R and MATLAB

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A01=David E. Hiebeler
Author_David E. Hiebeler
Category=UFM
Cell Array
Command Prompt
Cran Mirror
Cumulative Distribution Functions
Curly Braces
data analysis
Data Frame
Data Set
debug commands
differences between R and MATLAB
Discrete Uniform Distribution
Editor Window
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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Figure Window
file inputoutput
MATLAB Command
MATLAB Command Prompt
MATLAB Graphical User Interface
MATLAB's Interface
MATLAB's Statistics Toolbox
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numeric computations
numerical computing
Parameter D1
producing high-quality graphics
programming
R and MATLAB users
Random Number Generator
Search Path
Statistics Toolbox
Traditional Graphics System
V1 V2 V3
working with matrices and vectors
writing functions

Product details

  • ISBN 9781466568389
  • Weight: 600g
  • Dimensions: 178 x 254mm
  • Publication Date: 02 Jun 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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The First Book to Explain How a User of R or MATLAB Can Benefit from the Other

In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible.

Enables R and MATLAB Users to Easily Collaborate and Share Code

The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other.

David E. Hiebeler is an associate professor in the Department of Mathematics & Statistics at the University of Maine. He earned a PhD in applied mathematics from Cornell University. His research involves mathematical and computational stochastic spatial models in population ecology and epidemiology.

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