From the course: 11 Useful Tips for Regression Analysis
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Animating estimates
From the course: 11 Useful Tips for Regression Analysis
Animating estimates
- Visualizing regression results is an important skill in modern data science. If you have many estimates, especially if now repeated in nature consider creating a short movie or animation from them. This type of visual presentation won't suit everyone and would likely require multiple software programs and a good understanding of how to use loops in code but it can be a very powerful way to deliver your results. So how do you produce such animations? Most general purpose statistical software programs don't have an inbuilt movie or animation module. And the trick is the following, you need to generate one graph for each result. This graph acts as a frame in a video, successive frames are then spliced together with external software. To splice frames together into a short movie, I use a program called FFmpeg but there are other alternatives. For example, you could use Camtasia or Final Cut Pro. Well, let's take a look at…
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Contents
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Weighted regression5m 36s
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Factor variables5m 40s
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Polynomial variables4m 36s
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Fractional polynomials5m 33s
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Modelling proportions5m 39s
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Centering (de-meaning) variables5m 1s
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Include missing observations5m 55s
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Standardized estimates3m 22s
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Graphing regression estimates4m 9s
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Interaction terms5m 4s
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Animating estimates4m 17s
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