ShinyStatR

A comprehensive, web-based statistical analysis application built with R and Shiny.

ShinyStatR provides an intuitive, no-code interface for performing a wide range of statistical tests, generating publication-ready plots, and exploring data — all from your browser.

🌐 Try the live app →  |  📦 View source on GitHub →

---

Features

26 Statistical Tests

Category	Tests
Parametric	One-Sample T-Test, One-Sample Z-Test, Two-Sample T-Test (Pooled & Welch's), Two-Sample Z-Test, One-Way ANOVA, Repeated Measures ANOVA
Non-Parametric	Mann-Whitney U, Kruskal-Wallis, Chi-Squared Goodness of Fit
Paired	Paired T-Test, Wilcoxon Signed Rank, Friedman Test
One-Sample	T-Test, Z-Test, Proportion Test
Proportion	One-Sample & Two-Sample Proportion Tests
Variance	Chi-Squared, F-Test, Levene's Test
Normality	Shapiro-Wilk, Kolmogorov-Smirnov (Lilliefors), Two-Sample KS
Survival & ROC	Kaplan-Meier, DeLong Test (Independent & Paired)
Multi-Factor	Two-Way ANOVA, One-Way MANOVA

13 Plot Types

Box, Violin, Dot (Strip), Bee Swarm, Bar (Mean±SE / Mean±SD), Box+Jitter, Violin+Jitter, Violin+Box, Dot (Mean±SD), Histogram, Density, QQ Plot — all with full control over colours, fonts, themes, error bars, and significance annotations.

Multi-Parameter Comparison

Compare multiple numeric parameters across groups simultaneously with auto-detection of column roles, batch statistical testing, and side-by-side visualisation.

Additional Features

• Flexible data input — paste data manually or upload CSV, TXT, TSV, Excel (.xls/.xlsx)
• Exact p-values for Mann-Whitney U and Wilcoxon Signed Rank (via coin package, matching SPSS/Prism)
• Publication-ready exports — high-resolution PNG or SVG plots; CSV or Excel for statistics
• Custom per-group colours with 15+ built-in palettes (including journal-style: Nature, Science, Lancet, JCO, NEJM)
• Interactive test information panels explaining assumptions, formulas, and interpretation for every test

---

Quick Start

Prerequisites

R ≥ 4.0 is recommended. Install all required packages:

install.packages(c(
  "shiny", "shinyWidgets", "shinydashboard", "shinydashboardPlus",
  "DT", "ggplot2", "ggbeeswarm", "ggpubr", "ggsignif",
  "readxl", "writexl", "dplyr", "tidyr", "purrr", "tibble",
  "car", "coin", "survival", "survminer", "pROC",
  "nortest", "multcomp", "broom", "svglite", "colourpicker",
  "cowplot", "scales", "RColorBrewer"
))

Run Locally

# Clone and run
shiny::runApp("App.R")

Or directly from R:

shiny::runApp("path/to/ShinyStatR")

Deploy to shinyapps.io

rsconnect::deployApp("path/to/ShinyStatR")

---

Live Demo

The app is hosted on Posit Connect Cloud — no installation required:

🔗 https://dinuka-shinystatr.share.connect.posit.cloud/

---

Screenshots

Coming soon — the app includes a full dashboard interface with sidebar navigation, interactive data input, customisable plots, and tabbed result views.

---

Dependencies

Package	Purpose
shiny, shinydashboard, shinydashboardPlus, shinyWidgets	UI framework
DT	Interactive data tables
ggplot2, ggpubr, ggsignif, ggbeeswarm	Plotting
colourpicker	Colour selection UI
dplyr, tidyr, purrr, tibble	Data wrangling
readxl, writexl	Excel file I/O
car	Levene's test
coin	Exact non-parametric tests
survival, survminer	Survival analysis
pROC	ROC curves & DeLong test
nortest	Lilliefors normality test
multcomp	Multiple comparisons
broom	Tidy model output
svglite	SVG export
cowplot	Plot grid layout
scales	Colour scale utilities
RColorBrewer	Colour palettes

---

Author

Dinuka Adasooriya
Department of Oral Biology
Yonsei University College of Dentistry
Seoul, Republic of Korea
📧 dinuka90@yuhs.ac
🐙 github.com/Dinuka0001/ShinyStatR
🌐 Live App

---

License

MIT License — see LICENSE for details.