R Statistics Essential Training
- 9. Statistics for Three or More Variables3.Conducting a cluster analysis.mp446.59 MB
- 1. Getting Started8.Converting tabular data to row data.mp439.55 MB
- 1. Getting Started4.Installing and managing packages.mp438.41 MB
- 9. Statistics for Three or More Variables4.Conducting a principal componentsfactor analysis.mp434.12 MB
- 1. Getting Started9.Working with color in R.mp431.66 MB
- 9. Statistics for Three or More Variables1.Computing a multiple regression.mp430.65 MB
- 1. Getting Started3.Taking a first look at the interface.mp429.22 MB
- 4. Modifying Data2.Transforming variables.mp428.82 MB
- 7. Statistics for Associations8.Computing robust statistics for bivariate associations.mp427.5 MB
- 7. Statistics for Associations5.Comparing means with a one-factor analysis of variance (ANOVA).mp426.12 MB
- 2. Charts for One Variable1.Creating bar charts for categorical variables.mp425.39 MB
- 1. Getting Started7.Importing data.mp424.25 MB
- 3. Statistics for One Variable6.Examining robust statistics for univariate analyses.mp423.13 MB
- 2. Charts for One Variable4.Creating box plots for quantitative variables.mp422.87 MB
- 2. Charts for One Variable2.Creating pie charts for categorical variables.mp421.56 MB
- 2. Charts for One Variable5.Overlaying plots.mp421.48 MB
- 1. Getting Started10.Exploring color with Colorbrewer.mp421.1 MB
- 8. Charts for Three or More Variables3.Creating scatter plot matrices.mp419.42 MB
- 7. Statistics for Associations2.Computing a bivariate regression.mp419.24 MB
- 7. Statistics for Associations3.Comparing means with the t-test.mp418.87 MB
- 7. Statistics for Associations4.Comparing paired means Paired t-test.mp418.8 MB
- 1. Getting Started5.Using built-in datasets in R.mp417.77 MB
- 2. Charts for One Variable3.Creating histograms for quantitative variables.mp417.72 MB
- 5. Working with the Data File1.Selecting cases.mp417.69 MB
- 4. Modifying Data3.Computing composite variables.mp417.55 MB
- 2. Charts for One Variable6.Saving images.mp417.26 MB
- 3. Statistics for One Variable2.Calculating descriptives.mp417.18 MB
- 4. Modifying Data1.Examining outliers.mp416.94 MB
- 5. Working with the Data File3.Merging files.mp416.65 MB
- 8. Charts for Three or More Variables4.Creating 3D scatter plots.mp416.5 MB
- 7. Statistics for Associations7.Creating cross tabs for categorical variables.mp416.43 MB
- 6. Charts for Associations2.Creating grouped box plots.mp416.07 MB
- 9. Statistics for Three or More Variables2.Comparing means with a two-factor ANOVA.mp415.83 MB
- 3. Statistics for One Variable5.Using a single categorical variable One sample chi-square test.mp415.59 MB
- 4. Modifying Data4.Coding missing data.mp415.18 MB
- 8. Charts for Three or More Variables6.Solution Creating your own scatter plot matrix.mp415.02 MB
- 9. Statistics for Three or More Variables6.Solution Creating a cluster analysis of states in the US.mp414.25 MB
- 6. Charts for Associations3.Creating scatter plots.mp413.76 MB
- 1. Getting Started6.Entering data manually.mp413.06 MB
- 7. Statistics for Associations1.Calculating correlation.mp412.5 MB
- 6. Charts for Associations5.Solution Creating your own grouped box plots.mp412.42 MB
- 6. Charts for Associations1.Creating bar charts of group means.mp412.17 MB
- Conclusion1.Next steps.mp412.14 MB
- 1. Getting Started2.Using RStudio.mp412.01 MB
- 7. Statistics for Associations10.Solution Comparing proportions across several different groups.mp411.91 MB
- 3. Statistics for One Variable4.Using a single mean Hypothesis test and confidence interval.mp411.75 MB
- 1. Getting Started1.Installing R on your computer.mp410.99 MB
- 8. Charts for Three or More Variables1.Creating clustered bar charts for means.mp410.39 MB
- 1. Getting Started12.Solution Creating color palettes in R.mp410.37 MB
- 5. Working with the Data File2.Analyzing by subgroup.mp410.26 MB