inst/shiny/compare/ui.R

# library(shiny); library("embryogrowth"); runApp("/Users/marcgirondot/Documents/Espace_de_travail_R/_shiny/compare")
# library(shiny); runApp("http://134.158.74.46/compare/")


library(shiny)
package.HelpersMG <- require('HelpersMG')


# Define UI for application that draws a histogram
fluidPage(
  
  # Application title
  
  wellPanel(
    wellPanel(
      HTML("<small><i><font color='#006699'>The Virtual Data initiative, run by LABEX P2IO and supported by Université Paris-Sud, is thanked for providing computing resources on its cloud infrastructure.</font></i></small>")
    )
    , 
    fluidRow(
    h1(HTML("The <em>w</em>-value: An alternative to <em>t</em>- and <em>&chi;<sup>2</sup></em>-tests"), align = "center")
    ), 
    fluidRow(h2(HTML("that does not use <em>p</em>-value"), align = "center")
    ), 
    fluidRow(
      p("This web server version v. 1.05 is a simplified version of the complete tools available ", 
        a("in the HelpersMG R package."
          , href="https://cran.r-project.org/package=HelpersMG"
          , target="_blank"))
    ), 
    fluidRow(p(HTML("The <em>w</em>-value methodology has been developped by 
             <a href=\"https://hebergement.universite-paris-saclay.fr/marcgirondot/\">Marc Girondot</a> and 
             Jean-Michel Guillon."))
    ), 
    fluidRow(
      p("Ecologie, Systématique, Evolution - CNRS, AgroParisTech, Université Paris Saclay, France.")
    ), 
    fluidRow(p("It has been published in: ")
    ), 
    fluidRow(
      p(HTML("<a href=\"https://www.researchgate.net/publication/323847382_The_w-value_An_Alternative_to_t-and_ch2_Tests\">Girondot, M., Guillon, J.-M., 2018. The <em>w</em>-value: An alternative to <em>t</em>- and &chi;<sup>2</sup> tests. Journal of Biostatistics & Biometrics 1(1): 1-4.</a>"))
    ), 
    fluidRow(
      p("")
    )
  ),
    
    # Show a plot of the generated distribution
    mainPanel(
      
      radioButtons("type", "What test should be done ?", 
                   list("Data series"=1, "Homogeneity contingency table"=2, "Conformity contingency table"=3), selected=1, inline = TRUE),
      # selectInput("type", "type"
      #            , choices=as.list(c("Contingency table", "Data"))
      #            , selected = "Data", multiple = FALSE,
      #            selectize = TRUE, width = NULL, size = NULL),
      # selectInput("var.equal", "var.equal"
      #             , choices=as.list(c(FALSE, TRUE))
      #             , selected = TRUE, multiple = FALSE,
      #             selectize = TRUE, width = NULL, size = NULL),
      uiOutput("varData"), 
      # radioButtons("var.equal", "Do the variances of the series should be supposed equal? (for data series test)", 
      #              list("Yes"=1, "No"=2), selected=1, inline = TRUE),
      # selectInput("Criterion", "Criterion"
      #             , choices=as.list(c("AIC", "AICc", "BIC"))
      #             , selected = "AIC", multiple = TRUE,
      #             selectize = TRUE, width = NULL, size = NULL),
      # textInput(inputId="data", label="Data to be analyzed (values separated by space and series by \";\")", 
      #           value="",
      #           width = "100%", 
      #           placeholder=c("12.4 13.3 17.2;12.9 19.20 32.9")),
      uiOutput("typeD"), 
      uiOutput("typeC"), 
      actionButton("goButton", "Compare"), 
      # submitButton("Compare"),
      h4("Results"),
      verbatimTextOutput(outputId="AW"), 
      p("The value \"w-value=BICw(identical)=\" represents the probability that, taking into the available information, a single model for all the series is sufficient 
        to modelize the data. The lower the value (closer to 0), the most likely the series are obtained from different distributions. 
        The higher the value (closer to 1) the most likely the series are obtained from a single distribution."),
      h4("Data table"), 
      tableOutput(outputId="DataOut")
    ), 
  HTML('<img src="http://perso0.free.fr/cgi-bin/wwwcount.cgi?df=Compare.dat&dd=C&ft=0">')
  )
  

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HelpersMG documentation built on May 29, 2024, 3:02 a.m.