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Beginning R[electronic resource] :an introduction to statistical programming /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.133
書名/作者:	Beginning R : an introduction to statistical programming // by Joshua F. Wiley, Larry A. Pace.
作者:	Wiley, Joshua F.
其他作者:	Pace, Larry A.
出版者:	Berkeley, CA : : Apress :, 2015.
面頁冊數:	xxiii, 327 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	R (Computer program language)
標題:	Statistics - Data processing.
標題:	Computer Science.
標題:	Programming Languages, Compilers, Interpreters.
標題:	Mathematical Software.
ISBN:	9781484203736
ISBN:	9781484203743
摘要、提要註:	Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-0373-6

Beginning R[electronic resource] :an introduction to statistical programming /
Wiley, Joshua F.

Beginning Ran introduction to statistical programming /[electronic resource] :by Joshua F. Wiley, Larry A. Pace. - 2nd ed. - Berkeley, CA :Apress :2015. - xxiii, 327 p. :ill., digital ;24 cm.

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques.

ISBN: 9781484203736

Standard No.: 10.1007/978-1-4842-0373-6doiSubjects--Topical Terms:

465792
R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 005.133

Beginning R[electronic resource] :an introduction to statistical programming /
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