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|a UAMI
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100 |
1 |
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|a Gardener, Mark.
|
245 |
1 |
0 |
|a Beginning R :
|b the statistical programming language /
|c Mark Gardener.
|
260 |
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|a Indianapolis :
|b John Wiley & Sons,
|c 2012.
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300 |
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|a 1 online resource (xxvii, 475 pages) :
|b illustrations (some color), portrait
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336 |
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|a text
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|2 rdacontent
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|a Wrox programmer to programmer
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500 |
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|a Includes index.
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0 |
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|a Beginning R; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; p2p.wrox.com; Chapter 1: Introducing R: What It Is and How to Get It; Getting the Hang of R; Running the R Program; Finding Your Way with R; Command Packages; Summary; Chapter 2: Starting Out: Becoming Familiar with R; Some Simple Math; Reading and Getting Data into R; Viewing Named Objects; Types of Data Items; The Structure of Data Items; Examining Data Structure; Working with History Commands; Saving Your Work in R.
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505 |
8 |
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|a Chapter 7: Introduction to Graphical AnalysisBox-whisker Plots; Scatter Plots; Pairs Plots (Multiple Correlation Plots); Line Charts; Pie Charts; Cleveland Dot Charts; Bar Charts; Copy Graphics to Other Applications; Summary; Chapter 8: Formula Notation and Complex Statistics; Examples of Using Formula Syntax for Basic Tests; Formula Notation in Graphics; Analysis of Variance (ANOVA); Summary; Chapter 9: Manipulating Data and Extracting Components; Creating Data for Complex Analysis; Summarizing Data; Summary; Chapter 10: Regression (Linear Modeling); Simple Linear Regression.
|
520 |
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|a Chapter 3: Starting Out: Working; Manipulating Objects; Viewing Objects within Objects; Constructing Data Objects; Forms of Data Objects: Testing and Converting; Summary; Chapter 4: Data: Descriptive Statistics and Tabulation; Summary Commands; Summarizing Samples; Summary Tables; Summary; Chapter 5: Data: Distribution; Looking at the Distribution of Data; Summary; Chapter 6: Simple Hypothesis Testing; Using the Student's t-test; The Wilcoxon U-Test (Mann-Whitney); Paired t- and U-Tests; Correlation and Covariance; Tests for Association; Summary.
|
520 |
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|a Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex s.
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546 |
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|a English.
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a R (Computer program language)
|
650 |
|
0 |
|a Statistics
|x Data processing.
|
650 |
|
6 |
|a R (Langage de programmation)
|
650 |
|
6 |
|a Statistique
|x Informatique.
|
650 |
|
7 |
|a R (Computer program language)
|2 fast
|
650 |
|
7 |
|a Statistics
|x Data processing
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Gardener, Mark.
|t Beginning R : the statistical programming language.
|d Hoboken : John Wiley & Sons, ©2012
|z 9781118164303
|w (DLC) 2012937909
|
830 |
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|a Programmer to programmer.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781118239377/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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