Join Barton Poulson for an in-depth discussion in this video Creating histograms for quantitative variables, part of Up and Running with R.
In the last movie, I started by saying how important it was to screen the…variables as you enter them by making charts as a way of checking that you…entered them correctly, that you are meeting the assumptions of the statistical…procedures that you intend to use,…and a way of giving you an idea of what's interesting or unusual in your data set.…We looked at bar charts, which are good for categorical variables. When you…have a quantitative variable, something that's an interval or ratio levels that…has been measured, like age, or time, or income, then you want to use a different approach.…
The two most common forms of graphics you want to use in that case are…histograms, like bell curves, and box plots.…In this particular movie, we're going to look at histograms.…Now, the nice thing about histograms is that, unlike box plots, R has a built-in…function for this one that does not require you to do any sort of pre-parsing of the data.…I'm going to use an example here of the social network data that I've used before.…
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 Appropriate for all
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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