TY  - BOOK
AU  - Fischetti,Tony
TI  - Data analysis with R: a comprehensive guide to manipulating, analyzing, and visualizing data in R 
SN  - 9781788397339
AV  - QA276.45.R3 
U1  - 001.4226 23
PY  - 2018///
CY  - Birmingham, UK
PB  - Packt Publishing
KW  - R (Computer program language)
KW  - Data mining
KW  - Mathematics
KW  - Mathematical statistics
KW  - Data processing
KW  - R (Langage de programmation)
KW  - Exploration de données (Informatique)
KW  - Mathématiques
KW  - Statistique mathématique
KW  - Informatique
KW  - Database design & theory
KW  - bicssc
KW  - Information visualization
KW  - Information architecture
KW  - Data capture & analysis
KW  - Computers
KW  - Data Modeling & Design
KW  - bisacsh
KW  - Data Processing
KW  - REFERENCE
KW  - Questions & Answers
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references; 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; 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; 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; 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; 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
N2  - 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
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1775099
ER  -