Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Beginning Ran introduction to statis...
~
Pace, Larry A.
Beginning Ran introduction to statistical programming /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Beginning Rby Joshua F. Wiley, Larry A. Pace.
Reminder of title:
an introduction to statistical programming /
Author:
Wiley, Joshua F.
other author:
Pace, Larry A.
Published:
Berkeley, CA :Apress :2015.
Description:
xxiii, 327 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
R (Computer program language)
Online resource:
http://dx.doi.org/10.1007/978-1-4842-0373-6
ISBN:
9781484203736$q(electronic bk.)
Beginning Ran introduction to statistical programming /
Wiley, Joshua F.
Beginning R
an introduction to statistical programming /[electronic resource] :by Joshua F. Wiley, Larry A. Pace. - 2nd ed. - Berkeley, CA :Apress :2015. - xxiii, 327 p. :ill., digital ;24 cm.
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques.
ISBN: 9781484203736$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-0373-6doiSubjects--Topical Terms:
210846
R (Computer program language)
LC Class. No.: QA276.45.R3
Dewey Class. No.: 005.133
Beginning Ran introduction to statistical programming /
LDR
:02727nmm a2200337 a 4500
001
477113
003
DE-He213
005
20160330102211.0
006
m d
007
cr nn 008maaau
008
160526s2015 cau s 0 eng d
020
$a
9781484203736$q(electronic bk.)
020
$a
9781484203743$q(paper)
024
7
$a
10.1007/978-1-4842-0373-6
$2
doi
035
$a
978-1-4842-0373-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276.45.R3
072
7
$a
UMX
$2
bicssc
072
7
$a
UMC
$2
bicssc
072
7
$a
COM051010
$2
bisacsh
072
7
$a
COM010000
$2
bisacsh
082
0 4
$a
005.133
$2
23
090
$a
QA276.45.R3
$b
W676 2015
100
1
$a
Wiley, Joshua F.
$3
732015
245
1 0
$a
Beginning R
$h
[electronic resource] :
$b
an introduction to statistical programming /
$c
by Joshua F. Wiley, Larry A. Pace.
250
$a
2nd ed.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2015.
300
$a
xxiii, 327 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
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.
650
0
$a
R (Computer program language)
$3
210846
650
0
$a
Statistics
$x
Data processing.
$3
183693
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
650
2 4
$a
Mathematical Software.
$3
279828
700
1
$a
Pace, Larry A.
$3
703815
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-0373-6
950
$a
Professional and Applied Computing (Springer-12059)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000120332
電子館藏
1圖書
電子書
EB QA276.45.R3 W676 2015
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-1-4842-0373-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login