When you're trying to understand the associations in your data, it's helpful a…lot of times to single out one particular outcome variable and that you want…to see how you can predict scores on that one using the other variables in your data set.…This is the situation where you would want to use a multiple regression with…multiple predictors for a single quantitative outcome variable.…Fortunately, R makes this extremely simple.…In this example, I'm going to use the google_correlate data that I've had before.…I'm going to load it right here with line 6, and just check the names of the variables.…
I just want to mention a couple of things.…I'm going to be predicting interest in data visualization.…This is how common that term is as a Google search term relative to other…searches on a state by state basis. That's my outcome.…I'm going to be using several quantitative variables.…I'm going to be using degree; that is, the percentage of people in the state with…the degree, and Facebook as a search term, and NBA as a search term, but I'm…
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.
- What is R?
- Installing R
- Creating bar character for categorical variables
- Building histograms
- Calculating frequencies and descriptives
- Computing new variables
- Creating scatterplots
- Comparing means
Skill Level Beginner
Managing and Analyzing Data in Excel 2010with Dennis Taylor1h 32m Intermediate
1. What is R?
R in context3m 35s
2. Getting Started
3. Charts and Statistics for One Variable
4. Modifying Data
5. Charts for Associations
6. Statistics for Associations
Next steps4m 11s
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