Figure 2 of Hofer, Langmann, Burkart and Neubauer, 2022. | Generating mock data | Making the top-row plot | Adding a color layer to the plot | Adding graphic directives for fine-tuning the plot | Making the second row of the figure | Combining and saving both plots | Figure 2 of Ma and Abrams, 2023. | References
Package: superb 1.0.1
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, 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/> .
Authors:
superb_1.0.1.tar.gz
superb_1.0.1.zip(r-4.7)superb_1.0.1.zip(r-4.6)superb_1.0.1.zip(r-4.5)
superb_1.0.1.tgz(r-4.6-any)superb_1.0.1.tgz(r-4.5-any)
superb_1.0.1.tar.gz(r-4.7-any)superb_1.0.1.tar.gz(r-4.6-any)
superb_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
superb/json (API)
| # Install 'superb' in R: |
| install.packages('superb', repos = c('https://dcousin3.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcousin3/superb/issues
Pkgdown/docs site:https://dcousin3.github.io
Datasets:
- dataFigure1 - Data for Figure 1
- dataFigure2 - Data for Figure 2
- dataFigure3 - Data for Figure 3
- dataFigure4 - Data for Figure 4
- TMB1964r - Data of Tulving, Mandler, & Baumal, 1964
error-barsplottingstatisticssummary-plotssummary-statisticsvisualization
Last updated from:229267eb18. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 259 | ||
| source / vignettes | OK | 363 | ||
| linux-release-x86_64 | OK | 303 | ||
| macos-release-arm64 | OK | 251 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| windows-devel | OK | 141 | ||
| windows-release | OK | 196 | ||
| windows-oldrel | OK | 199 | ||
| wasm-release | OK | 156 |
Exports:biasCorrectionTransformbootstrapPI.gmeanbootstrapPI.hmeanbootstrapPI.meanbootstrapPI.medianbootstrapPI.sdbootstrapPI.varbootstrapSE.gmeanbootstrapSE.hmeanbootstrapSE.meanbootstrapSE.medianbootstrapSE.sdbootstrapSE.varCI.fisherkurtosisCI.fisherskewCI.gmeanCI.hmeanCI.IQRCI.MADCI.meanCI.meanNArmCI.medianCI.pearsonskewCI.sdCI.varCIwithDF.meanCousineauLaurencelleLambdacustomextentfisherkurtosisfisherskewgeom_flat_violingeom_superberrorbargmeanGRDhas.cbind.termshas.crange.termshas.nested.termshmeanHyunhFeldtEpsilonin.formulais.formulais.one.sidedMADmakeTransparentMauchlySphericityTestmeanNArmpearsonskewpoolSDTransformRexpressionrunDebugSE.fisherkurtosisSE.fisherskewSE.gmeanSE.hmeanSE.IQRSE.MADSE.meanSE.meanNArmSE.medianSE.pearsonskewSE.sdSE.varshowHorizontalSignificanceshowSignificanceshowVerticalSignificanceShroutFleissICC1ShroutFleissICC11ShroutFleissICC1kslopesub.formulassubjectCenteringTransformsuperbsuperbDatasuperbPlotsuperbPlot.barsuperbPlot.boxplotsuperbPlot.circularlinesuperbPlot.circularlineBandsuperbPlot.circularpointsuperbPlot.circularpointjittersuperbPlot.circularpointlinejittersuperbPlot.corsetsuperbPlot.halfwidthlinesuperbPlot.linesuperbPlot.lineBandsuperbPlot.pointsuperbPlot.pointindividuallinesuperbPlot.pointjittersuperbPlot.pointjitterviolinsuperbPlot.pointlinejittersuperbPlot.raincloudsuperbShinysuperbToWidetwoStepTransformWelchDegreeOfFreedomWinerCompoundSymmetryTest
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomeforeignfsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclelsrmagrittrMASSmemoisemimeotelplyrpromisesR6rappdirsrbibutilsRColorBrewerRcppRdpackreshape2rlangrrapplyS7sassscalesshinyshinyBSsourcetoolsstringistringrvctrsviridisLitewithrxtable
Customizing superb plots
Last update: 2025-12-03
Started: 2022-04-12
Plotting frequencies using superb
How to plot frequencies along with confidence intervals using superb | Why multiply the stand-alone CI length by 2? | One illustration | Define the confidence interval function | Make a count plot with confidence intervals | The benefit of the plot | Are we sure? | In summary | References
Last update: 2025-12-03
Started: 2022-12-19
Plotting proportions with superb
An example | The arcsine transformation | Defining the data | Defining the transformation in R | Reversing the transformation to see proportions. | Returning to the example | In summary | References
Last update: 2025-12-03
Started: 2021-07-20
Adding labels to superb plots
Adding labels to your superb plot | 1- the labels are actually summary statistics computed by superb | 2- the labels are other information not contained in the summary statistics. | In summary
Last update: 2025-08-02
Started: 2022-11-18
Plotting radar plots for illustrating profiles
An example. | Turning the plot into a radar plot | Interpreting the plot | Customizing the plot | Difference adjustments | Generating random data | In summary | References
Last update: 2025-08-02
Started: 2024-10-27
Three steps to make your plot
Data format | Step 1: Decide of the purpose of the plot | Step 2: Decide how to handle the within-subject measures | Step 3: Specify the sampling procedure and the population size | References
Last update: 2025-08-02
Started: 2021-03-06
Why use correlation-adjusted confidence intervals?
An example | A few words on the underlying theory (optional) | Centering the participants to better see the trend | What is the impact on confidence intervals? | Getting a plot | Making it simple | Refining the plots | Illustrating the various decorrelatin techniques. | Illustrating individual differences | In conclusion | References
Last update: 2025-08-02
Started: 2021-03-06
Why use difference-adjusted confidence intervals?
A paradoxical example | The origin of the paradox | Adjusting the error bars | Illustrating the impact of the adjustments | Two options | In conclusion | References
Last update: 2025-08-02
Started: 2021-03-06
Generating ready-to-analyze datasets with GRD
Simplest specification | Data from a design with between-subject factors and within-subject factors. | Deciding the sample sizes | Choosing the population distribution | Getting effects on one or some of the factors | Contaminate your samples! | In summary | References
Last update: 2025-01-24
Started: 2021-03-06
Unequal variances, Welch test, Tryon adjustment, and superb
A simple example | Averaging the error bars, sort of... | A real Welch test with your eyes | Averaging in the square sense, do you expect me to do that visually? | Finally, are the groups different or not? | In summary | References
Last update: 2025-01-24
Started: 2021-04-08
(advanced) Alternate ways to decorrelate repeated measures from transformations
In summary | References
Last update: 2025-01-17
Started: 2021-04-10
(advanced) Local decorrelation for time series
The structure of correlations | Implications for precision | How is correlation assessed then? | Illustration with fMRI data | A plot without decorrelation | Plots with decorrelation | The radius parameter | Difference adjustments | In summary | References
Last update: 2025-01-17
Started: 2024-05-06
(advanced) Non-factorial within-subject designs in superb
An example | Informing superb of a non-full factorial within-subject design | Returning to the example | In summary
Last update: 2025-01-17
Started: 2021-05-27
superb and SPSS
First option: Using R | Second option: Using SPSS | Third option: Using a graphical user interface | In summary | References
Last update: 2025-01-17
Started: 2021-10-19
Plotting Cohen's d with superb
What is the Cohen's $d_p$? | Plotting $d_1$ with its confidence interval | Checking the results | References
Last update: 2025-01-17
Started: 2021-04-29
Plotting Reference Intervals with superb
What is a reference interval? | Displaying a reference interval | Uncertainty in the reference interval limits | Is that it? | Reference intervals vs. confidence intervals of the means | In summary | References
Last update: 2025-01-17
Started: 2021-05-26
The making-of the figures in the article
Making Figure 1 | Making Figure 2 | Making Figure 3 | Making Figure 4 | References
Last update: 2025-01-17
Started: 2021-04-03
Using a custom statistic with its error bar within superb
Changing the summary function to be plotted | Determining that a summary function is valid to use in superbPlot | Creating a custom-made descriptive statistic function to be used in superbPlot
Last update: 2025-01-17
Started: 2021-03-06
Using a custom plot layout within superb
The built-in plot layouts | Illustrating some of the built-in layouts | Devising a custom-made plot layout | The simplest example | Optional arguments | Getting feedback information | An example | References
Last update: 2024-12-30
Started: 2021-03-06
