video

R in Action, 2nd Ed, video edition

by Robert I. Kabacoff

May 2015

14h

English

Manning Publications

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Course outline

Chapter 1. Introduction to R
9m 42s
Chapter 1. Obtaining and installing R
6m 42s
Chapter 1. The workspace
6m 24s
Chapter 1. Packages
7m 47s
Chapter 1. Using output as input: reusing results
5m 39s
Chapter 2. Creating a dataset
4m 59s
Chapter 2. Data structures
7m 14s
Chapter 2. Data frames
6m 2s
Chapter 2. Factors
9m 4s
Chapter 2. Data input
8m 5s
Chapter 2. Importing data from Excel
8m 35s
Chapter 2. Importing data from Stata
7m 21s
Chapter 2. Annotating datasets
4m 43s
Chapter 3. Getting started with graphs
6m 34s
Chapter 3. A simple example
7m 13s
Chapter 3. Text characteristics
4m 13s
Chapter 3. Adding text, customized axes, and legends
9m 2s
Chapter 3. Combining graphs
6m 22s
Chapter 4. Basic data management
6m 14s
Chapter 4. Recoding variables
9m 32s
Chapter 4. Date values
8m 31s
Chapter 4. Subsetting datasets
9m 14s
Chapter 5. Advanced data management
6m 56s
Chapter 5. Probability functions
7m 52s
Chapter 5. A solution for the data-management challenge
7m 3s
Chapter 5. User-written functions
4m 31s
Chapter 5. Transpose
6m 31s
Chapter 6. Basic graphs
9m 2s
Chapter 6. Pie charts
9m 55s
Chapter 6. Box plots
10m 22s
Chapter 7. Basic statistics
8m 20s
Chapter 7. Descriptive statistics by group
4m 17s
Chapter 7. Frequency and contingency tables
7m 33s
Chapter 7. Tests of independence
4m 41s
Chapter 7. Correlations
8m 51s
Chapter 7. T-tests
5m 10s
Chapter 7. Nonparametric tests of group differences
8m 24s
Chapter 8. Regression
8m 37s
Chapter 8. OLS regression
6m 17s
Chapter 8. Polynomial regression
9m 38s
Chapter 8. Regression diagnostics
7m 13s
Chapter 8. An enhanced approach
10m 56s
Chapter 8. Unusual observations
6m 46s
Chapter 8. Corrective measures
7m 18s
Chapter 8. Selecting the “best” regression model
8m 58s
Chapter 8. Taking the analysis further
9m 59s
Chapter 9. Analysis of variance
6m 57s
Chapter 9. Fitting ANOVA models
4m 46s
Chapter 9. One-way ANOVA
5m 58s
Chapter 9. One-way ANCOVA
4m 46s
Chapter 9. Two-way factorial ANOVA
6m 44s
Chapter 9. Multivariate analysis of variance (MANOVA)
8m 29s
Chapter 10. Power analysis
8m 36s
Chapter 10. Implementing power analysis with the pwr package
7m 21s
Chapter 10. Linear models
8m 37s
Chapter 10. Creating power analysis plots
4m 54s
Chapter 11. Intermediate graphs
6m 54s
Chapter 11. Scatter-plot matrices
9m 16s
Chapter 11. Line charts
8m 6s
Chapter 11. Mosaic plots
4m 38s
Chapter 12. Resampling statistics and bootstrapping
7m 18s
Chapter 12. Permutation tests with the coin package
8m 1s
Chapter 12. Permutation tests with the lmPerm package
5m 19s
Chapter 12. Additional comments on permutation tests
4m 25s
Chapter 12. Bootstrapping with the boot package
8m 29s
Chapter 13. Generalized linear models
9m 32s
Chapter 13. Logistic regression
9m 45s
Chapter 13. Poisson regression
7m 4s
Chapter 13. Extensions
4m 54s
Chapter 14. Principal components and factor analysis
6m 48s
Chapter 14. Principal components
9m 14s
Chapter 14. Rotating principal components
5m 19s
Chapter 14. Exploratory factor analysis
5m 26s
Chapter 14. Rotating factors
5m 38s
Chapter 14. Other latent variable models
4m 10s
Chapter 15. Time series
7m 33s
Chapter 15. Smoothing and seasonal decomposition
10m 2s
Chapter 15. Exponential forecasting models
6m 13s
Chapter 15. Holt and Holt-Winters exponential smoothing
5m 6s
Chapter 15. ARIMA forecasting models
5m 54s
Chapter 15. ARMA and ARIMA models
8m 50s
Chapter 16. Cluster analysis
10m 10s
Chapter 16. Calculating distances
9m 15s
Chapter 16. Partitioning cluster analysis
8m 44s
Chapter 16. Avoiding nonexistent clusters
3m 30s
Chapter 17. Classification
9m 7s
Chapter 17. Decision trees
8m 32s
Chapter 17. Random forests
4m 28s
Chapter 17. Support vector machines
7m 26s
Chapter 17. Choosing a best predictive solution
5m 8s
Chapter 17. Using the rattle package for data mining
8m 29s
Chapter 18. Advanced methods for missing data
10m 22s
Chapter 18. Exploring missing-values patterns
8m 16s
Chapter 18. Understanding the sources and impact of missing data
6m 14s
Chapter 18. Complete-case analysis (listwise deletion)
10m 9s
Chapter 18. Other approaches to missing data
4m 42s
Chapter 19. Advanced graphics with ggplot2
6m 19s
Chapter 19. An introduction to the ggplot2 package
8m 20s
Chapter 19. Grouping
9m 8s
Chapter 19. Modifying the appearance of ggplot2 graphs
8m 45s
Chapter 19. Saving graphs
2m 28s
Chapter 20. Advanced programming
11m 26s
Chapter 20. Control structures
6m 46s
Chapter 20. Working with environments
7m 49s
Chapter 20. Writing efficient code
7m 45s
Chapter 20. Debugging
10m 18s
Chapter 21. Creating a package
9m 32s
Chapter 21. Developing the package
5m 19s
Chapter 21. Printing the results
6m 6s
Chapter 21. Creating the package documentation
4m 9s
Chapter 21. Building the package
8m 45s
Chapter 22. Creating dynamic reports
7m 0s
Chapter 22. Creating dynamic reports with R and Markdown
7m 9s
Chapter 22. Creating dynamic reports with R and LaTeX
6m 16s
Chapter 22. Creating dynamic reports with R and Microsoft Word
7m 35s

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Publisher Resources

ISBN: 9781617291388VEPublisher Support

R in Action, 2nd Ed, video edition

by Robert I. Kabacoff

PART 1. Getting started

PART 2. Basic methods

PART 3. Intermediate methods

PART 4. Advanced methods

PART 5. Expanding your skills

Content preview from R in Action, 2nd Ed, video edition

Chapter 8. Taking the analysis further

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

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PART 1. Getting started

PART 2. Basic methods

PART 3. Intermediate methods

PART 4. Advanced methods

PART 5. Expanding your skills

Content preview from R in Action, 2nd Ed, video edition

Chapter 8. Taking the analysis further

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,and much more.

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HTML5 & CSS3 Fundamentals LiveLessons (Sneak Peek Video Training)

Training a Support Vector Machine in R with mlr, Part 1

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Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.