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

"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 requ...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Denis, Daniel J., 1974- (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : Wiley, 2020.
Subjects:
Analysis of variance > Textbooks.
Multivariate analysis > Textbooks.
Mathematical statistics > Data processing > Textbooks.
R (Computer program language) > Textbooks.
MATHEMATICS > Probability & Statistics > Multivariate Analysis.
Analysis of variance
Mathematical statistics > Data processing
Multivariate analysis
R (Computer program language)
Textbooks
Textbooks.
Online Access:Texto completo
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.

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