5/16/2023 0 Comments Rmarkdown github display plots![]() These arguments take named lists of arguments that are passed on to the respective functions from the graphics package (which comprises R’s standard plotting functions), such as points(), arrows(), and legend().Ĭonsider the following code and the resulting Figure 4.3 for a customized version of the previous beeswarm plot. The visual elements of the plots can be customized by passing options to the arguments args_points, args_error_bars, args_legend, and so on. If the data encompass multiple observations per participant-factor-level-combination, these observations are aggregated.īy default, the condition means are computed but you can specify other aggregation functions via the fun_aggregate argument. However, the arguments tendency and dispersion can be used to overwrite these defaults and plot other statistics.įor example, to plot within-subjects rather than between-subjects confidence intervals you can set dispersion = within_subjects_conf_int. ![]() Mesures of central tendency and dispersion default to the mean and 95% confidence intervals.
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