St. Xavier's University Library Search for 'su:"R COMPUTER PROGRAM LANGUAGE"'

Introductory statistics with R

]]> By Dalgaard, Peter .
New York Springer 2008 .
xvi, 363 , Basics p. 1 The R environment p. 31 Probability and distributions p. 55 Descriptive statistics and graphics p. 67 One- and two-sample tests p. 95 Regression and correlation p. 109 Analysis of variance and the Kruskal-Wallis test p. 127 Tabular data p. 145 Power and the computation of sample size p. 155 Advanced data handling p. 163 Multiple regression p. 185 Linear models p. 195 Logistic regression p. 227 Survival analysis p. 249 Rates and Poisson regression p. 259 Nonlinear curve fitting p. 275 Obtaining and installing R and the ISwR package p. 289 Data sets in the ISwR package p. 293 Compendium p. 325 Answers to exercises p. 337 Bibliography p. 355 Index p. 357 Table of Contents provided by Blackwell. All Rights Reserved. 9780387790534

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Complete data analysis using R : your applied manual /

]]> By Lehmann, Marco,.
New Delhi Saga 2023 .
xxiv, 385 pages : , Chapter 1: Quick Start – Basic Training in R Functions Chapter 2: Getting Your Data In and Out of R Chapter 3: Preparing the Data for Analysis Chapter 4: Descriptive and Exploratory Data Analysis Chapter 5: Graphical Data Analysis Chapter 6: Inferential Statistics I: A Completely Randomised Factorial Design Chapter 7: Inferential Statistics II: A Multiple Regression Analysis Chapter 8: Preparing Tables for Publication Chapter 9: Preparing Graphics for Publication Chapter 10: Data Simulation Chapter 11: Putting It All Together: The Structure of a Statistical Analysis 25 cm.
9781473913653

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Data science for business with R /

]]> By Saltz, Jeffrey S.,.
New Delhi Sage 2022 .
xxxii, 389 pages : , Introduction: Data Science, Many Skills Chapter 1: Getting Started with R & RStudio Chapter 2: Rows and Columns Chapter 3: Data Munging Chapter 4: What’s My Function? Chapter 5: Beer, Farms, and Peas and the Use of Statistics Chapter 6: Sample in a Jar Chapter 7: Storage Wars Chapter 8: Pictures vs. Numbers Chapter 9: Map Mashup Chapter 10: Lining Up Our Models Chapter 11: What’s Your Vector, Victor? Chapter 12: Hi Ho, Hi Ho—Data Mining We Go Chapter 13: Word Perfect (Text Mining) Chapter 14: Shiny Web Apps Chapter 15: Time for a Deep Dive Includes index 23 cm.
9781544370453

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