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.
| Version: |
0.95.19 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
methods, utils, stats, MASS, lsr (≥ 0.5), plyr (≥ 1.8.4), ggplot2 (≥ 3.5.0), stringr, foreign, shiny, shinyBS, rrapply, Rdpack (≥ 0.7) |
| Suggests: |
dplyr, psych, emojifont, fMultivar, grid, gridExtra, knitr, lattice, lawstat, boot, png, reshape2, rmarkdown, RColorBrewer, sadists, scales, testthat, tibble |
| Published: |
2024-11-10 |
| DOI: |
10.32614/CRAN.package.superb |
| Author: |
Denis Cousineau [aut, cre],
Bradley Harding [ctb],
Marc-Andre Goulet [ctb],
Jesika Walker [art, pre] |
| Maintainer: |
Denis Cousineau <denis.cousineau at uottawa.ca> |
| BugReports: |
https://github.com/dcousin3/superb/issues/ |
| License: |
GPL-3 |
| URL: |
https://dcousin3.github.io/superb/ |
| NeedsCompilation: |
no |
| Citation: |
superb citation info |
| Materials: |
README NEWS |
| CRAN checks: |
superb results |
Documentation:
| Reference manual: |
superb.pdf |
| Vignettes: |
Customizing 'superb' plots (source, R code)
The making-of the figures in the article (source, R code)
Three steps to make your plot (source, R code)
Why use difference-adjusted confidence intervals? (source, R code)
Why use correlation-adjusted confidence intervals? (source, R code)
Using a custom statistic with its error bar within “superb“ (source, R code)
Using a custom plot layout within “superb“ (source, R code)
Generating ready-to-analyze datasets with GRD (source, R code)
Unequal variances, Welch test, Tryon adjustment, and “superb“ (source, R code)
(advanced) Alternate ways to decorrelate repeated measures from transformations (source, R code)
Plotting Cohen's d with “superb“ (source, R code)
Plotting Reference Intervals with “superb“ (source, R code)
(advanced) Non-factorial within-subject designs in “superb“ (source, R code)
Plotting proportions with “superb“ (source, R code)
“superb“ and SPSS (source, R code)
Adding labels to “superb“ plots (source, R code)
Plotting frequencies using “superb“ (source, R code)
(advanced) Local decorrelation for time series (source, R code)
Plotting radar plots for illustrating profiles (source, R code)
|
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