Explore our comprehensive collection of R (and Python) shiny applications. You can easily search for existing applications or submit a request to include your own shiny application in our diverse portfolio. Please remember that none of these applications belong solely to Shiny App Store, these are open source projects by users. Use and share, let's grow together!

Add my shiny apps Dismiss

Search R Shiny Apps

Or find by common keywords: pharmacology blandaltman statistic screen regression explore document volcano disease genes cancer luciferase ocean detect simulate caffeine stats trials country hexsticker calculate omics analysis linguistic ibuprofen sensitivity pkpd statistics mephas exercise visualization compare meta shinyjs msm symbol microbiome random testing timevis workflow pharmacokinetic demo sequencing game files doe anova equation gene multivariate maths definition learn educate power parametric cluster code estimation names diagnostic rna measurement probability pharmacometrics simulation shinyalert research network tutorial food extreme expression patient generate oceanexplorer rnaseq spatial normality distatis model throughput manhattan tables extract covid rpackage decompose continuous activity pca covariate english visulaization correlation lights bayes exploratory ggplot variance design teach plot survival logo proteomics dictionary dataset comparison puzzle predict text behavioral bayesian quantify daily shinyace data primer experiments distribution markdown missingness words simrel

Top 24 search results
Search of 'covariate' within category

aPCoA: Easy Covariate Adjusted Principal Coordinates Analysis analysis. covariate Christine B Peterson ★ ★ ★ ★ ☆ (2)

coveffectsplotUI: Evaluate Covariate Effects Using Forest Plots tutorial. plot Samer Mouksassi ★ ☆ ☆ ☆ ☆ (1)

Most Viewed Shiny Applications Here are the top viewed Shiny Applications

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
More "about" details