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

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

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

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

An example. | Turning the plot into a radar plot | Interpreting the plot | Customizing the plot | Difference adjustments | Generating random data | In summary | References

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

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

A paradoxical example | The origin of the paradox | Adjusting the error bars | Illustrating the impact of the adjustments | Two options | In conclusion | References

A basic example | The rational behind the test (optional) | Analyzing the data | Post-hoc test | A common confusion | Why infinite degrees of freedom? (optional) | Why the arcsine transform? (optional) | References

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

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

References

First format: Wide data format | Second format: Long data format | Third format: Compiled data format | Converting between formats | Getting the example data frame | Multiple repeated-measure factors | References

In summary | References

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

An example | Informing superb of a non-full factorial within-subject design | Returning to the example | In summary

First option: Using R | Second option: Using SPSS | Third option: Using a graphical user interface | In summary | References

What is the Cohen's $d_p$? | Plotting $d_1$ with its confidence interval | Checking the results | References

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

Making Figure 1 | Making Figure 2 | Making Figure 3 | Making Figure 4 | References

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

ANOFA vs. hierchical log-linear modeling | What happened in 1940? | What are the pros and cons of using the iterative proportional-fitting model? | Pros: | Cons: | References

Theory behind Confidence intervals for Frequencies | Complicated? | References

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

Theory behind Confidence intervals for proportions | Complicated? | References

References

Simulations with a single factor | Simulation with one between factor | Simulation with one within factor | Simulations with two factors | Simulation with two factors, between design | Simulation with two factors, within design | Simulation with two factors, mixed design | Simulations with three factors | Simulation with three factors, all between design | Simulation with three factors, within design | Simulation with three factors, mixed design, testing within | Simulation with three factors, mixed design, testing between | The end

First format: Raw data format | Second format: Wide data format | Third format: dataCompiled | Fourth format: dataLong | Converting between formats | References

A basic example | Some data | Analyzing the data | Additivity of the decomposition (optional) | References