Using R for introductory statistics. (2014)
- Record Type:
- Book
- Title:
- Using R for introductory statistics. (2014)
- Main Title:
- Using R for introductory statistics
- Further Information:
- Note: John Verzani.
- Authors:
- Verzani, John
- Contents:
- DATA; What Is Data?; Some R Essentials; Accessing Data by Using Indices; Reading in Other Sources of Data; UNIVARIATE DATA; Categorical Data; Numeric Data; Shape of a Distribution; BIVARIATE DATA; Pairs of Categorical Variables; Comparing Independent Samples; Relationships in Numeric Data; Simple Linear Regression; MULTIVARIATE DATA; Viewing Multivariate Data; R Basics: Data Frames and Lists; Using Model Formula with Multivariate Data; Lattice Graphics; Types of Data in R; DESCRIBING POPULATIONS; Populations; Families of Distributions; The Central Limit Theorem; SIMULATION; The Normal Approximation for the Binomial; for loops; Simulations Related to the Central Limit Theorem; Defining a Function; Investigating Distributions; Bootstrap Samples; Alternates to for loops; CONFIDENCE INTERVALS; Confidence Interval Ideas; Confidence Intervals for a Population Proportion, p; Confidence Intervals for the Population Mean, µ; Other Confidence Intervals; Confidence Intervals for Differences; Confidence Intervals for the Median; SIGNIFICANCE TESTS; Significance Test for a Population Proportion; Significance Test for the Mean (t-Tests); Significance Tests and Confidence Intervals; Significance Tests for the Median; Two-Sample Tests of Proportion; Two-Sample Tests of Center; GOODNESS OF FIT; The Chi-Squared Goodness-of-Fit Test; The Chi-Squared Test of Independence; Goodness-of-Fit Tests for Continuous Distributions; LINEAR REGRESSION; The Simple Linear Regression Model; StatisticalDATA; What Is Data?; Some R Essentials; Accessing Data by Using Indices; Reading in Other Sources of Data; UNIVARIATE DATA; Categorical Data; Numeric Data; Shape of a Distribution; BIVARIATE DATA; Pairs of Categorical Variables; Comparing Independent Samples; Relationships in Numeric Data; Simple Linear Regression; MULTIVARIATE DATA; Viewing Multivariate Data; R Basics: Data Frames and Lists; Using Model Formula with Multivariate Data; Lattice Graphics; Types of Data in R; DESCRIBING POPULATIONS; Populations; Families of Distributions; The Central Limit Theorem; SIMULATION; The Normal Approximation for the Binomial; for loops; Simulations Related to the Central Limit Theorem; Defining a Function; Investigating Distributions; Bootstrap Samples; Alternates to for loops; CONFIDENCE INTERVALS; Confidence Interval Ideas; Confidence Intervals for a Population Proportion, p; Confidence Intervals for the Population Mean, µ; Other Confidence Intervals; Confidence Intervals for Differences; Confidence Intervals for the Median; SIGNIFICANCE TESTS; Significance Test for a Population Proportion; Significance Test for the Mean (t-Tests); Significance Tests and Confidence Intervals; Significance Tests for the Median; Two-Sample Tests of Proportion; Two-Sample Tests of Center; GOODNESS OF FIT; The Chi-Squared Goodness-of-Fit Test; The Chi-Squared Test of Independence; Goodness-of-Fit Tests for Continuous Distributions; LINEAR REGRESSION; The Simple Linear Regression Model; Statistical Inference for Simple Linear Regression; Multiple Linear Regression; ANALYSIS OF VARIANCE; One-Way ANOVA; Using lm() for ANOVA; ANCOVA; Two-Way ANOVA; TWO EXTENSIONS OF THE LINEAR MODEL; Logistic Regression; Nonlinear Models; APPENDIX A: GETTING, INSTALLING, AND RUNNING R; Installing and Starting R; Extending R Using Additional Packages; APPENDIX B: GRAPHICAL USER INTERFACES AND R; The Windows GUI; The Mac OS X GUI; Rcdmr; APPENDIX C: TEACHING WITH R; APPENDIX D: MORE ON GRAPHICS WITH R; Low- and High-Level Graphic Functions; Creating New Graphics in R; APPENDIX E: PROGRAMMING IN R; Editing Functions; Using Functions; Using Files and a Better Editor; Object-Oriented Programming with R; INDEX … (more)
- Edition:
- 2nd edition
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2014
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.50285
R (Computer program language)
Statistics -- Data processing - Languages:
- English
- ISBNs:
- 9781466590748
9781466590762 - Related ISBNs:
- 9781466590731
- Notes:
- Note: Description based on CIP data; item not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.144301
- Ingest File:
- 02_049.xml