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Still only a few distributions are implemented, more to come ...
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| #SOCR Probability Distribution Calculator | ||
| #Version 0.4 | ||
| #Updated July 19th 2020 by Jared (Tianyi) Chai at the University of Michigan -SOCR | ||
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| # This is a SOCR Interactive Graphical Probability Distribution Calculator | ||
| # You can run the application by clicking | ||
| # the 'Run App' button above. | ||
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| # ----------------------- Global.R ----------------------- # | ||
| #For Retrieving and Storing Global Variables | ||
| library(xml2) | ||
| library(shiny) | ||
| library(plotly) | ||
| library(stringr) | ||
| library("Rlab") | ||
| library("shinyWidgets") | ||
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| # ----------------------- Parse and Store XML Databse of Metadata from Distributome Project ----------------------- # | ||
| XML_data <- read_xml("http://www.distributome.org/js/Distributome.xml",encoding = "UTF-8",as_html=FALSE,options = c("RECOVER", "NOERROR", "NOBLANKS")) | ||
| XML_rootnode <- xml_root(XML_data) | ||
| XML_distributions <- xml_children(xml_child(XML_rootnode)) | ||
| XML_len <- length(XML_distributions) | ||
| XML_wid = 0 | ||
| XML_tags <- c() | ||
| for (i in 1:XML_len){ | ||
| XML_i <-xml_contents(XML_distributions[[i]]) | ||
| width <- length(XML_i) | ||
| if(width > XML_wid){ | ||
| XML_wid = width | ||
| XML_tags = xml_name(XML_i) | ||
| } | ||
| } | ||
| distributions_meta <- matrix("",XML_wid,XML_len*2) | ||
| for (i in 1:XML_len){ | ||
| XML_i <-xml_contents(XML_distributions[[i]]) | ||
| width <- length(XML_i) | ||
| for (j in 1:width){ | ||
| distributions_meta[[j,i*2-1]]<-xml_name(XML_i[j]) | ||
| distributions_meta[[j,i*2]]<-xml_text(XML_i[j]) | ||
| } | ||
| } | ||
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| # ----------------------- Complete List of All Probability Distributions ----------------------- # | ||
| distributions <- c("Anderson-Darling Distribution", | ||
| "ArcSine Distribution", | ||
| "Benford Distribution", | ||
| "Bernoulli Distribution", | ||
| "Beta Distribution", | ||
| "Beta (Generalized) Distribution", | ||
| "Beta-Binomial Distribution", | ||
| "Binomial Distribution", | ||
| "Birthday Distribution", | ||
| "(3D) Bivariate Normal Distribution", | ||
| "Cauchy Distribution", | ||
| "Chi Distribution", | ||
| "Chi-Square Distribution", | ||
| "(Non-Central) Chi-Squre Distribution", | ||
| "Circle Distribution", | ||
| "Continous Uniform Distribution", | ||
| "Coupon Distribution", | ||
| "Die Distribution", | ||
| "Discrete ArcSine Distribution", | ||
| "Discrete Uniform Distribution", | ||
| "Erlang Distribution", | ||
| "Error Distribution", | ||
| "Exponential Distribution", | ||
| "Finite Distribution", | ||
| "Fisher's F Distribution", | ||
| "Fisher-Tippett Distribution", | ||
| "Gamma Distribution", | ||
| "General Cauchy Distribution", | ||
| "Generalized Extreme Value (GEV) Distribution", | ||
| "Geometric Distribution", | ||
| "Gilbrats Distribution", | ||
| "Gompertz Distribution", | ||
| "Gumbel Distribution", | ||
| "Half-Normal Distribution", | ||
| "Hyper Geometric Distribution", | ||
| "Hyperbolic-Secant Distribution", | ||
| "Inverse-Gamma Distribution", | ||
| "Inverse Gaussian (Wald) Distribution", | ||
| "Johnson SB (Bounded) Distribution", | ||
| "Johnson SU (Unbounded) Distribution", | ||
| "Kolmogorov Distribution", | ||
| "Laplace Distribution", | ||
| "Logarithmic-Series Distribution", | ||
| "Logistic Distribution", | ||
| "Logistic-Exponential Distribution", | ||
| "Log-Normal Distribution", | ||
| "Lomax Distribution", | ||
| "Matching Distribution", | ||
| "Maxwell Distribution", | ||
| "Minimax Distribution", | ||
| "Mixture Distribution", | ||
| "Multinomial Distribution", | ||
| "Muth Distribution", | ||
| "Negative-Binomial Distribution", | ||
| "Negative-HyperGeometric Distribution", | ||
| "Negative-Multinomial Distribution", | ||
| "Normal Distribution", | ||
| "Normal Truncated Distribution", | ||
| "Pareto Distribution", | ||
| "Point-Mass Distribution", | ||
| "Poisson Distribution", | ||
| "Poker-Dice Distribution", | ||
| "Power-Function Distribution", | ||
| "Rayleigh Distribution", | ||
| "Rice (Rician) Distribution", | ||
| "Student's T Distribution", | ||
| "Student's T Non-Central Distribution", | ||
| "Triangle Distribution", | ||
| "Two-Sided Power Distribution", | ||
| "U-Quadratic Distribution", | ||
| "Von Mises Distribution", | ||
| "WalkMax Distribution", | ||
| "WalkPosition Distribution", | ||
| "Weibull Distribution", | ||
| "Zipf-Manelbrot Distribution") |
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