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

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Format:
Author/Creator:
Contributor:
Language:
English
Subjects (All):
Genre:
  • Textbooks.
Physical Description:
1 online resource
Edition:
First edition.
Place of Publication:
Hoboken, NJ : Wiley, 2020.
System Details:
text file
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:
  • Includes bibliographical references and index.
  • Electronic reproduction. Hoboken, N.J. Available via World Wide Web.
  • Description based on print version record.
Local Notes:
Acquired for the Penn Libraries with assistance from the Samuel Bellet Book Fund.
Other Format:
Online version: Denis, Daniel J., 1974- Univariate, bivariate, and multivariate statistics using R.
ISBN:
  • 9781119549956
  • 1119549957
Publisher Number:
99984538590
Access Restriction:
Restricted for use by site license.
Online:
The Samuel Bellet Book Fund Home Page

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