By William N. Venables, David M. Smith, R Development Core Team

ISBN-10: 3900051127

ISBN-13: 9783900051129

**Read Online or Download An Introduction to R: Notes on R: A Programming Environment for Data Analysis and Graphics PDF**

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**Additional resources for An Introduction to R: Notes on R: A Programming Environment for Data Analysis and Graphics**

**Example text**

The function I() is an identity function used to allow terms in model formulae to be defined using arithmetic operators. Note particularly that the model formulae specify the columns of the model matrix, the specification of the parameters being implicit. This is not the case in other contexts, for example in specifying nonlinear models. 1 Contrasts We need at least some idea how the model formulae specify the columns of the model matrix. This is easy if we have continuous variables, as each provides one column of the model matrix (and the intercept will provide a column of ones if included in the model).

This file gives individual users control over their workspace and allows for different startup procedures in different working directories. Rprofile’ file in the user’s home directory and uses that (if it exists). RData’ image has a special status. It is automatically performed at the beginning of an R session and may be used to initialize the environment. For example, the definition in the example below alters the prompt to $ and sets up various other useful things that can then be taken for granted in the rest of the session.

Among the other generic functions are plot() 3 So it is hidden under UNIX. Chapter 10: Writing your own functions 49 for displaying objects graphically, summary() for summarizing analyses of various types, and anova() for comparing statistical models. The number of generic functions that can treat a class in a specific way can be quite large. frame") Conversely the number of classes a generic function can handle can also be quite large. frame", "density", "factor", and more. A complete list can be got again by using the methods() function: > methods(plot) The reader is referred to the official references for a complete discussion of this mechanism.

### An Introduction to R: Notes on R: A Programming Environment for Data Analysis and Graphics by William N. Venables, David M. Smith, R Development Core Team

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