skip to content
Statistics : an introduction using R Preview this item
ClosePreview this item
Checking...

Statistics : an introduction using R

Author: Michael J Crawley
Publisher: Chichester, West Sussex, United Kingdom : Wiley, 2015.
Edition/Format:   eBook : Document : English : Second editionView all editions and formats
Summary:
"" ... I know of no better book of its kind ... "" (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Textbooks
Additional Physical Format: Print version:
Crawley, Michael J.
Statistics.
Chichester, West Sussex, United Kingdom : Wiley, 2015
(DLC) 2014024528
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michael J Crawley
ISBN: 9781118941119 111894111X 9781118941102 1118941101 1118941098 9781118941096
OCLC Number: 896980618
Description: 1 online resource
Contents: Chapter 1 Fundamentals 1 --
Everything Varies 2 --
Significance 3 --
Good and Bad Hypotheses 3 --
Null Hypotheses 3 --
p Values 4 --
Interpretation 4 --
Model Choice 4 --
Statistical Modelling 5 --
Maximum Likelihood 6 --
Experimental Design 7 --
The Principle of Parsimony (Occam's Razor) 8 --
Observation, Theory and Experiment 8 --
Controls 8 --
Replication: It's the ns that Justify the Means 8 --
How Many Replicates? 9 --
Power 9 --
Randomization 10 --
Strong Inference 14 --
Weak Inference 14 --
How Long to Go On? 14 --
Pseudoreplication 15 --
Initial Conditions 16 --
Orthogonal Designs and Non-Orthogonal Observational Data 16 --
Aliasing 16 --
Multiple Comparisons 17 --
Summary of Statistical Models in R 18 --
Organizing Your Work 19 --
Housekeeping within R 20 --
References 22 --
Further Reading 22 --
Chapter 2 Dataframes 23 --
Selecting Parts of a Dataframe: Subscripts 26 --
Sorting 27 --
Summarizing the Content of Dataframes 29 --
Summarizing by Explanatory Variables 30 --
First Things First: Get to Know Your Data 31 --
Relationships 34 --
Looking for Interactions between Continuous Variables 36 --
Graphics to Help with Multiple Regression 39 --
Interactions Involving Categorical Variables 39 --
Further Reading 41 --
Chapter 3 Central Tendency 42 --
Further Reading 49 --
Chapter 4 Variance 50 --
Degrees of Freedom 53 --
Variance 53 --
Variance: A Worked Example 55 --
Variance and Sample Size 58 --
Using Variance 59 --
A Measure of Unreliability 60 --
Confidence Intervals 61 --
Bootstrap 62 --
Non-constant Variance: Heteroscedasticity 65 --
Further Reading 65 --
Chapter 5 Single Samples 66 --
Data Summary in the One-Sample Case 66 --
The Normal Distribution 70 --
Calculations Using z of the Normal Distribution 76 --
Plots for Testing Normality of Single Samples 79 --
inference in the One-Sample Case 81 --
Bootstrap in Hypothesis Testing with Single Samples 81 --
Student's t Distribution 82 --
Higher-Order Moments of a Distribution 83 --
Skew 84 --
Kurtosis 86 --
Reference 87 --
Further Reading 87 --
Chapter 6 Two Samples 88 --
Comparing Two Variances 88 --
Comparing Two Means 90 --
Student's t Test 91 --
Wilcoxon Rank-Sum Test 95 --
Tests on Paired Samples 97 --
The Binomial Test 98 --
Binomial Tests to Compare Two Proportions 100 --
Chi-Squared Contingency Tables 100 --
Fisher's Exact Test 105 --
Correlation and Covariance 108 --
Correlation and the Variance of Differences between Variables 110 --
Scale-Dependent Correlations 112 --
Reference 113 --
Further Reading 113 --
Chapter 7 Regression 114 --
Linear Regression 116 --
Linear Regression in R 117 --
Calculations Involved in Linear Regression 122 --
Partitioning Sums of Squares in Regression: SSY = SSR + SSE 125 --
Measuring the Degree of Fit, r² 133 --
Model Checking 134 --
Transformation 135 --
Polynomial Regression 140 --
Non-Linear Regression 142 --
Generalized Additive Models 146 --
Influence 148 --
Further Reading 149 --
Chapter 8 Analysis of Variance 150 --
One-Way ANOVA 150 --
Shortcut Formulas 157 --
Effect Sizes 159 --
Plots for Interpreting One-Way ANOVA 162 --
Factorial Experiments 168 --
Pseudoreplication: Nested Designs and Split Plots 173 --
Split-Plot Experiments 174 --
Random Effects and Nested Designs 176 --
Fixed or Random Effects? 177 --
Removing the Pseudoreplication 178 --
Analysis of Longitudinal Data 178 --
Derived Variable Analysis 179 --
Dealing with Pseudoreplication 179 --
Variance Components Analysis (VCA) 183 --
References 184 --
Further Reading 184 --
Further Reading --
Chapter 9 Analysis of Covariance 185 --
Further Reading 192 --
Chapter 10 Multiple Regression 193 --
The Steps Involved in Model Simplification 195 --
Caveats 196 --
Order of Deletion 196 --
Carrying Out a Multiple Regression 197 --
A Trickier Example 203 --
Further Reading 211 --
Chapter 11 Contrasts 212 --
Contrast Coefficients 213 --
An Example of Contrasts in R 214 --
A Priori Contrasts 215 --
Treatment Contrasts 216 --
Model Simplification by Stepwise Deletion 218 --
Contrast Sums of Squares by Hand 222 --
The Three Kinds of Contrasts Compared 224 --
Reference 225 --
Further Reading 225 --
Chapter 12 Other Response Variables 226 --
Introduction to Generalized Linear Models 228 --
The Error Structure 229 --
The Linear Predictor 229 --
Fitted Values 230 --
A General Measure of Variability 230 --
The Link Function 231 --
Canonical Link Functions 232 --
Akaike's Information Criterion (AIC) as a Measure of the Fit of a Model 233 --
Further Reading 233 --
Chapter 13 Count Data 234 --
A Regression with Poisson Errors 234 --
Analysis of Deviance with Count Data 237 --
The Danger of Contingency Tables 244 --
Analysis of Covariance with Count Data 247 --
Frequency Distributions 250 --
Further Reading 255 --
Chapter 14 Proportion Data 256 --
Analyses of Data on One and Two Proportions 257 --
Averages of Proportions 257 --
Count Data on Proportions 257 --
Odds 259 --
Overdispersion and Hypothesis Testing 260 --
Applications 261 --
Logistic Regression with Binomial Errors 261 --
Proportion Data with Categorical Explanatory Variables 264 --
Analysis of Covariance with Binomial Data 269 --
Further Reading 272 --
Chapter 15 Binary Response Variable 273 --
Incidence Functions 275 --
ANCOVA with a Binary Response Variable 279 --
Further Reading 284 --
Chapter 16 Death and Failure Data 285 --
Survival Analysis with Censoring 287 --
Further Reading 290.
Responsibility: Michael J. Crawley.

Abstract:

". I know of no better book of its kind.  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/896980618> # Statistics : an introduction using R
    a schema:CreativeWork, schema:MediaObject, schema:Book ;
    library:oclcnum "896980618" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematics_probability_&_statistics_general> ; # MATHEMATICS--Probability & Statistics--General
    schema:about <http://dewey.info/class/519.502855133/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematical_statistics> ; # Mathematical statistics
    schema:about <http://experiment.worldcat.org/entity/work/data/4919822650#Topic/r_computer_program_language> ; # R (Computer program language)
    schema:about <http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematics_applied> ; # MATHEMATICS--Applied
    schema:author <http://experiment.worldcat.org/entity/work/data/4919822650#Person/crawley_michael_j> ; # Michael J. Crawley
    schema:bookEdition "Second edition." ;
    schema:bookFormat schema:EBook ;
    schema:copyrightYear "2015" ;
    schema:datePublished "2015" ;
    schema:description """ ... I know of no better book of its kind ... "" (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likel."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4919822650> ;
    schema:genre "Electronic books"@en ;
    schema:genre "Textbooks"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/4919822650#CreativeWork/statistics> ;
    schema:name "Statistics : an introduction using R"@en ;
    schema:productID "896980618" ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=846213> ;
    schema:url <http://proquest.safaribooksonline.com/9781118941102> ;
    schema:url <http://site.ebrary.com/id/10931968> ;
    schema:url <http://www.books24x7.com/marc.asp?bookid=72929> ;
    schema:url <http://proquest.tech.safaribooksonline.de/9781118941102> ;
    schema:workExample <http://worldcat.org/isbn/9781118941119> ;
    schema:workExample <http://worldcat.org/isbn/9781118941096> ;
    schema:workExample <http://worldcat.org/isbn/9781118941102> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/896980618> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4919822650#Person/crawley_michael_j> # Michael J. Crawley
    a schema:Person ;
    schema:familyName "Crawley" ;
    schema:givenName "Michael J." ;
    schema:name "Michael J. Crawley" ;
    .

<http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematical_statistics> # Mathematical statistics
    a schema:Intangible ;
    schema:name "Mathematical statistics"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematics_applied> # MATHEMATICS--Applied
    a schema:Intangible ;
    schema:name "MATHEMATICS--Applied"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4919822650#Topic/mathematics_probability_&_statistics_general> # MATHEMATICS--Probability & Statistics--General
    a schema:Intangible ;
    schema:name "MATHEMATICS--Probability & Statistics--General"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4919822650#Topic/r_computer_program_language> # R (Computer program language)
    a schema:Intangible ;
    schema:name "R (Computer program language)"@en ;
    .

<http://worldcat.org/entity/work/data/4919822650#CreativeWork/statistics>
    a schema:CreativeWork ;
    rdfs:label "Statistics." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/896980618> ; # Statistics : an introduction using R
    .

<http://worldcat.org/isbn/9781118941096>
    a schema:ProductModel ;
    schema:isbn "1118941098" ;
    schema:isbn "9781118941096" ;
    .

<http://worldcat.org/isbn/9781118941102>
    a schema:ProductModel ;
    schema:isbn "1118941101" ;
    schema:isbn "9781118941102" ;
    .

<http://worldcat.org/isbn/9781118941119>
    a schema:ProductModel ;
    schema:isbn "111894111X" ;
    schema:isbn "9781118941119" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.