
Author_Brian Dennis
Category=PBT
Composite Act Score
Curly Braces
Data Frame
Data Set
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exponential Decay Equation
FALSE FALSE
FALSE FALSE FALSE
FALSE TRUE FALSE
Fibonacci Numbers
Green Peach Aphid
Kuiper Belt
linear systems solution
Logical Vector
mathematical modeling
Matrix Product AB
Moose Densities
Northern Spotted Owl
Positive Horizontal Axis
probability simulation
Quadratic Function
R
R programming for scientific education
scientific data analysis
Sidereal Year
Small Magellanic Cloud
Statistics
Strix Occidentalis Caurina
Tiny Time Intervals
trigonometric equations
TRUE FALSE FALSE TRUE FALSE
Uniform Random Variables
Vice Versa

Product details

  • ISBN 9781138469358
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Aug 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some high school algebra and has no computer programming background.

The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups.

Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R.

R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort. By integrating mathematical computation and scientific illustration early in a student‘s development, R use can enhance one's understanding of even the most difficult scientific concepts. While R has gained a strong reputation as a package for statistical analysis, The R Student Companion approaches R more completely as a comprehensive tool for scientific computing and graphing.

Brian Dennis is a professor with a joint appointment in the Department of Fish and Wildlife Sciences and the Department of Statistical Sciences at the University of Idaho. He received a master's degree in statistics and a Ph.D. in ecology from The Pennsylvania State University. He has authored over 70 scientific articles on applications of statistics and mathematical modeling in ecology and natural resource management. He has been enthusiastically using R in his scientific work and teaching R in his courses for a decade.

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