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03316nam a22004815i 4500 |
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978-1-4842-0373-6 |
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DE-He213 |
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20151204182423.0 |
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cr nn 008mamaa |
| 008 |
151023s2015 xxu| s |||| 0|eng d |
| 020 |
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|a 9781484203736
|9 978-1-4842-0373-6
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| 024 |
7 |
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|a 10.1007/978-1-4842-0373-6
|2 doi
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| 040 |
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|d GrThAP
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| 050 |
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4 |
|a QA76.7-76.73
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|a QA76.76.C65
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|a COM010000
|2 bisacsh
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| 082 |
0 |
4 |
|a 005.13
|2 23
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| 100 |
1 |
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|a Wiley, Joshua F.
|e author.
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| 245 |
1 |
0 |
|a Beginning R
|h [electronic resource] :
|b An Introduction to Statistical Programming /
|c by Joshua F. Wiley, Larry A. Pace.
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| 250 |
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|a Second Edition.
|
| 264 |
|
1 |
|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2015.
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| 300 |
|
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|a XXIII, 327 p. 168 illus.
|b online resource.
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 520 |
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|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 Computer science.
|
| 650 |
|
0 |
|a Programming languages (Electronic computers).
|
| 650 |
|
0 |
|a Computer software.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Programming Languages, Compilers, Interpreters.
|
| 650 |
2 |
4 |
|a Mathematical Software.
|
| 700 |
1 |
|
|a Pace, Larry A.
|e author.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9781484203743
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4842-0373-6
|z Full Text via HEAL-Link
|
| 912 |
|
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|a ZDB-2-CWD
|
| 950 |
|
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|a Professional and Applied Computing (Springer-12059)
|
