Table of Contents
R in a Nutshell Reference
Return to R in a Nutshell, 2nd Edition, R Bibliography, R DevOps, R Data Science, R Statistics, R Machine Learning, R Deep Learning, Data Science Bibliography, Statistics Bibliography
A. R Reference Appendix A. R Reference
Preface
I. R Basics
II. The R Language
III. Working With Data
IV. Data Visualization
V. Statistics With R
VI. Additional Topics
A. R Reference
base
boot
class
cluster
codetools
foreign
grDevices
graphics
grid
KernSmooth
lattice
MASS
methods
mgcv
nlme
nnet
rpart
spatial
splines
stats
stats4
survival
tcltk
tools
utils
Bibliography
Index
About The Author
Colophon
Fair Use Sources
R: R Fundamentals, R Inventor - R Language Designer: Ross Ihaka and Robert Gentleman in August 1993; R Core Team, R Language Definition on R-Project.org, R reserved words (R keywords), R data structures - R algorithms, R syntax, R input and Output, R data transformations, R probability, R statistics, R linear regression (ANOVA), R time series analysis, R graphics, R markdown, R OOP, R on Linux, R on macOS, R on Windows, R installation, R containerization, R configuration, R compiler - R interpreter (R REPL), R IDEs (RStudio, Jupyter Notebook), R development tools, R DevOps - R SRE, R data science - R DataOps, R machine learning, R deep learning, Functional R, R concurrency, R history, R bibliography, R glossary, R topics, R courses, R Standard Library, R libraries, R packages (tidyverse package), R frameworks, RDocumentation.org / CRAN, R research, R GitHub, Written in R, R popularity, R Awesome list, R Versions, Python. (navbar_r)
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