User Interface to get summary plot of any statistics with adjusted error bars.

The function suberbShiny() provides a simple user interface to plot standard error or confidence interval for various descriptive statistics under various designs, population size and purposes, according to the suberb framework. See (Cousineau et al. 2021) for more. Also see this video from (Walker 2021) for a demo using the shinyapps.io installation accessible at dcousin3.shinyapps.io/superbshiny Limitations: it is neither possible to use custom-made statistics with the graphical user interface, nor is it possible to request an adjustment for cluster- randomized sampling. These options are available with superb().

superbShiny(graphicDirectives = NULL)

Arguments

graphicDirectives

(optional) used to set graphic directives from the command line. This is useful for in-class demonstrations where the ylim() range should be set before reaching the last step of the interface.

Value

A plot that can be cut-and-paste.

References

Cousineau D, Goulet M, Harding B (2021). “Summary plots with adjusted error bars: The superb framework with an implementation in R.” Advances in Methods and Practices in Psychological Science, 4, 1–18. doi:10.1177/25152459211035109 .

Walker JAL (2021). Summary plots with adjusted error bars (superb) [Youtube video]. https://www.youtube.com/watch?v=rw_6ll5nVus.

Examples

# Launch the user interface: 
# \donttest{
if (interactive())
   superbShiny() 
# }

# Example with two graphic directives given 
# \donttest{
if (interactive())
   superbShiny( "ylim(65,135)+theme_bw()" )
# }