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Plotting variations

The preparation is done; now let's explore stat_summary().

Summary statistics refers to a combination of location (mean or median) and spread (standard deviation or confidence interval).

These metrics are calculated in stat_summary() by passing a function to the fun.data argument. mean_sdl(), calculates multiples of the standard deviation and mean_cl_normal() calculates the t-corrected 95% CI.

Arguments to the data function are passed to stat_summary()'s fun.args argument as a list.

The position object, posn_d, and the plot with jittered points, p_wt_vs_fcyl_by_fam_jit, are available.

This exercise is part of the course

Intermediate Data Visualization with ggplot2

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

p_wt_vs_fcyl_by_fam_jit +
  # Add a summary stat of std deviation limits
  ___
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