Awesome-shiny-apps-for-statistics
Statistics app showcase
A curated collection of Shiny apps and resources for teaching statistics concepts
🌟 A curated list of Awesome Shiny Apps for Statistics (ASAS)🌟
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Language: JavaScript
last commit: almost 7 years ago
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Awesome Shiny Apps for Statistics / Resources | |||
Awesome R Shiny | 802 | about 2 years ago | A curated list of resources for R Shiny |
Awesome Shiny Apps for Statistics / Common Plots | |||
Boxplots & Histograms | |||
List of R graphs | |||
Awesome Shiny Apps for Statistics / Common Statistic / continuous variables | |||
Stability of Mean & Median | |||
Correlation | |||
Awesome Shiny Apps for Statistics / Common Statistic / p-value | |||
When does a significant p-value indicate a true effect? | |||
Hack p-value | |||
the Vovk-Sellke maximum p-ratio | the maximum diagnosticity of a two-sided p-value | ||
Awesome Shiny Apps for Statistics / Common Distribution | |||
Uniform | |||
Student's T | |||
Awesome Shiny Apps for Statistics / Common Distribution / Shiny Apps including more than one distribution | |||
Nomral, Binomial, Student's T, F, Chi-square | |||
Awesome Shiny Apps for Statistics / Random Samples | |||
Sampling and standard error | |||
Awesome Shiny Apps for Statistics / Random Samples / Central Limit Theorem | |||
Means | |||
Proportions | |||
Awesome Shiny Apps for Statistics / Two groups or multiple groups comparison | |||
Cohen's d | |||
Awesome Shiny Apps for Statistics / Two groups or multiple groups comparison / ANOVA | |||
Sums of squares in ANOVA | |||
BIC approximation for ANOVA designs | |||
Awesome Shiny Apps for Statistics / 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) | ||
Awesome Shiny Apps for Statistics / Linear Regression | |||
Simple linear regression | |||
Sum of Square in simple linear regression | | - Explore how sums of squares are calculated in simple linear regressions | ||
Fit a simple linear regression model | |||
Diagnostics for simple linear regression | |||
Uncertainty | |||
Influence analysis | Demonstrates the leverage and influence of an adjustable point/outliers | ||
Graphs for linear regression with high orders | |||
Multicollinearity | |||
Model selection | Choose models between simple regression, additive regression, and interactive models | ||
Awesome Shiny Apps for Statistics / Linear Regression / others | |||
Residual error models | |||
Meta analysis | | | ||
Awesome Shiny Apps for Statistics / Nonlinear Models for Continous Variables / K-means Clustering | |||
Estimate K | |||
Awesome Shiny Apps for Statistics / Nonlinear Models for Continous Variables / K-means Clustering / K-means Clustering | |||
Iris dataset | |||
Awesome Shiny Apps for Statistics / Categorical Models | |||
Relationship between test accuracy, precision, sensitivity, and specificity | |||
Awesome Shiny Apps for Statistics / Survival Model | |||
Hazard model | |||
Awesome Shiny Apps for Statistics / Bayesian Analysis | |||
Bayes factors | |||
Robustness analysis for Bayes factors: Two sample t test | |||
Bayesian Inference | |||
Posterior distribution | | - Calculate posterior distribution based on different priors | ||
Awesome Shiny Apps for Statistics / Bayesian Analysis / Hypothesis Testing | |||
Binomial & Normal Distribution | |||
Awesome Shiny Apps for Statistics / Longitudinal Analysis | |||
Longitudinal data exploration | |||
Awesome Shiny Apps for Statistics / Test Analysis | |||
Text analysis of an uploaded .txt file | |||
Awesome Shiny Apps for Statistics / Complete Data Analysis | |||
Linear regression | |||
shinyData | 101 | about 7 years ago | | |
Awesome Shiny Apps for Statistics / Help Wanted | |||
the website | Design the appearance of |
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