Jittering means adding a small amount of random noise to data. This is usually done when data takes on a relatively small number of values, relative to the number of data points, and can be helpful to avoid overplotting in scatter plots and other graphs.
Questions tagged [jitter]
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When adding jitter a scatterplot for conveying information is appropriate
"Jittering" is adding a bit of random noise to scatterplots, to better see the information contained in the data, usually when there is a lot of overplotting. This overplotting can result from e.g. very high sample sizes, or when one of the…
Tilen
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Jittering and resampling residuals
Could you please explain what does it mean this statement- We drew iid samples of e(j) by jittering and resampling the residuals from a model fit to the original data, scaling them to have
standard deviation 0.5.
Stat
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Is jittering variables beneficaial before building a scatter plot?
I am given a dataset with features X and Y and need to learn to classify objects into 2 classes. The corresponding targets for the objects from the dataset are denoted as y:
Top left plot shows X vs Y scatter plot, produced with the following…
Revolucion for Monica
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