Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science

ISBN-13: 9781119549932 / Angielski / Twarda / 2020 / 384 str.

Daniel J. Denis

Spis treści

PrefaceChapter 1 Introduction to Applied StatisticsChapter 2 Introduction to R and Computational StatisticsChapter 3 Exploring Data with R: Essential Graphics and VisualizationChapter 4 Means, Correlations, Counts: Drawing Inferences Using Easy-to-Implement Statistical TestsChapter 5 Power Analysis and Sample Size Estimation Using RChapter 6 Analysis of Variance: Fixed Effects, Random Effects, Mixed Models and Repeated MeasuresChapter 7 Simple and Multiple Linear RegressionChapter 8 Logistic Regression and the Generalized Linear ModelChapter 9 Multivariate Analysis of Variance (MANOVA) and Discriminant AnalysisChapter 10 Principal Components AnalysisChapter 11 Exploratory Factor AnalysisChapter 12 Cluster AnalysisChapter 13 Nonparametric TestsIndex

O autorze

DANIEL J. DENIS, PHD, is Professor of Quantitative Psychology in the Department of Psychology at the University of Montana. D. Denis is the author of Applied Univariate, Bivariate, and Multivariate Statistics and SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics, both published by Wiley.