Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science /
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
Wiley,
2020.
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| Online Access: | Connect to the full text of this electronic book |
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.