Nothing
# ui script for HCPC2
fluidPage(
titlePanel(div(paste(gettext("HCPC on the dataset",domain="R-Factoshiny"),nomDataHCPCshiny),style="color:#0A2A12",align="center"),windowTitle="HCPCshiny"),
sidebarLayout(
sidebarPanel(
tags$head(
tags$style("body {background-color: #D2FAE5; }"),
tags$style(type='text/css', "#title1 { height: 25px; }"),
tags$style(type='text/css', "#title2 { height: 25px; }"),
tags$style(type='text/css', "#title3 { height: 25px; }"),
tags$style(type="text/css", "#loadmessage { padding: 5px 0px 5px 0px; text-align: center; font-weight: bold; font-size: 100%; color: #000000; background-color: #ff8533; z-index: 105; }")
),
wellPanel(
div(align="center",checkboxInput("hcpcparam",gettext("Show HCPC parameters",domain="R-Factoshiny"),FALSE)),
conditionalPanel(
condition="input.hcpcparam==true",
uiOutput("clusters"),
uiOutput("clusterCA"),
div(checkboxInput("kkparam",gettext("Kmeans preprocessing before clustering (useful if many elements)",domain="R-Factoshiny"),kkparamInit)),
conditionalPanel(
condition="input.kkparam==true",
uiOutput("kkInt")),
checkboxInput("consoli","Consolidation",consolidfHCPCshiny),
radioButtons("metric",gettext("Which metric would you like to use?",domain="R-Factoshiny"),choices=list(gettext("Euclidean",domain="R-Factoshiny"),"Manhattan"),inline=TRUE,select=metricdfHCPCshiny)
),
style = "padding: 3px;background-color: #ffdbdb;"),
wellPanel(
div(align="center",checkboxInput("graph",gettext("Graphical options",domain="R-Factoshiny"),FALSE)),
conditionalPanel(
condition="input.graph==true",
div(gettext("Axes:",domain="R-Factoshiny"), style="display: inline-block;padding: 5px"),
div(uiOutput("NB1"), style="display: inline-block;"),
div(uiOutput("NB2"), style="display: inline-block;"),
radioButtons("HCPCgraph",gettext("Which graph do you want to modify?",domain="R-Factoshiny"),
choices=list(gettext("Hierarchical tree",domain="R-Factoshiny"),gettext("Factorial map",domain="R-Factoshiny"),gettext("3D plot",domain="R-Factoshiny")),inline=TRUE),
conditionalPanel(
condition=paste("input.HCPCgraph=='",gettext("3D plot",domain="R-Factoshiny"),"'",sep=''),
textInput("title1HCPCshiny",gettext("Title of the graph: ",domain="R-Factoshiny"), title1HCPCshiny),
checkboxInput("nom3D",gettext("Names on 3D plot",domain="R-Factoshiny"),dfHCPCshiny),
checkboxInput("center",gettext("Draw centers of clusters",domain="R-Factoshiny"),centerdfHCPCshiny),
hr(),
sliderInput("num",gettext("Angle (in degrees)",domain="R-Factoshiny"),value=numdfHCPCshiny,min=0,max=360,step=1)
),
conditionalPanel(
condition=paste("input.HCPCgraph=='",gettext("Factorial map",domain="R-Factoshiny"),"'",sep=''),
textInput("title2HCPCshiny",gettext("Title of the graph:",domain="R-Factoshiny"), title2HCPCshiny),
checkboxInput("drawtree",gettext("Draw tree",domain="R-Factoshiny"),drawdfHCPCshiny)
),
conditionalPanel(
condition=paste("input.HCPCgraph=='",gettext("Hierarchical tree",domain="R-Factoshiny"),"'",sep=''),
textInput("title3HCPCshiny",gettext("Title of the graph:",domain="R-Factoshiny"), title3HCPCshiny))
),
style = "padding: 3px;background-color: #fcefba"),
wellPanel(
div(align="center",checkboxInput("reportparam",gettext("Automatic report",domain="R-Factoshiny"),FALSE)),
conditionalPanel(
condition="input.reportparam==true",
div(gettext("File name (without extension):",domain="R-Factoshiny")),
textInput("titleFile",NULL, paste0(gettext("Report",domain="R-Factoshiny"),"_",Sys.Date()),width=200),
if (strsplit(Sys.getlocale("LC_COLLATE"),"_")[[1]][1]!="French"){ radioButtons("choixLANG",gettext("Language",domain="R-Factoshiny"), choices=c(gettext("English",domain="R-Factoshiny"),gettext("French",domain="R-Factoshiny")), selected = gettext("English",domain="R-Factoshiny"), inline=TRUE)} else {radioButtons("choixLANG",gettext("Language",domain="R-Factoshiny"), choices=c(gettext("English",domain="R-Factoshiny"),gettext("French",domain="R-Factoshiny")), selected = gettext("French",domain="R-Factoshiny"), inline=TRUE)},
div(downloadButton("downloadInvestigateRmd", "Rmd",style = "padding: 3px;"),actionButton("Investigatehtml", "html"), actionButton("Investigatedoc", "doc")),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",tags$div(gettext("Ongoing reporting process...",domain="R-Factoshiny"),id="loadmessage"))
),
align="center", style = "padding: 3px;background-color: #dbe6ff"
),
wellPanel(
div(align="center",checkboxInput("HCPCcode",gettext("Get the HCPC code",domain="R-Factoshiny"),FALSE)),style='padding:5px; background-color: yellow;text-align:center;white-space: normal;'
),
div(align="center",actionButton("Quit", gettext("Quit the app",domain="R-Factoshiny"),style='padding:5px; background-color: #fcac44;text-align:center;white-space: normal;'))
,width=3,style="background-color: #9b9b9b;padding: 4px"),
mainPanel(
tags$style(type = "text/css", "a{color: #0B6121;}"),
tabsetPanel(id = "graph_sort",
tabPanel(gettext("Graphs",domain="R-Factoshiny"),
div(verbatimTextOutput("CodePrinted")),
fluidRow(
br(),
column(width = 6,shinyjqui::jqui_resizable(plotOutput("mapTree", height="500")),
br(),
p(gettext("Download as",domain="R-Factoshiny"),downloadButton("downloadData6","jpg"),downloadButton("downloadData7","png"),downloadButton("downloadData8","pdf"),align="center"),
br(),
align="center"),
column(width = 6,shinyjqui::jqui_resizable(plotOutput("map2D", height="500")),
br(),
p(gettext("Download as",domain="R-Factoshiny"),downloadButton("downloadData1","jpg"),downloadButton("downloadData","png"),downloadButton("downloadData2","pdf"),align="center"),
align="center")),
br(),
div(align="center",shinyjqui::jqui_resizable(plotOutput("map3D", height="500"))),
br(),
p(gettext("Download as",domain="R-Factoshiny"),downloadButton("downloadData4","jpg"),downloadButton("downloadData3","png"),downloadButton("downloadData5","pdf"),align="center"),
br()
),
tabPanel(gettext("Clusters' characterization",domain="R-Factoshiny"),
# div(verbatimTextOutput("CodePrintedCatdes")),
br(),
numericInput(inputId = "select_proba_plot", label = gettext("P-value",domain="R-Factoshiny"), min = 0, max = 1, value = 0.05, step = 0.1),
h4(gettext("Description of each cluster by quantitative variables and categories",domain="R-Factoshiny")),
# actionButton("download_cate_both", gettext("HTML",domain="R-Factoshiny")),
DT::dataTableOutput("tableau_df_both", width = "80%")
),
tabPanel(
title = gettext("Links with the partition",domain="R-Factoshiny"),
h4(gettext("Link with the quantitative variables",domain="R-Factoshiny")),
# actionButton("download_tabquanti", gettext("HTML",domain="R-Factoshiny")),
DT::dataTableOutput("table_link_quanti"),
h4(gettext("Link with the qualitative variables",domain="R-Factoshiny")),
# actionButton("download_tabquali", gettext("HTML",domain="R-Factoshiny")),
DT::dataTableOutput("table_link_chisquare")
),
tabPanel(gettext("Values",domain="R-Factoshiny"),
div(verbatimTextOutput("CodePrintedSummary")),
br(),
numericInput("pvalueDimdesc",gettext("P-value",domain="R-Factoshiny"),value=pvalueDimdescInit, min=0,max=1),
radioButtons("out",gettext("Which outputs do you want?",domain="R-Factoshiny"),
choices=list(gettext("Description of partition and classes by the variables",domain="R-Factoshiny"),gettext("Description of classes by axes",domain="R-Factoshiny"),gettext("Parangons",domain="R-Factoshiny"),gettext("Specificity",domain="R-Factoshiny")),selected=gettext("Description of partition and classes by the variables",domain="R-Factoshiny"),inline=TRUE),
conditionalPanel(
condition=paste("input.out=='",gettext("Description of partition and classes by the variables",domain="R-Factoshiny"),"'",sep=''),
verbatimTextOutput("printDescVar"),
),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Description of classes by quantitative variables",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("descriptquanti"))
# ),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Description of partition by qualitative variables",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("descriptqualivar"))
# ),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Description of classes by qualitative variables",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("descriptquali"))
# ),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Parangons",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("parangons"))),
conditionalPanel(
condition=paste("input.out=='",gettext("Parangons",domain="R-Factoshiny"),"'",sep=''),
verbatimTextOutput("printDescPara")),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Specificity",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("distind"))),
conditionalPanel(
condition=paste("input.out=='",gettext("Specificity",domain="R-Factoshiny"),"'",sep=''),
verbatimTextOutput("printDescDist")),
# conditionalPanel(
# condition=paste("input.out=='",gettext("Description of classes by axes",domain="R-Factoshiny"),"'",sep=''),
# div(align="center",tableOutput("axes")))
conditionalPanel(
condition=paste("input.out=='",gettext("Description of classes by axes",domain="R-Factoshiny"),"'",sep=''),
verbatimTextOutput("printDescAxes"))
)
)
,width=9)
)
)
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