# Probability Apps: Shiny apps for exploring probability and statistics
# randNum.R: Random Numbers module
# Copyright 2016 Michael J. Culbertson <culbert1@illinois.edu>
#
# Probability Apps is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published by the
# Free Software Foundation, either version 3 of the License, or (at your option)
# any later version.
#
# Probability Apps is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License
# for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with Probability Apps. If not, see <http://www.gnu.org/licenses/>.
library(dplyr)
library(shiny)
library(ggplot2)
randNum.UI <- function(id) {
ns <- NS(id)
tagList(
wellPanel(fluidRow(
column(6,
selectInput(ns('dist'), label="Distribution", choices=c('Integers', 'Decimals', 'Urn', 'Binary', 'Normal'), selected='Integers'),
conditionalPanel(condition=paste0("input['", ns('dist'), "'] == 'Integers' || input['", ns('dist'), "'] == 'Urn'"), checkboxInput(ns('replace'), 'With Replacement', value=T)),
conditionalPanel(condition=paste0("input['", ns('dist'), "'] == 'Integers'"), numericInput(ns('max'), 'Maximum', 10, min=1, width='6em')),
conditionalPanel(condition=paste0("input['", ns('dist'), "'] == 'Binary'"), numericInput(ns('p'), 'Success Probability', 0.5, 0, 1, width='6em')),
conditionalPanel(condition=paste0("input['", ns('dist'), "'] == 'Urn'"), textAreaInput(ns('outcomes'), 'Outcomes', cols=20, rows=5))
),
column(6,
numericInput(ns('N'), label="Sample Size", value=10, min=1, width='6em'),
actionButton(ns('run'), "Simulate"),
actionButton(ns('clear'), "Clear"),
checkboxInput(ns('reset'), 'Reset', value=T)
)
)),
uiOutput(ns('log'))
)
}
randNum <- function(input, output, session, colors) {
rv <- reactiveValues(
data=NULL
)
# Clear the current data
observe({
input$clear
rv$data <- NULL
})
# Simulate
observeEvent(input$run, {
if (input$reset) rv$data <- NULL
if (input$dist == 'Integers') {
if (!is.na(as.numeric(input$max)) && input$max > 0 && !is.na(as.numeric(input$N)) && input$N > 0)
rv$data <- c(rv$data, sample.int(input$max, ifelse(input$replace, input$N, min(input$N, input$max)), input$replace))
} else if (input$dist == 'Decimals') {
if (!is.na(as.numeric(input$N)) && input$N > 0)
rv$data <- c(rv$data, runif(input$N))
} else if (input$dist == 'Urn') {
if (input$outcomes != '' && !is.na(as.numeric(input$N)) && input$N > 0) {
outcomes <- strsplit(input$outcomes, '\n')[[1]]
rv$data <- c(rv$data, sample(outcomes, ifelse(input$replace, input$N, min(input$N, length(outcomes))), input$replace))
}
} else if (input$dist == 'Binary') {
if (!is.na(as.numeric(input$p)) && input$p > 0 && input$p < 1 && !is.na(as.numeric(input$N)) && input$N > 0)
rv$data <- c(rv$data, sample(c('Success', 'Failure'), input$N, T, c(input$p, 1-input$p)))
} else { # Normal
if (!is.na(as.numeric(input$N)) && input$N > 0)
rv$data <- c(rv$data, rnorm(input$N))
}
})
# Show outcomes list
output$log <- renderUI({
tags$textarea(paste(rv$data, collapse='\n'), rows=20, cols=20, readonly=T)
})
}
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