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| library(shiny) | |
| library(ggplot2) | |
| # Define UI for application that draws a histogram | |
| shinyUI(fluidPage( | |
| # Application title | |
| titlePanel("glm distributions"), | |
| h4("Select the glm distribution and then fixe | |
| the parameters to obtain the probability distribution."), | |
| # Sidebar with a slider input for number of bins | |
| sidebarLayout( | |
| sidebarPanel( | |
| selectInput("Distribucion", | |
| "What distribution?", | |
| choices=c("Normal", "Gamma", "Inv. gaussian", | |
| "Binomial", | |
| "Poisson", "Negative binomial"), | |
| selected="Normal"), | |
| conditionalPanel(condition="input.Distribucion=='Normal'", | |
| numericInput(inputId="mu_normal", | |
| label=HTML("Select μ:"), | |
| value="0.5", | |
| step=0.01), | |
| numericInput(inputId="sigma", | |
| label=HTML("Select σ:"), | |
| min=0.01, | |
| value="1.2", | |
| step=0.01), | |
| numericInput(inputId="min_normal", | |
| label="Select the minimun value for xlim", | |
| value="-1", step=1), | |
| numericInput(inputId="max_normal", | |
| label="Select the maximum value for xlim", | |
| value="3", step=1) | |
| ), | |
| conditionalPanel(condition="input.Distribucion=='Gamma'", | |
| numericInput(inputId="mu_gamma", | |
| label=HTML("Select μ:"), | |
| min=0.01, | |
| value=1.5, | |
| step=0.01), | |
| numericInput(inputId="phi_gamma", | |
| label=HTML("Select φ:"), | |
| min=0.01, | |
| value=0.3, | |
| step=0.01), | |
| numericInput(inputId="min_gamma", | |
| label="Select the minimun value for xlim", | |
| value="0.01", step=1), | |
| numericInput(inputId="max_gamma", | |
| label="Select the maximum value for xlim", | |
| value="3", step=1) | |
| ), | |
| conditionalPanel(condition="input.Distribucion=='Inv. gaussian'", | |
| numericInput(inputId="mu_invgaus", | |
| label=HTML("Select μ:"), | |
| min=0.01, | |
| value="1.5", | |
| step=0.01), | |
| numericInput(inputId="phi_invgaus", | |
| #label=HTML("Select φ:"), | |
| label="Select φ", | |
| min=0.1, | |
| value="1.2", | |
| step=0.1), | |
| numericInput(inputId="min_invgaus", | |
| label="Select the minimun value for xlim", | |
| value="0.01", step=1), | |
| numericInput(inputId="max_invgaus", | |
| label="Select the maximum value for xlim", | |
| value="3", step=1) | |
| ), | |
| conditionalPanel(condition="input.Distribucion=='Binomial'", | |
| numericInput(inputId="mu_binom", | |
| label=HTML("Select μ:"), | |
| min=0.01, | |
| max=0.99, | |
| value=0.3, | |
| step=0.01), | |
| numericInput(inputId="m", | |
| label=HTML("Select m the number of experiments"), | |
| min=1, | |
| value=7, | |
| step=1) | |
| ), | |
| conditionalPanel(condition="input.Distribucion=='Poisson'", | |
| numericInput(inputId="mu_pois", | |
| label=HTML("Select μ:"), | |
| min=0.01, | |
| value="2.7", | |
| step=0.01), | |
| numericInput(inputId="max_pois", | |
| label="Select the maximum value for xlim", | |
| value="15", step=1) | |
| ), | |
| conditionalPanel(condition="input.Distribucion=='Negative binomial'", | |
| numericInput(inputId="mu_negbin", | |
| label=HTML("Select μ:"), | |
| min=0.01, | |
| value="2.7", | |
| step=0.01), | |
| numericInput(inputId="k", | |
| label=HTML("Select k"), | |
| min=0.01, | |
| value="1.6", | |
| step=0.01), | |
| numericInput(inputId="max_negbin", | |
| label="Select the maximum value for xlim", | |
| value="15", step=1) | |
| ), | |
| img(src="logo.png", height = 60, width = 140), | |
| ), | |
| # Show a plot of the generated distribution | |
| mainPanel( | |
| plotOutput("distPlot", width = "400px") | |
| ) | |
| ) | |
| )) | |