Awesome-shiny-apps-for-statistics
by huyingjie
๐ A curated list of Awesome Shiny Apps for Statistics (ASAS)๐
AI summary
Statistics app showcase
A curated collection of Shiny apps and resources for teaching statistics concepts
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What's in the list
46 links in 23 sections, with live GitHub stats.activeno commit in 2y
Resources
Awesome R Shiny
A curated list of resources for R Shiny
Common Plots
Common Statistic / continuous variables
Common Statistic / p-value
- the Vovk-Sellke maximum p-ratio
the maximum diagnosticity of a two-sided p-value
Common Distribution
Common Distribution / Shiny Apps including more than one distribution
Random Samples
Random Samples / Central Limit Theorem
Two groups or multiple groups comparison
Two groups or multiple groups comparison / ANOVA
Hypothesis Testing
- Bootstrap resampling
Demonstrate hypothesis testing using bootstrap resampling
- Power
Demonstrate the relationship of statistical power, effect size, and false positives
- Calculate power
Calculat the power of a statistical hypothesis test for a two-sided symmetrical test and show how statistical power is related to the p-value and the significance level
- Trade Off
Visualize the trade off between type I and type II errors in a Null Hypothesis Significance Test (NHST)
Linear Regression
- Sum of Square in simple linear regression
| - Explore how sums of squares are calculated in simple linear regressions
- Influence analysis
Demonstrates the leverage and influence of an adjustable point/outliers
- Model selection
Choose models between simple regression, additive regression, and interactive models
Linear Regression / others
Nonlinear Models for Continous Variables / K-means Clustering
Nonlinear Models for Continous Variables / K-means Clustering / K-means Clustering
Categorical Models
Survival Model
Bayesian Analysis
- Posterior distribution
| - Calculate posterior distribution based on different priors
Bayesian Analysis / Hypothesis Testing
Longitudinal Analysis
Test Analysis
Complete Data Analysis
Help Wanted
- the website
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