Update ui.R

ui.R

@@ -1,16 +1,147 @@
-# k-means only works with numerical variables,
-# so don't give the user the option to select
-# a categorical variable
-vars <- setdiff(names(iris), "Species")
+library(shiny)
+library(ggplot2)
 
-pageWithSidebar(
-  headerPanel('Iris k-means clustering'),
-  sidebarPanel(
-    selectInput('xcol', 'X Variable', vars),
-    selectInput('ycol', 'Y Variable', vars, selected = vars[[2]]),
-    numericInput('clusters', 'Cluster count', 3, min = 1, max = 9)
-  ),
-  mainPanel(
-    plotOutput('plot1')
-  )
-)
+# 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 &mu;:"),
+                                        value="0.5",
+                                        step=0.01),
+                           
+                           numericInput(inputId="sigma",
+                                        label=HTML("Select &sigma;:"),
+                                        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 &mu;:"),
+                                        min=0.01,
+                                        value=1.5,
+                                        step=0.01),
+                           
+                           numericInput(inputId="phi_gamma",
+                                        label=HTML("Select &phi;:"),
+                                        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 &mu;:"),
+                                        min=0.01,
+                                        value="1.5",
+                                        step=0.01),
+                           
+                           numericInput(inputId="phi_invgaus",
+                                        #label=HTML("Select &phi;:"),
+                                        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 &mu;:"),
+                                        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 &mu;:"),
+                                        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 &mu;:"),
+                                        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")
+        )
+    )
+))