Lynda - Up and Running with R

Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

Introduction 1m 22s
Welcome 51s
Using the exercise files 31s

1. What is R? 3m 35s
R in context 3m 35s

2. Getting Started 42m 23s
Installing R on your computer 1m 31s
Using RStudio 4m 41s
Getting started with the R environment 10m 32s
Reading data from a spreadsheet 11m 17s
Reading data from SPSS 6m 14s
Using and managing packages 8m 8s

3. Charts and Statistics for One Variable 33m 11s
Creating bar charts for categorical variables 12m 46s
Creating histograms for quantitative variables 5m 25s
Creating box plots for quantitative variables 3m 33s
Calculating frequencies 4m 24s
Calculating descriptives 7m 3s

4. Modifying Data 14m 21s
Recoding variables 9m 56s
Computing new variables 4m 25s

5. Charts for Associations 18m 46s
Creating simple bar charts of group means 6m 52s
Creating scatterplots 4m 16s
Creating scatterplot matrices 5m 23s
Creating 3D scatterplots 2m 15s

6. Statistics for Associations 27m 27s
Calculating correlations 6m 29s
Computing a regression 6m 33s
Creating crosstabs for categorical variables 6m 26s
Comparing means with the t-test 2m 35s
Comparing means with an analysis of variance (ANOVA) 5m 24s

Conclusion 4m 11s
Next steps 4m 11s