Oceanographic analysis with R. (2018)
- Record Type:
- Book
- Title:
- Oceanographic analysis with R. (2018)
- Main Title:
- Oceanographic analysis with R
- Further Information:
- Note: Dan E. Kelley.
- Authors:
- Kelley, Dan E
- Contents:
- Intro; Preface; Acknowledgments; Contents; Acronyms; Symbols; 1 Why R, and Why Now?; 2 R Tutorial for Oceanographers; 2.1 Introduction; 2.2 First Steps with R; 2.2.1 License; 2.2.2 Installation; 2.2.3 R Packages; 2.2.4 Running R; 2.2.5 Getting Help; 2.3 Syntax; 2.3.1 Expressions; 2.3.2 Variables; 2.3.2.1 Variable Assignment; 2.3.2.2 Variable Evaluation; 2.3.2.3 Variable Names; 2.3.2.4 Variable Scope; 2.3.3 Basic Storage Types; 2.3.3.1 Numerical Types; 2.3.3.2 Logical Type; 2.3.3.3 Textual (Character) Type; 2.3.3.4 Binary (Raw) Type; 2.3.3.5 Time Types 2.3.3.6 Missing Values and Other Special Values2.3.4 Vectors; 2.3.5 Arrays and Matrices; 2.3.5.1 Algebra; 2.3.5.2 Indexing and Subsetting; 2.3.5.3 Reshaping; 2.3.5.4 Storage; 2.3.5.5 Example: A Rotation Matrix; 2.3.6 Lists; 2.3.7 Factors; 2.3.8 Data Frames; 2.3.9 Contingency Tables; 2.3.10 Conditional Evaluation; 2.3.11 Functions; 2.3.11.1 Built-In Functions; 2.3.11.2 Defining Functions; 2.3.11.3 Recursive Functions; 2.3.11.4 Functions as Arguments to Other Functions; 2.3.11.5 Function Closures; 2.3.11.6 Generic Functions; 2.3.11.7 Function Pipelines; 2.3.11.8 Operators as Functions 2.3.12 Loops2.3.13 Alternative to Loops; 2.4 Graphics; 2.4.1 Scatter and Line Plots; 2.4.2 Contour Plots; 2.4.3 Image Plots; 2.4.4 Hexagon Binning; 2.4.5 Three-Dimensional Plots; 2.4.6 Time-Series Plots; 2.4.7 Box Plots; 2.4.8 Lagged Autocorrelation Plots; 2.4.9 Histogram Plots; 2.4.10 Spectrum Plots; 2.4.11 Pairs Plots; 2.4.12 Conditioning Plots;Intro; Preface; Acknowledgments; Contents; Acronyms; Symbols; 1 Why R, and Why Now?; 2 R Tutorial for Oceanographers; 2.1 Introduction; 2.2 First Steps with R; 2.2.1 License; 2.2.2 Installation; 2.2.3 R Packages; 2.2.4 Running R; 2.2.5 Getting Help; 2.3 Syntax; 2.3.1 Expressions; 2.3.2 Variables; 2.3.2.1 Variable Assignment; 2.3.2.2 Variable Evaluation; 2.3.2.3 Variable Names; 2.3.2.4 Variable Scope; 2.3.3 Basic Storage Types; 2.3.3.1 Numerical Types; 2.3.3.2 Logical Type; 2.3.3.3 Textual (Character) Type; 2.3.3.4 Binary (Raw) Type; 2.3.3.5 Time Types 2.3.3.6 Missing Values and Other Special Values2.3.4 Vectors; 2.3.5 Arrays and Matrices; 2.3.5.1 Algebra; 2.3.5.2 Indexing and Subsetting; 2.3.5.3 Reshaping; 2.3.5.4 Storage; 2.3.5.5 Example: A Rotation Matrix; 2.3.6 Lists; 2.3.7 Factors; 2.3.8 Data Frames; 2.3.9 Contingency Tables; 2.3.10 Conditional Evaluation; 2.3.11 Functions; 2.3.11.1 Built-In Functions; 2.3.11.2 Defining Functions; 2.3.11.3 Recursive Functions; 2.3.11.4 Functions as Arguments to Other Functions; 2.3.11.5 Function Closures; 2.3.11.6 Generic Functions; 2.3.11.7 Function Pipelines; 2.3.11.8 Operators as Functions 2.3.12 Loops2.3.13 Alternative to Loops; 2.4 Graphics; 2.4.1 Scatter and Line Plots; 2.4.2 Contour Plots; 2.4.3 Image Plots; 2.4.4 Hexagon Binning; 2.4.5 Three-Dimensional Plots; 2.4.6 Time-Series Plots; 2.4.7 Box Plots; 2.4.8 Lagged Autocorrelation Plots; 2.4.9 Histogram Plots; 2.4.10 Spectrum Plots; 2.4.11 Pairs Plots; 2.4.12 Conditioning Plots; 2.4.13 Function Plots; 2.4.14 Aesthetic Control of R Graphics; 2.4.15 Limitations of R Graphics; 2.5 Probability and Statistics; 2.5.1 Probability; 2.5.2 Statistics; 2.5.2.1 Statistical Tables; 2.5.2.2 Confidence Intervals of Means 2.5.2.3 Measurement Uncertainty and Error Bars2.5.2.4 Random Number Generation; 2.5.3 Summaries and Overview Functions; 2.5.4 Hypothesis Testing; 2.5.5 Regression; 2.5.5.1 Linear Regression; 2.5.5.2 Nonlinear Regression; 2.5.6 Analysis of Variance; 2.5.7 Partitioning Decision Trees; 2.6 Numerical Methods; 2.6.1 Sorting; 2.6.2 Root Finding; 2.6.3 Integration; 2.6.4 Piecewise Linear Interpolation; 2.6.5 Two-Dimensional Interpolation; 2.6.6 Locally Weighted Polynomial Fitting; 2.6.7 Interpolating and Smoothing Splines; 2.6.8 Cluster Analysis; 2.6.9 Fast Fourier Transforms; 2.7 Input and Output 2.7.1 Reading from Text Files2.7.1.1 Simple Tables; 2.7.1.2 Complicated Tables; 2.7.1.3 Line-Based Input; 2.7.1.4 Reading by Words and Characters; 2.7.1.5 File and Text Connections; 2.7.2 Reading Binary Data; 2.7.3 Reading Databases; 2.7.4 Reading NetCDF Files; 2.7.5 Writing Files; 2.8 Creating R GUI Systems; 2.9 Debugging; 3 The oce Package; 3.1 Package Options; 3.2 File Formats; 3.3 Object Orientation; 3.4 Datasets; 3.5 Functions; 3.6 A Practical Example; 3.7 Evolution of oce; 4 Historical Examples; 4.1 Seawater Chemistry redfield1934otpo; 4.2 Ecosystem Modelling riley1946fcpp … (more)
- Publisher Details:
- New York, NY : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 551.460285
Statistics
Oceanography -- Data processing
R (Computer program language)
Oceanography
Computer science
SCIENCE / Earth Sciences / Geography
SCIENCE / Earth Sciences / Geology
Science -- Earth Sciences -- Oceanography
Computers -- Programming -- General
Oceanography (seas)
Computer programming / software development
Medical -- Biostatistics
Probability & statistics
Electronic books - Languages:
- English
- ISBNs:
- 9781493988440
1493988441 - Related ISBNs:
- 9781493988426
1493988425 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed October 24, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.343288
- Ingest File:
- 04_020.xml