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Informed by the latest developments, this volume adds a much-needed focus on direct methodology to the literature on control and systems theory. New material presented includes representation techniques for stochastic systems involving Lévy processes.

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Modeling Psychophysical Data in R / SpringerLink ~ Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R.

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The R Book ~ 2.16.4 Saving data produced within R to disc 134 2.16.5 Pasting into an Excel spreadsheet 135 2.16.6 Writing an Excel readable file from R 135 2.17 Programming tips 135 3 Data Input 137 3.1 Data input from the keyboard 137 3.2 Data input from files 138 3.2.1 The working directory 138 3.2.2 Data input using read.table 139

An Introduction to R ~ R (called “standard” and “recommended” packages) and many more are available through the CRAN family of Internet sites (via https://CRAN.R-project) and elsewhere. More details on packages are given later (see Chapter 13 [Packages], page 77). Most classical statistics and much of the latest methodology is available for use with R, but

Modeling Psychophysical Data in R / Kenneth Knoblauch ~ Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R.

Modeling Psychophysical Data in R / Kenneth Knoblauch ~ Modeling Psychophysical Data in R Kenneth Knoblauch , Laurence T. Maloney (auth.) Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM).

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R for Everyone ~ 1 Getting R 1 1.1 Downloading R 1 1.2 R Version2 1.3 32-bit versus 64-bit2 1.4 Installing2 1.5 Revolution R Community Edition10 . 18 Model Diagnostics247 18.1 Residuals247 18.2 Comparing Models253 . By using real data and setting up interesting problems, this book stays engaging to the end. .

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A Handbook of Statistical Analyses Using R ~ a self-contained means of using R to analyse their data. R is an open-source project developed by dozens of volunteers for more than ten years now and is available from the Internet under the General Public Licence. R has become the lingua franca of statistical computing. Increasingly, implementations of

R Programming - Tutorialspoint ~ R has an effective data handling and storage facility, R provides a suite of operators for calculations on arrays, lists, vectors and matrices. R provides a large, coherent and integrated collection of tools for data analysis. R provides graphical facilities for data analysis and display either directly at the

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