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|a Schmuller, Joseph,
|e author.
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|a Statistical analysis with R /
|c by Joseph Schmuller, PhD.
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1 |
4 |
|a Statistical analysis with R for dummies
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264 |
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1 |
|a Hoboken, NJ :
|b For Dummies, a Wiley brand,
|c [2017]
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|c ©2017
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300 |
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|a 1 online resource (xiii, 438 pages) :
|b illustrations (some color)
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|a --For dummies
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500 |
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|a Includes index.
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505 |
0 |
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|a Data, statistics, and decisions -- R: what it does and how it does it -- Getting graphic -- Finding your center -- Deviating from the average -- Meeting standards and standings -- Summarizing it all -- What's normal? -- The confidence game: estimation -- One-sample hypothesis testing -- Two-sample hypothesis testing -- More complicated testing -- Regression: linear, multiple, and the general linear model -- Correlation: the rise and fall of relationships -- Curvilinear regression: when relationships get complicated -- Introducing probability -- Introducing modeling -- Ten tips for Excel emigrés -- Ten valuable online R resources.
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520 |
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|a Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses--as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data--the fast and easy way!
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|a Print version record.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Mathematical statistics
|x Data processing.
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650 |
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|a Statistics
|x Data processing.
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650 |
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|a R (Computer program language)
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650 |
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6 |
|a Statistique mathématique
|x Informatique.
|
650 |
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|a Statistique
|x Informatique.
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650 |
|
6 |
|a R (Langage de programmation)
|
650 |
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7 |
|a Mathematical statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01012133
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650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
650 |
|
7 |
|a Statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01132113
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776 |
0 |
8 |
|i Print version:
|a Schmuller, Joseph.
|t Statistical analysis with R.
|d Hoboken, NJ : John Wiley & Sons, [2017]
|z 1119337062
|w (DLC) 2017932881
|w (OCoLC)956395505
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830 |
|
0 |
|a --For dummies.
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781119337065/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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