balancing point

balancing point

Balancing point is the point at which all things below it are equal to all things above it; for example, the mean is the number that balances the deviations above and below it, yielding the same amount of error above it as below it.

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    • gf_point()

      The gf_point() function can be used to create a scatterplot, or to plot a specified point, such as a specific value along the x-axis. Example 1: gf_point( Thumb ~ Height , data = Fingers , size = 2 ) Example of output from running the code above: ...

    • gf_lm()

      The gf_lm() function overlays the best-fitting regression line on a scatter plot when chained onto gf_point(). Example: # adds a regression line gf_point(Thumb ~ Height, data = Fingers) %>%       gf_lm( color = "orange", size = 2 )

    • gf_jitter()

      The gf_jitter() function will generate a jitter plot. A jitter plot is a point plot (similar to a scatter plot, such as gf_point()) but the points are moved slightly ("jittered") so that they do not overlap as much. This can help make it easier to ...

    • gf_vline()

      The gf_vline() function will add a vertical line onto a plot. You can plot the line by referencing a value in a data frame (Example 1), or by specifying the point along the axis where the line should run through (Example 2). Example 1: # Save the ...

    • pre() and PRE()

      The pre() function (and, similarly, the PRE() function) will calculate the PRE value for a model. Example 1: Below are various methods for indexing the model in the argument of the pre() function (they will all produce the same output). For any of ...