library("shiny")
source("distributionFunctions.R")
# Define UI ----
ui <- fluidPage(
titlePanel("Select your distribution"),
sidebarLayout(
sidebarPanel(
tabsetPanel(id = "tabset",
tabPanel("Uniform",
numericInput("uniIN1", "a", 0),
numericInput("uniIN2", "b", 100)),
tabPanel("Bernoulli",
numericInput("berIN1", "par (0,1)", 0.42)),
tabPanel("Binomial",
numericInput("binIN1", "p (0,1)", 0.3),
numericInput("binIN2", "n", 20)),
tabPanel("Geometric",
numericInput("geoIN1", "p (0,1)", 0.4)),
tabPanel("Exponential",
numericInput("expIN1", "landa", 3)),
tabPanel("Gamma",
numericInput("gamIN1", "landa", 3),
numericInput("gamIN2", "k", 20)),
tabPanel("Poisson",
numericInput("poiIN1", "landa", 3),
numericInput("poiIN2", "k", 20)),
tabPanel("Normal",
numericInput("norIN1", "mean", 0),
numericInput("norIN2", "var", 4))
),
actionButton("go", "Plot"),br(),
h3("Estimation Feature"),
fileInput("file",
helpText("upload your file here to stimate")),
actionButton("estimate", "Estimate"),
textOutput("estimate")
),
mainPanel(
plotOutput("plot")
)
)
)
# Define server logic ----
server <- function(input, output){
v <- reactiveValues(doPlot = FALSE)
observeEvent(input$go, {
# 0 will be coerced to FALSE
# 1+ will be coerced to TRUE
v$doPlot <- input$go
})
observeEvent(input$tabset, {
v$doPlot <- FALSE
})
output$plot <- renderPlot({
if (v$doPlot == FALSE) return()
isolate({
switch (input$tabset,
"Uniform" = uniform_visualization(input$uniIN1, input$uniIN2),
"Bernoulli" = bernoulli_visualization(input$berIN1),
"Binomial" = binomial_visualization(input$binIN1,input$binIN2),
"Geometric" = geometric_visualization(input$geoIN1),
"Exponential" = exponential_visualization(input$expIN1),
"Gamma" = gamma_visualization(input$gamIN1,input$gamIN2),
"Poisson" = poisson_visualization(input$poiIN1,input$poiIN2),
"Normal" = normal_visualization(input$norIN1,input$norIN2)
)
})
})
output$estimate <- renderText({
paste("Ali akbar complete it estimate function ",input$tabset)
})
}
# Run the app ----
shinyApp(ui = ui, server = server)
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