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| 1. Comparing proportions.mp4 |
24.27MB |
| 1. Computing frequencies.mp4 |
14.40MB |
| 1. Creating tidy data.mp4 |
34.30MB |
| 1. Data science with R- A case study.mp4 |
57.37MB |
| 1. Grouping cases with hierarchical clustering.mp4 |
29.23MB |
| 1. Installing R.mp4 |
5.14MB |
| 1. Introduction to ggplot2.mp4 |
14.82MB |
| 1. Make your data make sense.mp4 |
4.30MB |
| 1. Next steps.mp4 |
5.72MB |
| 1. Predicting outcomes with linear regression.mp4 |
27.66MB |
| 1. Recoding categorical data.mp4 |
23.95MB |
| 1. R in context.mp4 |
13.48MB |
| 1. Rs built-in datasets.mp4 |
16.32MB |
| 10. Filtering cases and subgroups.mp4 |
22.04MB |
| 10. Piping commands with %%.mp4 |
7.89MB |
| 2. Comparing one mean to a population- One-sample t-test.mp4 |
16.13MB |
| 2. Computing descriptive statistics.mp4 |
25.30MB |
| 2. Data science with R- A case study.mp4 |
30.62MB |
| 2. Environments for R.mp4 |
11.19MB |
| 2. Exploring sample datasets with pacman.mp4 |
21.27MB |
| 2. Grouping cases with k-means clustering.mp4 |
22.85MB |
| 2. Predicting outcomes with lasso regression.mp4 |
24.70MB |
| 2. Recoding quantitative data.mp4 |
22.08MB |
| 2. Using colors in R.mp4 |
15.99MB |
| 2. Using the exercise files.mp4 |
1.70MB |
| 2. Using tibbles.mp4 |
13.33MB |
| 3. Classifying cases with k-nearest neighbors.mp4 |
30.62MB |
| 3. Comparing paired means- Paired samples t-test.mp4 |
23.23MB |
| 3. Computing correlations.mp4 |
16.61MB |
| 3. Importing data from a spreadsheet.mp4 |
17.97MB |
| 3. Installing RStudio.mp4 |
3.33MB |
| 3. Predicting outcomes with quantile regression.mp4 |
18.27MB |
| 3. Transforming outliers.mp4 |
21.46MB |
| 3. Using color palettes.mp4 |
26.50MB |
| 3. Using data.table.mp4 |
15.75MB |
| 4. Classifying cases with decision tree analysis.mp4 |
24.44MB |
| 4. Comparing two means- Independent samples t-test.mp4 |
21.01MB |
| 4. Converting data from wide to tall and from tall to wide.mp4 |
11.37MB |
| 4. Creating bar charts.mp4 |
24.17MB |
| 4. Creating contingency tables.mp4 |
16.83MB |
| 4. Creating scale scores by counting.mp4 |
14.42MB |
| 4. Importing XML data.mp4 |
19.27MB |
| 4. Navigating the RStudio environment.mp4 |
17.42MB |
| 4. Predicting outcomes with logistic regression.mp4 |
31.32MB |
| 5. Comparing multiple means- One-factor analysis of variance.mp4 |
29.94MB |
| 5. Conducting a principal component analysis.mp4 |
37.81MB |
| 5. Converting data from tables to rows.mp4 |
14.90MB |
| 5. Creating ensemble models with random forest classification.mp4 |
24.00MB |
| 5. Creating histograms.mp4 |
13.12MB |
| 5. Creating scale scores by averaging.mp4 |
8.54MB |
| 5. Entering data.mp4 |
16.95MB |
| 5. Importing JSON data.mp4 |
21.26MB |
| 5. Predicting outcomes with Poisson or log-linear regression.mp4 |
9.30MB |
| 6. Assessing predictions with blocked-entry models.mp4 |
30.65MB |
| 6. Comparing means with multiple categorical predictors- Factorial analysis of variance.mp4 |
21.80MB |
| 6. Conducting an item analysis.mp4 |
52.09MB |
| 6. Creating box plots.mp4 |
12.40MB |
| 6. Data types and structures.mp4 |
28.67MB |
| 6. Saving data in native R formats.mp4 |
19.79MB |
| 6. Working with dates and times.mp4 |
18.80MB |
| 7. Comments and headers.mp4 |
13.09MB |
| 7. Conducting a confirmatory factor analysis.mp4 |
18.10MB |
| 7. Creating scatterplots.mp4 |
14.06MB |
| 7. Working with list data.mp4 |
14.89MB |
| 8. Creating multiple graphs.mp4 |
10.00MB |
| 8. Packages for R.mp4 |
16.97MB |
| 8. Working with XML data.mp4 |
17.16MB |
| 9. Creating cluster charts.mp4 |
25.24MB |
| 9. The tidyverse.mp4 |
9.26MB |
| 9. Working with categorical variables.mp4 |
15.48MB |
| Ex_Files_Complete_Guide_to_R.zip |
6.24MB |