GitHub - andreeaony/ShinyApp-for-different-distributions-in-R: This Shiny application allows users to visualize the cumulative distribution functions (CDFs) of a random variable 𝑥 following one of the selected probability distributions: Standard Normal Distribution - 𝑁(0,1) , General Normal Distribution - 𝑁(𝜇,𝜎^2) or Exponential Distribution - 𝐸𝑥𝑝(𝜆). Users can select the distribution's parameters.

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Name		Name	Last commit message	Last commit date
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CodeForShinyAppInR.r		CodeForShinyAppInR.r
Exp(λ) distribution - first example.jpg		Exp(λ) distribution - first example.jpg
Exp(λ) distribution - second example.jpg		Exp(λ) distribution - second example.jpg
N(0,1) distribution - first example.png		N(0,1) distribution - first example.png
N(0,1) distribution - second example.png		N(0,1) distribution - second example.png
N(μ, σ^2) distribution - first example.png		N(μ, σ^2) distribution - first example.png
N(μ, σ^2) distribution - second example.png		N(μ, σ^2) distribution - second example.png

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This Shiny application allows users to visualize the cumulative distribution functions (CDFs) of a random variable 𝑥 following one of the selected probability distributions: Standard Normal Distribution - 𝑁(0,1) , General Normal Distribution - 𝑁(𝜇,𝜎^2) or Exponential Distribution - 𝐸𝑥𝑝(𝜆). Users can select the distribution's parameters.

exponential-distribution normal-distribution plot probability-distribution

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