BCD Statistics
R/Shiny Applications for Learning Statistical Concepts

Note that these applications are under regular development and expansion. Check back often.
These Shiny apps are developed by B. Dudek, Univeristy at Albany using the Shiny package from RStudio and R.
Code for these apps can be found in B. Dudek's bcdstats package on Github

Last updated 8-7-2025
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These apps all open in new browser windows.
Probability Distribution Apps (visualizations to supplement/replace textbook tables of these distributions)
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 Binomial Distribution
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 Standard Normal Distribution
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 Student's "t" Distribution
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 Chi-square Distribution
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 F Distribution
Univariate and Bivariate Data and Computation Visualizations
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 Univariate Description and Graphs
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 Visualize Sum of Squares and Variance
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 Visualize Bivariate Correlation and Covariance - the Rectangles App.
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 Simple Regression Simulation, - visualize predicted values and linear fit
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 Visualize Components of LOESS Smoothing
Core Concepts Related to Inference
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 Sampling Distributions and Central Limit Theorem Visualization
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 Visualize Type II Error Rates in a One-sample test of a Mean
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 Visualize Simulated Distributions of p-values
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 Distribution Overlap and Effect Size Indices
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 Visualize Confidence Intervals of the Mean
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 Visualize the relationships between confidence intervals and p-values
Other Miscl Apps
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 Maximum Liklihood Basics demonstrated wtih the binomial distribution.
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 Orthogonal Polynomials and "Trend Analysis" in an ANOVA context
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 Visualize interactions, simple main effects, simple slopes and model surfaces in 2-IV linear models