Nothing
superb: Summary Plots with Adjusted Error Bars
Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), return a plot. superbData() returns a dataframe with the statistic and its precision interval so that other plotting package 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.
Getting started
Package overview
README.md
Adding labels to ``superb`` plots"
(advanced) Alternate ways to decorrelate repeated measures from transformations"
(advanced) Non-factorial within-subject designs in ``superb``"
Customizing `superb` plots"
Generating ready-to-analyze datasets with GRD"
Plotting Cohen's d with ``superb``"
Plotting frequencies using ``superb``"
Plotting proportions with ``superb``"
Plotting Reference Intervals with ``superb``"
``superb`` and SPSS"
The making-of the figures in the article"
Three steps to make your plot"
Unequal variances, Welch test, Tryon adjustment, and ``superb``"
Using a custom plot layout within ``superb``"
Using a custom statistic with its error bar within ``superb``"
Why use correlation-adjusted confidence intervals?"
Why use difference-adjusted confidence intervals?"
Browse package contents
Package details |
|
|---|---|
| Author | Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art, pre] |
| Maintainer | Denis Cousineau <denis.cousineau@uottawa.ca> |
| License | GPL-3 |
| Version | 0.95.7 |
| URL | https://dcousin3.github.io/superb/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the superb package in your browser
Any scripts or data that you put into this service are public.
