R shiny apps

various:

• Shiny User Showcase
• Shiny Web Apps
• Shiny Apps for Education
• Awesome Shiny Apps for Statistics
• Visualizing Statistical Concepts
• Shiny widgets Experience statistics
• Animated visualizations of some statistics concepts

1. Calculating Effect Sizes (Github code)
2. MOTE: The Shiny App to Calculate Effect Sizes and Their Confidence Intervals (Github code / preprint)
3. Power Calculator
4. Interpreting Cohen's d effect size
5. Understanding Statistical Power and Significance Testing
6. P-value distribution and power curves for an independent two-tailed t-test
7. Multilevel Power Tool (Calculations are based on the article written by Mathieu, Aguinis, Culpepper, & Chen (2012) in the Journal of Applied Psychology)
8. Cross-Level Interaction Effect Calculator, is an R Shiny for this article: Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling (JOM, 2013) (page for sample data file and R code)
9. Regression simulation / Standardizing and correlations
10. Optimal Error Rate Calculator
11. PANGEA - Power ANalysis for GEneral Anova designs
12. Power and N Computations for Mediation
13. Compute Power Allowing for Study Variation for an Equal n Between-Participants Design
14. Power Analysis with Mediation Models
15. Sample Size Justification

1. Interpreting Correlations
2. Understanding the t-distribution and its normal approximation
3. Modeling choices in multiple regression
4. Probability Distributions
5. Which P-values can you expect?
6. Checking model assumptions? Look at the residuals, not the raw data - Visualizing Raw Data vs Residuals shiny app
7. Data Generator for Teaching Statistics
8. Confidence Intervals explanation / demonstration

1. BoxPlotR: a web-tool for generation of box plots
2. Codebook generator (preprint - How to automatically generate rich codebooks from study metadata)
3. Raincloud-shiny
4. PlotsOfData - Plots all Of the Data
5. BoxPlotR: a web-tool for generation of box plots
6. interActive: A tool for the visual display of interaction

1. MAVIS (Meta-Analysis via Shiny) is a web application and R package for running a meta-analysis with Shiny and R.
2. Meta-Showdown Explorer
3. lavaan.shiny (Latent Variable Analysis with Shiny) is a Shiny wrapper to the lavaan package. Currently lavaan.shiny allows users to run confirmatory factor analysis, growth curve models, and structural equation models.
4. CTTShiny is a Shiny application for running classical test theory and item analysis with Shiny.
5. IRTShiny is a Shiny application for running item response theory analysis with Shiny.
6. PACA is a Shiny application for running principle components analysis with Shiny.
7. STATCAL is a statistical data processing application developed by Prana Ugiana Gio, in January 2017, using R programming language in RStudio, with shiny package as the main package. STATCAL uses various of R packages to perform statistical and graphical data analysis.
8. MEDIATE - Shiny app to simulate the famous SPSS PROCESS macro for mediation testing
9. BF calculator for single-factor ANOVA summaries
10. Plot P-Values for the TOST procedure and Second Generation P-Value
11. Shiny Server of Daniel Lakens
12. Confirmatory Factor Analysis of Dyadic Data

1. Statcheck
2. p-curve app

1. P hacker
2. p-checker The one-for-all p-value analyzer
3. Peek

1. insights into common problems leading to lack of reproducibility, including p-hacking, failure to correct for multiple testing, and double-dipping
2. When does a significant p-value indicate a true effect?
3. Likelihood Ratio for Mixed Results
4. Equivalence, non-inferiority and superiority testing
5. Distribution of p-values when comparing two groups
6. Shiny Apps for Education
7. Normal probability calculator
8. Sampling distribution and critical values
9. Exact p-value calculator

1. Metabus Shiny
2. MetaLab - community-augmented meta-analysis (source-code)
3. Web application p-uniform (see author here)
4. Web application Hybrid method (see author here)
5. Web Application Snapshot Method (see author here)
6. Reducing the administrative burden on researchers - automatically produce a bibliography, very cool
7. Gotta Catch 'em All (cheatR R package: Catch Cheaters)

1. Shiny App for Prospect Theory
2. DyadR: Web Programs for Dyadic Data Analysis
3. Restructuring and Describing Dyadic Data (RDDD) Menu
4. The Semantic Scale Network (beta)
5. Web application Hybrid method (post explaining this tool - From Replication to Reproducible knowledge: A hybrid method to combine evidence across studies)