R shiny apps [Gilad Feldman Research WIKI]

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====== R shiny apps ======


various: 
  * [[https://www.rstudio.com/products/shiny/shiny-user-showcase/|Shiny User Showcase]]
  * [[https://designingexperiments.com/shiny-r-web-apps/|Shiny Web Apps]]
  * [[https://github.com/kbodwin/Shiny-Apps-for-Education|Shiny Apps for Education]]
  * [[https://github.com/huyingjie/Awesome-shiny-apps-for-statistics|Awesome Shiny Apps for Statistics]]
  * [[https://petemiksza.com/visualizing-statistical-concepts/|Visualizing Statistical Concepts]]
  * [[https://shinyapps.org/|Shiny widgets Experience statistics]]
  * [[https://whitlockschluter.zoology.ubc.ca/stats-visualizations|Animated visualizations of some statistics concepts]]



===== Power and effect sizes =====

  - [[https://katherinemwood.shinyapps.io/lakens_effect_sizes/|Calculating Effect Sizes]] ([[https://github.com/katherinemwood/lakens_effect_sizes|Github code]])
  - [[http://96.242.30.151:3838/MOTE/|MOTE: The Shiny App to Calculate Effect Sizes and Their Confidence Intervals]] ([[https://github.com/doomlab/shiny-server/tree/master/MOTE|Github code]] / [[https://osf.io/tds83/|preprint]])
  - [[https://egap.shinyapps.io/Power_Calculator/|Power Calculator]]
  - [[http://rpsychologist.com/d3/cohend/|Interpreting Cohen's d effect size]]
  - [[http://rpsychologist.com/d3/NHST/|Understanding Statistical Power and Significance Testing]] 
  - [[https://lakens.shinyapps.io/p-curves/|P-value distribution and power curves for an independent two-tailed t-test]]
  - [[https://aguinis.shinyapps.io/ml_power/|Multilevel Power Tool]] (Calculations are based on the article written by [[https://www.researchgate.net/profile/Herman_Aguinis/publication/224955627_Understanding_and_Estimating_the_Power_to_Detect_Cross-Level_Interaction_Effects_in_Multilevel_Modeling/links/02bfe5102fa9d04b9e000000.pdf|Mathieu, Aguinis, Culpepper, & Chen (2012) in the Journal of Applied Psychology]])
  - [[https://aguinis.shinyapps.io/jomr/|Cross-Level Interaction Effect Calculator]], is an R Shiny for this article: [[chrome-extension://oemmndcbldboiebfnladdacbdfmadadm/http://hermanaguinis.com/JOMcrosslevel.pdf|Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling (JOM, 2013)]] ([[http://hermanaguinis.com/JOMR.html|page for sample data file and R code]])
  - [[http://regsim.statisticalgate.com/|Regression simulation]] / [[https://richarddmorey.shinyapps.io/standardizing_and_correlations/|Standardizing and correlations]]
  - [[http://shiny.landscapetoolbox.org/OptimalErrorRate/|Optimal Error Rate Calculator]] 
  - [[https://jakewestfall.shinyapps.io/pangea/|PANGEA - Power ANalysis for GEneral Anova designs]]
  - [[https://davidakenny.shinyapps.io/MedPower/|Power and N Computations for Mediation]]
  - [[https://davidakenny.shinyapps.io/SVPower/|Compute Power Allowing for Study Variation for an Equal n Between-Participants Design]]
  - [[http://marlab.org/power_mediation/|Power Analysis with Mediation Models]]
  - [[https://shiny.ieis.tue.nl/sample_size_justification/|Sample Size Justification]]


===== Basic stats =====

  - [[http://rpsychologist.com/d3/correlation/|Interpreting Correlations]]
  - [[http://rpsychologist.com/d3/tdist/|Understanding the t-distribution and its normal approximation]]
  - [[https://gallery.shinyapps.io/multi_regression/|Modeling choices in multiple regression]]
  - [[https://mccannecology.shinyapps.io/Probability_Distributions/probability_distributions_shiny.Rmd#F-|Probability Distributions]]
  - [[http://shiny.ieis.tue.nl/MOOC/assignment_1/|Which P-values can you expect?]]
  - [[https://datahowler.wordpress.com/2018/08/04/checking-model-assumptions-look-at-the-residuals-not-the-raw-data/|Checking model assumptions? Look at the residuals, not the raw data]] - [[https://dalejbarr.shinyapps.io/raw_vs_resids/|Visualizing Raw Data vs Residuals]] shiny app
  - [[http://andyluttrell.com/datagen.html|Data Generator for Teaching Statistics]]
  - [[https://sophieehill.shinyapps.io/ci-sims/|Confidence Intervals explanation / demonstration]]
  - [[https://rpsychologist.com/likelihood/|Understanding Maximum Likelihood, An Interactive Visualization]]

===== Plotting / Reporting =====

  - [[http://shiny.chemgrid.org/boxplotr/|BoxPlotR: a web-tool for generation of box plots]]
  - [[https://rubenarslan.ocpu.io/codebook/www/|Codebook generator]] ([[https://psyarxiv.com/5qc6h|preprint - How to automatically generate rich codebooks from study metadata]])
  - [[https://gabrifc.shinyapps.io/raincloudplots/|Raincloud-shiny]]
  - [[https://huygens.science.uva.nl/PlotsOfData/|PlotsOfData - Plots all Of the Data]]
  - [[http://shiny.chemgrid.org/boxplotr/|BoxPlotR: a web-tool for generation of box plots]]
  - [[https://connorjmccabe.shinyapps.io/interactive/|interActive: A tool for the visual display of interaction]]

===== Advanced statistics/methods =====

  - [[http://kylehamilton.net/shiny/MAVIS/|MAVIS]] (Meta-Analysis via Shiny) is a web application and R package for running a meta-analysis with Shiny and R.
  - [[http://shinyapps.org/apps/metaExplorer/|Meta-Showdown Explorer]]
  - [[http://kylehamilton.net/shiny/lavaan.shiny/|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. 
  - [[http://kylehamilton.net/shiny/CTTShiny/|CTTShiny]] is a Shiny application for running classical test theory and item analysis with Shiny.
  - [[http://kylehamilton.net/shiny/IRTShiny/|IRTShiny]] is a Shiny application for running item response theory analysis with Shiny.
  - [[http://kylehamilton.net/shiny/PACA/|PACA]] is a Shiny application for running principle components analysis with Shiny.
  - [[https://gioprana.shinyapps.io/STATCAL/|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.
  - [[https://mediation.fit/MediateApp/|MEDIATE]] - Shiny app to simulate the famous SPSS PROCESS macro for mediation testing
  - [[https://tomfaulkenberry.shinyapps.io/anovaBFcalc/|BF calculator for single-factor ANOVA summaries]]
  - [[http://shiny.ieis.tue.nl/TOST_vs_SGPV/|Plot P-Values for the TOST procedure and Second Generation P-Value]]
  - [[http://shiny.ieis.tue.nl/|Shiny Server of Daniel Lakens]]
  - [[https://davidakenny.shinyapps.io/Dyadic_CFA/|Confirmatory Factor Analysis of Dyadic Data]]



===== Check work/data =====

  - [[http://statcheck.io/|Statcheck]]
  - [[http://www.p-curve.com/app4/|p-curve app]]


===== Problems with science demos =====
 
  - [[http://shinyapps.org/apps/p-hacker/|P hacker]]
  - [[http://shinyapps.org/apps/p-checker/|p-checker The one-for-all p-value analyzer]]
  - [[http://shiny.psy.gla.ac.uk/debruine/peek/|Peek]]

 
===== Simulations for statistical insights =====

  - [[https://github.com/oscci/deevybee_repo|insights into common problems leading to lack of reproducibility, including p-hacking, failure to correct for multiple testing, and double-dipping]]
  - [[http://shinyapps.org/apps/PPV/|When does a significant p-value indicate a true effect?]]
  - [[https://lakens.shinyapps.io/likelihood/|Likelihood Ratio for Mixed Results]]
  - [[http://rpsychologist.com/d3/equivalence/|Equivalence, non-inferiority and superiority testing]]
  - [[http://rpsychologist.com/d3/pdist/|Distribution of p-values when comparing two groups]]
  - [[https://github.com/kbodwin/Shiny-Apps-for-Education|Shiny Apps for Education]]
  - [[https://mmcbee.shinyapps.io/Normal_probability_calculator/|Normal probability calculator]]
  - [[https://mmcbee.shinyapps.io/critical_values/|Sampling distribution and critical values]]
  - [[https://mmcbee.shinyapps.io/shiny_p_values/|Exact p-value calculator]]

===== Neat projects  =====

  - [[http://54.164.101.238/shiny|Metabus Shiny]]
  - [[http://metalab.stanford.edu/|MetaLab - community-augmented meta-analysis]] ([[https://github.com/langcog/metalab/|source-code]])
  - [[https://rvanaert.shinyapps.io/p-uniform/|Web application p-uniform]] ([[http://www.robbievanaert.com/software/software/|see author here]])
  - [[https://rvanaert.shinyapps.io/hybrid/|Web application Hybrid method]] ([[http://www.robbievanaert.com/software/software/|see author here]])
  - [[https://rvanaert.shinyapps.io/snapshot/|Web Application Snapshot Method]] ([[http://www.robbievanaert.com/software/software/|see author here]])
  - [[https://aushsi.shinyapps.io/orcid/|Reducing the administrative burden on researchers]] - automatically produce a bibliography, very cool
  - [[https://almogsi.shinyapps.io/cheatR/|Gotta Catch 'em All]] ([[https://cran.r-project.org/web/packages/cheatR/index.html|cheatR R package: Catch Cheaters]])


===== Other =====

  - [[https://decisionsciences.shinyapps.io/Shiny/shiny_try.Rmd|Shiny App for Prospect Theory]]
  - [[http://davidakenny.net/DyadR/DyadRweb.htm|DyadR: Web Programs for Dyadic Data Analysis]]
  - [[http://davidakenny.net/RDDD.htm|Restructuring and Describing Dyadic Data (RDDD) Menu]]
  - [[https://rosenbusch.shinyapps.io/semantic_net/|The Semantic Scale Network (beta)]]
  - [[https://rvanaert.shinyapps.io/hybrid/|Web application Hybrid method]] (post explaining this tool - [[https://featuredcontent.psychonomic.org/from-replication-to-reproducible-knowledge-a-hybrid-method-to-combine-evidence-across-studies/|From Replication to Reproducible knowledge: A hybrid method to combine evidence across studies]])