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Graphics for statistics and data ana...

Keen, K. J.

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Graphics for statistics and data analysis with R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Graphics for statistics and data analysis with R // Kevin J. Keen.
Author:	Keen, K. J.
Published:	Boca Raton :Chapman & Hall/CRC, : c2010.,
Description:	xxxiv, 447 p., [8] p. of plates :ill. (some col.) ;25 cm.
Subject:	R (Computer program language) -
ISBN:	9781584880875 (hbk.) :

Graphics for statistics and data analysis with R /
Keen, K. J.

Graphics for statistics and data analysis with R /Kevin J. Keen. - Boca Raton :Chapman & Hall/CRC,c2010. - xxxiv, 447 p., [8] p. of plates :ill. (some col.) ;25 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

Includes bibliographical references and index.

The graphical display of information -- Introduction --

"Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R."--Publisher's description.

ISBN: 9781584880875 (hbk.) :UK45.99Subjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA276.45.R3 / K44 2010

Dewey Class. No.: 519.50285

Graphics for statistics and data analysis with R /
LDR:02945cam a2200217 a 4500 001 1267288
003 OCoLC
005 20120831035143.0
008 120907s2010 fluaf b 001 0 eng d
020 $a 9781584880875 (hbk.) : $c UK45.99
020 $a 1584880872 (hbk.)
035 $a AS-BW-101-04
040 $a DLC $c DLC $d BTCTA $d BAKER $d YDXCP $d C#P $d BWX $d CDX $d OKU $d UBY $d BDX
050 0 0 $a QA276.45.R3 $b K44 2010
082 0 0 $a 519.50285 $2 22
100 1 $a Keen, K. J. $3 1535351
245 1 0 $a Graphics for statistics and data analysis with R / $c Kevin J. Keen.
260 # $a Boca Raton : $b Chapman & Hall/CRC, $c c2010.
300 $a xxxiv, 447 p., [8] p. of plates : $b ill. (some col.) ; $c 25 cm.
490 1 0 $a Chapman & Hall/CRC texts in statistical science series
504 $a Includes bibliographical references and index.
505 0 # $g Introduction -- $t The graphical display of information -- $g A Single discrete variable -- $t Basic charts for the distribution of a single discrete variable -- $t Advanced charts for the distribution of a single discrete variable -- $g A Single continuous variable -- $t Exploratory plots for the distribution of a single continuus variable -- $t Diagnostic plots for the distribution of a continuous variable -- $t Nonparametric density estimation for a single continuous variable -- $t Parametric density estimation for a single continuous variable -- $g Two variables -- $t Depicting the distribution of two discrete variables -- $t Depicting the distribution of one continuous variable and one discrete variable -- $t Depicting the distribution of two continuous variables -- $g Statistical models for two or more variables -- $t Graphical displays for simple linear regression -- $t Graphical displays for polynomial regression -- $t Visualizing multivariate data.
520 # $a "Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R."--Publisher's description.
650 # 0 $a R (Computer program language) $3 784593
650 # 0 $a Mathematical statistics $x Graphic methods $x Data processing. $3 1535352
830 0 $a Texts in statistical science. $3 582234