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

Format:

Book

Author/Creator:

Denis, Daniel J., 1974- author.

Language:

English

Subjects (All):

Analysis of variance--Textbooks.

Analysis of variance.

Multivariate analysis--Textbooks.

Multivariate analysis.

Mathematical statistics--Data processing--Textbooks.

Mathematical statistics.

R (Computer program language).

Physical Description:

1 online resource (287 pages)

Place of Publication:

Hoboken, New Jersey : Wiley, 2020.

Summary:

"This book provides a user-friendly and practical guide on R, with emphasis on covering a broader range of statistical methods than previous books on R. This is a "how to" book and will be of use to undergraduates and graduate students along with researchers and professionals who require a quick go-to source to help them perform essential statistical analyses and data management tasks in R. The book only assumes minimal prior knowledge of statistics, providing readers with the tools they need right now to help them understand and interpret their data analyses. This book covers univariate, bivariate, and multivariate statistical methods, as well as some nonparametric tests. It provides students with a hands-on easy-to-read manual on the wealth of applied statistics and essential R computing that they will need for their theses, dissertations, and research publications. A strength of this book is its scope of coverage of univariate through to multivariate procedures, while simultaneously serving as a friendly introduction to R software"-- Provided by publisher.

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.

Notes:

Description based on print version record.

ISBN:

9781119549918

1119549914

9781119549963

1119549965

9781119549956

1119549957

OCLC:

1148175701