Guidebook to R Graphics Using Microsoft Windows (PDF)
(Sprache: Englisch)
Introduces the graphical capabilities of R to readers new to the
software
Due to its flexibility and availability, R has become the
computing software of choice for statistical computing and
generating graphics across various fields of research....
software
Due to its flexibility and availability, R has become the
computing software of choice for statistical computing and
generating graphics across various fields of research....
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Introduces the graphical capabilities of R to readers new to the
software
Due to its flexibility and availability, R has become the
computing software of choice for statistical computing and
generating graphics across various fields of research. Guidebook to
R Graphics Using Microsoft® Windows offers a unique
presentation of R, guiding new users through its many benefits,
including the creation of high-quality graphics.
Beginning with getting the program up and running, this book
takes readers step by step through the process of creating
histograms, boxplots, strip charts, time series graphs,
steam-and-leaf displays, scatterplot matrices, and map graphs. In
addition, the book presents:
* Tips for establishing, saving, and printing graphs along with
essential base-package plotting functions
* Interactive R programs for carrying out common tasks such as
inputting values, moving data on a natural spline, adjusting
three-dimensional graphs, and understanding simple and local linear
regression
* Various external packages for R that help to create more complex
graphics like rimage, gplots, ggplot2, tripack, rworldmap, and
plotrix packages
Throughout the book, concise explanations of key concepts of R
graphics assist readers in carrying out the presented procedures,
and any coverage of functions is clearly written out and displayed
in the text as demos. The discussed techniques are accompanied by a
wealth of screenshots and graphics with related R code available on
the book's FTP site, and numerous exercises allow readers to test
their understanding of the presented material.
Guidebook to R Graphics Using Microsoft® Windows is a
valuable resource for researchers in the fields of statistics,
public health, business, and the life and social sciences who use
or would like to learn how to use R to create visual
representations of data. The book can also be used as a supplement
for courses on statistical analysis at the upper-undergraduate
level.
software
Due to its flexibility and availability, R has become the
computing software of choice for statistical computing and
generating graphics across various fields of research. Guidebook to
R Graphics Using Microsoft® Windows offers a unique
presentation of R, guiding new users through its many benefits,
including the creation of high-quality graphics.
Beginning with getting the program up and running, this book
takes readers step by step through the process of creating
histograms, boxplots, strip charts, time series graphs,
steam-and-leaf displays, scatterplot matrices, and map graphs. In
addition, the book presents:
* Tips for establishing, saving, and printing graphs along with
essential base-package plotting functions
* Interactive R programs for carrying out common tasks such as
inputting values, moving data on a natural spline, adjusting
three-dimensional graphs, and understanding simple and local linear
regression
* Various external packages for R that help to create more complex
graphics like rimage, gplots, ggplot2, tripack, rworldmap, and
plotrix packages
Throughout the book, concise explanations of key concepts of R
graphics assist readers in carrying out the presented procedures,
and any coverage of functions is clearly written out and displayed
in the text as demos. The discussed techniques are accompanied by a
wealth of screenshots and graphics with related R code available on
the book's FTP site, and numerous exercises allow readers to test
their understanding of the presented material.
Guidebook to R Graphics Using Microsoft® Windows is a
valuable resource for researchers in the fields of statistics,
public health, business, and the life and social sciences who use
or would like to learn how to use R to create visual
representations of data. The book can also be used as a supplement
for courses on statistical analysis at the upper-undergraduate
level.
Autoren-Porträt von Kunio Takezawa
KUNIO TAKEZAWA, PhD, is Research Scientist in the Department of Information Science and Technology at the National Agricultural Research Center (Japan) and Associate Professor in the Cooperative Graduate School System at the University of Tsukuba (Japan). He has published numerous journal articles in his areas of research interest, which include nonparametric regression, smoothing methods, and fuzzy estimation. Dr. Takezawa is the author of Introduction to Nonparametric Regression, also published by Wiley.
Bibliographische Angaben
- Autor: Kunio Takezawa
- 2012, 1. Auflage, 278 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118270134
- ISBN-13: 9781118270134
- Erscheinungsdatum: 19.03.2012
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- Grösse: 10 MB
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Sprache:
Englisch
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