Summary Plots with Adjusted Error Bars
bias-correction transform
Bootstrapped measures of precision
Cousineau-Laurencelle's lambda correction for cluster-randomized sampl...
geom_flat_violin for expanded density displays
geom_superberrorbar for expanded error bar displays
Generate random data
Hyunh and Feldt's epsilon measure of sphericity
logical functions for formulas
makes ggplots with transparent elements
Mauchly's test of Sphericity
Measures with missing data
pooled standard deviation transform
Precision measures
Confidence intervals with custom degree of freedom
runDebug
Annotate significance of results on plots
Shrout and Fleiss intra-class correlation functions
Effect description
subject-centering transform
Additional summary statistics
superb: Summary Plots with Adjusted Error Bars
superb
Obtain summary statistics with correct error bars.
superbPlot 'bar' layout
superbPlot 'boxplot' layout
superbPlot 'circularline' layout
superbPlot 'circularlineBand' layout
superbPlot 'circularpoint' layout
superbPlot 'circularpointjitter' layout
superbPlot 'circularpointlinejitter' layout
superbPlot 'corset' layout
superbPlot 'halfwidthline' layout
superbPlot 'line' layout
superbPlot 'lineBand' layout
superbPlot 'point' layout
superbPlot point and individual-line layout for within-subject design
superbPlot point-and-jitter dots layout
superbPlot point, jitter and violin plot layout
superbPlot point-and-jitter lines layout
superbPlot 'raincloud' layout
summary plot of any statistics with adjusted error bars.
User Interface to get summary plot of any statistics with adjusted err...
superbToWide: Reshape long data frame to wide, suitable for superbPlot
two-step transform for subject centering and bias correction
Welch's rectified degree of freedom
Winer's test of compound symmetry
Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superb(), return a plot. It can also be used to obtain a dataframe with the statistics and their precision intervals so that other plotting environments (e.g., Excel) can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001> for specific references. The documentation is available at <https://dcousin3.github.io/superb/> .
Useful links