Bibliograph

Univariate, bivariate, and multivariate statistics using R, quantitative tools for data analysis and data science, Daniel J. Denis

Type

Label

Univariate, bivariate, and multivariate statistics using R, quantitative tools for data analysis and data science, Daniel J. Denis

Language

eng

Bibliography note

Includes bibliographical references and index

Index

index present

Literary Form

non fiction

Main title

Univariate, bivariate, and multivariate statistics using R

Medium

electronic resource

Nature of contents

bibliographydictionaries

Oclc number

1145085252

Responsibility statement

Daniel J. Denis

Series statement

Wiley eBooks

Sub title

quantitative tools for data analysis and data science

Table Of Contents

Introduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests

Contributor