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An Introduction to R
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This is an introduction to R ("GNU S"), a language and environment for
statistical computing and graphics. R is similar to the
award-winning(1) S system, which was developed at Bell Laboratories by
John Chambers et al. It provides a wide variety of statistical and
graphical techniques (linear and nonlinear modelling, statistical tests,
time series analysis, classification, clustering, ...).
This manual provides information on data types, programming elements,
statistical modelling and graphics.
This manual is for R, version 3.5.2 (2018-12-20).
Copyright © 1990 W. N. Venables
Copyright © 1992 W. N. Venables & D. M. Smith
Copyright © 1997 R. Gentleman & R. Ihaka
Copyright © 1997, 1998 M. Maechler
Copyright © 1999-2018 R Core Team
Permission is granted to make and distribute verbatim copies of
this manual provided the copyright notice and this permission
notice are preserved on all copies.
Permission is granted to copy and distribute modified versions of
this manual under the conditions for verbatim copying, provided
that the entire resulting derived work is distributed under the
terms of a permission notice identical to this one.
Permission is granted to copy and distribute translations of this
manual into another language, under the above conditions for
modified versions, except that this permission notice may be stated
in a translation approved by the R Core Team.
- Preface
- Introduction and preliminaries
- Simple manipulations numbers and vectors
- Objects
- Factors
- Arrays and matrices
- Lists and data frames
- Reading data from files
- Probability distributions
- Loops and conditional execution
- Writing your own functions
- Statistical models in R
- Graphics
- Packages
- OS facilities
- A sample session
- Invoking R
- The command-line editor
- Function and variable index
- Concept index
- References
---------- Footnotes ----------
(1) ACM Software Systems award, 1998:
<https://awards.acm.org/award_winners/chambers_6640862.cfm>.
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