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02340nam a22003855i 4500 |
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978-1-4842-0139-8 |
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140704s2014 xxu| s |||| 0|eng d |
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|a 9781484201398
|9 978-1-4842-0139-8
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|a 10.1007/978-1-4842-0139-8
|2 doi
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|a QA75.5-76.95
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|a UY
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|a COM014000
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|a 004
|2 23
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|a Stowell, Sarah.
|e author.
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|a Using R for Statistics
|h [electronic resource] /
|c by Sarah Stowell.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2014.
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300 |
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|a XVI, 244 p. 129 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations. You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background. After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.
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|a Computer science.
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|a Computer Science.
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|a Computer Science, general.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9781484201404
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856 |
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|u http://dx.doi.org/10.1007/978-1-4842-0139-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-CWD
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950 |
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|a Professional and Applied Computing (Springer-12059)
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