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Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R /
R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-w...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Fischetti, Tony, |e author. | |
| 245 | 1 | 0 | |a Data analysis with R : |b a comprehensive guide to manipulating, analyzing, and visualizing data in R / |c Tony Fischetti. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2018. | |
| 300 | |a 1 online resource ((570 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed April 19, 2018). | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: RefresheR; Navigating the basics; Arithmetic and assignment; Logicals and characters; Flow of control; Getting help in R; Vectors; Subsetting; Vectorized functions; Advanced subsetting; Recycling; Functions; Matrices; Loading data into R; Working with packages; Exercises; Summary; Chapter 2: The Shape of Data; Univariate data; Frequency distributions; Central tendency; Spread; Populations, samples, and estimation; Probability distributions; Visualization methods; Exercises; Summary. | |
| 505 | 8 | |a Chapter 3: Describing RelationshipsMultivariate data; Relationships between a categorical and continuous variable; Relationships between two categorical variables; The relationship between two continuous variables; Covariance; Correlation coefficients; Comparing multiple correlations; Visualization methods; Categorical and continuous variables; Two categorical variables; Two continuous variables; More than two continuous variables; Exercises; Summary; Chapter 4: Probability; Basic probability; A tale of two interpretations; Sampling from distributions; Parameters; The binomial distribution. | |
| 505 | 8 | |a The normal distributionThe three-sigma rule and using z-tables; Exercises; Summary; Chapter 5: Using Data To Reason About The World; Estimating means; The sampling distribution; Interval estimation; How did we get 1.96?; Smaller samples; Exercises; Summary; Chapter 6: Testing Hypotheses; The null hypothesis significance testing framework; One and two-tailed tests; Errors in NHST; A warning about significance; A warning about p-values; Testing the mean of one sample; Assumptions of the one sample t-test; Testing two means; Assumptions of the independent samples t-test. | |
| 505 | 8 | |a Testing more than two meansAssumptions of ANOVA; Testing independence of proportions; What if my assumptions are unfounded?; Exercises; Summary; Chapter 7: Bayesian Methods; The big idea behind Bayesian analysis; Choosing a prior; Who cares about coin flips; Enter MCMC -- stage left; Using JAGS and runjags; Fitting distributions the Bayesian way; The Bayesian independent samples t-test; Exercises; Summary; Chapter 8: The Bootstrap; What's ... uhhh ... the deal with the bootstrap?; Performing the bootstrap in R (more elegantly); Confidence intervals; A one-sample test of means. | |
| 505 | 8 | |a Bootstrapping statistics other than the meanBusting bootstrap myths; What have we left out?; Exercises; Summary; Chapter 9: Predicting Continuous Variables; Linear models; Simple linear regression; Simple linear regression with a binary predictor; A word of warning; Multiple regression; Regression with a non-binary predictor; Kitchen sink regression; The bias-variance trade-off; Cross-validation; Striking a balance; Linear regression diagnostics; Second Anscombe relationship; Third Anscombe relationship; Fourth Anscombe relationship; Advanced topics; Exercises; Summary. | |
| 520 | |a R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. | ||
| 542 | |f Copyright © 2018 Packt Publishing |g 2018 | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Data mining |x Mathematics. | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Exploration de données (Informatique) |x Mathématiques. | |
| 650 | 6 | |a Statistique mathématique |x Informatique. | |
| 650 | 7 | |a Database design & theory. |2 bicssc | |
| 650 | 7 | |a Information visualization. |2 bicssc | |
| 650 | 7 | |a Information architecture. |2 bicssc | |
| 650 | 7 | |a Data capture & analysis. |2 bicssc | |
| 650 | 7 | |a Computers |x Data Modeling & Design. |2 bisacsh | |
| 650 | 7 | |a Computers |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a Data mining |x Mathematics. |2 fast |0 (OCoLC)fst02013374 | |
| 650 | 7 | |a Mathematical statistics |x Data processing. |2 fast |0 (OCoLC)fst01012133 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 776 | 0 | 8 | |i Print version: |a Fischetti, Anthony. |t Data Analysis with R, Second Edition : A comprehensive guide to manipulating, analyzing, and visualizing data in R, 2nd Edition. |d Birmingham : Packt Publishing, ©2018 |
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| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781788393720/?ar |z Texto completo |
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