Data Input

Number of Groups:

Data Separator:

Data Preview

Choose File:

Browse...

Supported formats: CSV, TXT, TSV, Excel (.xls, .xlsx)

Separator (text files):

File has header row

Excel Sheet:

Data Format:

Group Column:

Value Column:

Uploaded Data Preview

Parametric Tests (assume normal distribution)

Select Test:

Alternative:

Confidence Level:

Hypothesized Mean (mu):

Known Sigma:

Known Sigma (Group 2):

Show test details

Non-Parametric Tests (no distribution assumptions)

Select Test:

Alternative:

Confidence Level:

Exact p-value

Continuity correction

Exact is recommended for small samples (n < 50). Continuity correction only applies when exact = FALSE.

Expected Proportions (comma-separated):

Show test details

Paired / Repeated Measures Tests

Select Test:

Alternative:

Confidence Level:

Exact p-value

Continuity correction

Exact is recommended for small samples.

Show test details

One-Sample Tests

Select Test:

Hypothesized value:

Known sigma:

Number of successes:

Number of trials:

Show test details

Proportion Tests

Select Test:

Alternative:

Confidence Level:

Group 1:

Successes:

Trials:

Group 2:

Successes:

Trials:

Hypothesized proportion:

Show test details

Tests for Variances

Select Test:

Alternative:

Hypothesized Variance:

Show test details

Normality & Distribution Tests

Select Test:

Show test details

Survival Analysis & ROC Curves

Select Analysis:

Data format: Group should contain time values. Create a separate group for event/status (1=event, 0=censored).

Data format: Need groups for actual class labels (0/1), predictor scores from Model 1, and predictor scores from Model 2.

Show test details

Multi-Factor & Multivariate Tests

Select Test:

Data format: Need columns for Factor A, Factor B, and the response variable. Use the file upload for structured data.

Data format: Need a grouping column and multiple response variable columns. Use the file upload for structured data.

Show test details

Results & Data Summary

About ShinyStatR

ShinyStatR v1.0.0

ShinyStatR is a comprehensive, web-based statistical analysis tool built with R and Shiny. It provides an intuitive interface for performing a wide range of statistical tests, generating publication-ready plots, and exploring data — all without writing a single line of code.

Key Features

26 statistical tests covering parametric, non-parametric, paired, one-sample, proportion, variance, normality, survival/ROC, and multi-factor analyses
Flexible data input — manual entry or file upload (CSV, Excel, TXT)
Exact p-values for Mann-Whitney U and Wilcoxon Signed Rank tests using the coin package, matching SPSS/Prism output
13 customisable plot types with full control over colours, fonts, themes, error bars, significance annotations, and custom per-group colours
Publication-ready exports — download plots as high-resolution PNG or SVG, and descriptive statistics as CSV or Excel

R Packages Used

This application relies on the following open-source R packages:

shiny / shinydashboard
shinydashboardPlus
shinyWidgets
DT
ggplot2
ggpubr
ggsignif
ggbeeswarm
colourpicker

dplyr / tidyr
purrr / tibble
readxl / writexl
car
coin
nortest
multcomp
broom

survival
survminer
pROC
svglite
RColorBrewer
cowplot
scales

Developer

Dinuka Adasooriya
Department of Oral Biology
Yonsei University College of Dentistry
Seoul, Republic of Korea
dinuka90@yuhs.ac

Paste your data (any column order). Use the separator matching your data. The first row should be a header.

Separator:

First row is header

Choose File:

Browse...

Supported: CSV, TXT, TSV, Excel. Any column arrangement.

Separator (text files):

File has header

Excel Sheet:

Plot Options

Plot Layout:

Separate plots (one per parameter)

Single combined plot (all parameters)

Plot Type:

Set custom Y-axis limits

Applied per-parameter in separate mode, or to the full combined plot.

Y Min:

Y Max:

Free Y-axis scales per parameter

Point Size:

Fill Transparency:

Color Palette:

Theme:

Statistical Test

Comparison Method:

Known Sigma:

Known Sigma (Group 2):

Show significance on plots

Significance Label:

Download

W (cm):

H (cm):

DPI:

PNG SVG

Comparison Plots

Statistical Results

CSV Excel

Descriptive Statistics

CSV Excel

Data Preview

Uploaded Data Preview

Group 1:

Group 2:

Descriptive Statistics

All Test Results

Current Dataset

Plot Configuration

Aesthetics

Layout & Labels

Error Bars & Overlays

Significance

Spacing & Dimensions

Plot Output

ShinyStatR v1.0.0

Key Features

R Packages Used

Developer

Links

Step 1: Load Data

Plot Options

Statistical Test

Download

Comparison Plots

Statistical Results

Descriptive Statistics