Nothing
inst/SensMapUI/ui.R
In SensMap: Sensory and Consumer Data Mapping
library(shiny)
library(DT)
library(shinydashboard);
library(googleVis);
require(pastecs);
library(plotly)
library(shinyBS)
library(shinyjs)
library(FactoMineR)
library(factoextra)
library(MASS)
library(fields)
library(plotly)
library(mgcv)
library(MCMCpack)
library(glmulti)
library(plyr)
library(lattice)
library(ggplot2)
library(reshape2)
library(shiny)
library(googleVis)
library(multcomp)
library(sjPlot)
library(scales)
library(doBy)
library(gridExtra)
library(agricolae)
library(devtools)
library(magrittr)
library(ggbiplot)
library(ggdendro)
library(dendextend)
library(grid)
#devtools::install_github("vqv/ggbiplot")
#install.packages("ggdendro")
#install.packages("pastecs")
library(pastecs)
shinyUI(bootstrapPage(
dashboardPage(
skin = "purple",
dashboardHeader(title = "SensMapGUI: Easy web-tool for consumer and sensory data mapping",
titleWidth = 800),
dashboardSidebar(width = 300,
sidebarMenu(
sidebarSearchForm(textId = "searchText", buttonId = "searchButton",
label = "Search..."),
menuItem("Upload Data", icon = icon("upload"), tabName = "sensorydata"),
menuItem("Sensory Data Analysis", tabName = "statdesc", icon = icon("file-text-o")),
menuItem("Consumer Data Analysis", tabName = "statdesc1", icon = icon("file-o")),
menuItem("Internal Preference Mapping",icon = icon("object-group"), tabName = "intermap"),
menuItem("External Preference Mapping",icon = icon("random"), tabName = "epm"),
menuItem("Consumer preference prediction",icon = icon("commenting"), tabName = "resmod"),
menuItem("Smoothing of External Preference Mapping",icon = icon("map-signs"), tabName = "epmsmooth"),
menuItem("Stability of External Preference Mapping", tabName = "compmap", icon = icon("cubes"))
)
),
dashboardBody(
shinyjs::useShinyjs(),
tags$script(HTML("$('body').addClass('skin-blue sidebar-mini');")),
tags$head(tags$style(HTML('
.main-header .logo {
font-family: "Georgia", Times, "Times New Roman", serif;
font-weight: bold;
font-size: 20px;
}
'))),
tabItems(
tabItem(tabName = "sensorydata",
fluidPage(tabBox(width=12,
tabPanel(h4(tags$b("Data")),
fluidPage(
tabBox(width=12,
id = "sensorydatatab",
tabPanel(h4("Sensory Data"),
fileInput('rawInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
column(3,uiOutput("assessor")),
column(3,uiOutput("replication")),
column(3,uiOutput("product")),
checkboxInput('headerUI','Header',TRUE),
radioButtons('sepUI','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('decUI','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quoteUI','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote') ),
tabPanel(h4("Consumer Data"),
fileInput('consInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
uiOutput("labelconsUI"),
checkboxInput('headUI','Header',TRUE),
radioButtons('sepaUI','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('deccUI','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quotUI','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote')),
tabPanel(h4("Physico-Chemical Data"),
fileInput('physicalInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
uiOutput("labelphyUI"),
checkboxInput('headUI_phy','Header',TRUE),
radioButtons('sepaUI_phy','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('decUI_phy','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quotUI_phy','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote'))
))
),
tabPanel(h4(tags$b("View Data")),
fluidPage(
tabBox(width=12,
id = "phydata",
tabPanel(h4("Sensory Data"), div(style = 'overflow-x: scroll', dataTableOutput('pre.data'))),
tabPanel(h4("Consumer Data"), div(style = 'overflow-x: scroll', dataTableOutput('cons.data'))),
tabPanel(h4("Physico-Chemical Data"), div(style = 'overflow-x: scroll', dataTableOutput('phy.data')))))
),
tabPanel(h4(tags$b("Summary Tables")),
fluidPage(
tabBox(width=12,
id = "statdesc",
tabPanel(h4("Average table by product"),div(style = 'overflow-x: scroll',dataTableOutput('av')),
downloadButton("downloadav", "Download Table",class = "butt")),
tabPanel(h4("Average table by product and assessor"),div(style = 'overflow-x: scroll',dataTableOutput('av.table2')),
downloadButton("downloadavt", "Download Table",class = "butt"))
)
))
))
),
tabItem(tabName = "statdesc",
fluidPage(
tabBox(width=12,
tabPanel(h4(tags$b("Descriptive Analysis")),width=12,
fluidRow(
tabBox(width=12,
id = "char",
tabPanel("Boxplot",
box( title = tags$b("Inputs"), status = "primary",solidHeader = TRUE,collapsible = TRUE,
uiOutput("gdesc"),
uiOutput("gfactor"),
htmlOutput("jitter"),
tags$hr(),
width = 4,
# uiOutput("down"),
selectInput(
inputId = "downloadPlotType",
label = "Select download file type:",
choices = list("PDF" = "pdf","BMP" = "bmp","JPEG" = "jpeg","PNG" = "png")),
# Allow the user to set the height and width of the plot download.
# h5(HTML("Set download image dimensions(units are inches for PDF, pixels for all other formats)")),
numericInput(
inputId = "downloadPlotHeight",label = "Height (inches)",value = 7,min = 1,max = 100),
numericInput(
inputId = "downloadPlotWidth",label = "Width (inches)",value = 10,min = 1,max = 100),
#Choose download filename.
textInput(
inputId = "downloadPlotFileName",
label = "Enter file name for download"),
downloadButton(
outputId = "downloadPlot",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
),
box( title = tags$b("Boxplots"),solidHeader = TRUE,collapsible = TRUE, status = "primary",width = 8 , plotOutput("plotA", height = 500))
),
tabPanel("Boxplotly",
box( title = tags$b("Inputs"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
uiOutput("variab"),
uiOutput("Vfactor")),
box( title = tags$b("Boxplotly"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", plotlyOutput("plotB", height = 500))
),
tabPanel("Line Chart",
box(title=tags$b("Inputs"),status="primary",solidHeader=TRUE,collapsible=TRUE,
uiOutput("vlines"),
uiOutput("flines"),
tags$hr(),width=4),
box(title=tags$b("Lines"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotD",height = 500)
)),
tabPanel("Bubble Chart",
box(title=tags$b("Inputs"),status="info",solidHeader=TRUE,collapsible=TRUE,
uiOutput("vbubble"),
uiOutput("vbubble1"),
uiOutput("f"),
uiOutput("f2"),
uiOutput("f1"),
width=3),
box(title=tags$b("Bubbles"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotE")
)),
tabPanel("Motion Chart",
box(title=tags$b("Motion"),width=10,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotF",height = 500))
)
))
),
tabPanel(h4(tags$b("Anova of factors effect")),width=12,
box( title = tags$b("Anova"),solidHeader = TRUE,collapsible = TRUE, status = "primary", width = 6,height = 550,
uiOutput("dependant"),
uiOutput("independants"),
tags$hr(),
verbatimTextOutput("anov"),
br(),
actionButton("tabBut", tags$b("Download Table"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modalExample", tags$b("ANOVA Table"), "tabBut", size = "large",
dataTableOutput("anov.d"),downloadButton("downloadtable", "Download Table",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))
),
box( title = tags$b("Tukey HSD"),solidHeader = TRUE,collapsible = TRUE, status = "primary", width = 6,height = 550,
plotOutput("tukeyplot"),
actionButton("tabBut1", tags$b("View Results"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
downloadButton(
outputId = "downloadtuk",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")),
bsModal("modalExample1", tags$b("Tukey result"), "tabBut1", size = "large",
div(style = '
height: 400px;
overflow-y: scroll;', verbatimTextOutput("tukey"))) )
),
tabPanel(h4(tags$b("PCA on Sensory Data")),width=12,
fluidPage(
tabBox(width=12,
id = "pcasenso",
tabPanel(h4("Screeplot"),
box(title = tags$b("Screeplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
plotOutput("scree", height = 380),
downloadButton(
outputId = "downloadPlot2",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
box(title = tags$b("Eigen Values"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
tableOutput("stable"),downloadButton("downloadstab", "Download Table",class = "butt"))),
tabPanel(h4("Correlation circle"),
box(title = tags$b("Correlation circle"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("cercle", height = 380),
downloadButton(
outputId = "downloadPlot1",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)),
tabPanel(h4("Graph of individuals"),
box(title = tags$b("Graph of individuals"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("ind", height = 380),
downloadButton(
outputId = "downloadPlot3",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Biplot"),
box(title = tags$b("Biplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("bi", height = 380),
downloadButton(
outputId = "downloadPlot4",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))))
))
)
))
),
tabItem(tabName = "statdesc1",
fluidPage(
tabBox(width=12,
tabPanel(h4(tags$b("PCA on Consumer Data")),width=12,
fluidPage(
tabBox(width=12,
id = "pcacons",
tabPanel(h4("Screeplot"),
box(title = tags$b("Screeplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
plotOutput("screec", height = 380),
downloadButton(
outputId = "downloadPlot6",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
box(title = tags$b("Eigen Values"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
tableOutput("stablec"),downloadButton("downloadstab1", "Download Table",class = "butt"))),
tabPanel(h4("Correlation circle"),
box(title = tags$b("Correlation circle"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("cerclec", height = 380),
downloadButton(
outputId = "downloadPlot5",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Graph of individuals"),
box(title = tags$b("Graph of individuals"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("indc", height = 380),
downloadButton(
outputId = "downloadPlot7",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Biplot"),
box(title = tags$b("Biplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("bic", height = 380),
downloadButton(
outputId = "downloadPlot8",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))))
))
),
tabPanel(h4(tags$b("Classification")),width=12,
box(title = tags$b("Dendrogram"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,height = 550,
plotOutput("dend"),
actionButton("tabBut2", tags$b("View Tree"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modal", tags$b("Tree"), "tabBut2", size = "large",
plotOutput("dend1"),downloadButton("downloaddend", "Download plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
actionButton("tabBut3", tags$b("Results"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modal1", tags$b("Class"), "tabBut3", size = "large",
div(style = '
height: 400px;
overflow-y: scroll;', verbatimTextOutput("dend12")))
),
box(title = tags$b("Clusters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,height = 550,
plotOutput("clus"), downloadButton("downloadclus", "Download plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))
)
))
),
tabItem(tabName = "intermap",
box(title = tags$b("Internal preference mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=12,
uiOutput("interval"),
actionButton("actioncarto", tags$b("Run Analysis"),
icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("cart"), downloadButton(
outputId = "downloadPlotinternal",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)
),
tabItem(tabName = "epm",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 610,background = "navy",
uiOutput("Dimension_var"),uiOutput("Prediction_var"),uiOutput("mod1"),uiOutput("formula_lm1"),
uiOutput("par_var"),tags$hr(),uiOutput("interval2"),actionButton("actioncarto13", tags$b("Run Analysis"),
icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 610,
fluidRow( tabBox(width=12,
tabPanel(h4("External mapping"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("epmplot"),downloadButton(
outputId = "downloadPlotexternal",
label = "Download Plot",class = "butt")
)
),
tabPanel(h4("Prediction Surface"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("epmplot2"),downloadButton(
outputId = "downloadPlotpredsurf",
label = "Download Plot",class = "butt")
)
),
tabPanel(h4("External mapping 3D"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotlyOutput("epmplot3")
)
)
)))
),
tabItem(tabName = "resmod",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 600,background = "navy",
uiOutput("Dimension_var1"),br(),uiOutput("Prediction_var1"),br(),
uiOutput("aic"),br(),actionButton("actioncarto14", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 600,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("model_selection"),
downloadButton(
outputId = "downloadPlot_aic",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)),
tabItem(tabName = "epmsmooth",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 610,background = "navy",
uiOutput("Dimension_var3"),uiOutput("Prediction_var3"),uiOutput("mod2"),uiOutput("formula_lm2"),
uiOutput("par_var3"),tags$hr(),uiOutput("interval3"),actionButton("actioncarto15", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4"
)),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 610,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("smooth"),plotOutput("smooth_lo"),
downloadButton(
outputId = "downloadPlotsmooth",
label = "Download Plot",class = "butt")
)
)
),
tabItem(tabName = "compmap",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 600,background = "navy",
uiOutput("reduction"),uiOutput("Prediction_com"),uiOutput("formula_lm"),uiOutput("formula_gam"),
uiOutput("numm"),br(),actionButton("actioncarto16", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 600,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("comparaison"),
downloadButton(
outputId = "downloadPlot_comp",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)
)
))
))
)
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SensMap documentation built on July 5, 2022, 1:09 a.m.
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library(shiny)
library(DT)
library(shinydashboard);
library(googleVis);
require(pastecs);
library(plotly)
library(shinyBS)
library(shinyjs)
library(FactoMineR)
library(factoextra)
library(MASS)
library(fields)
library(plotly)
library(mgcv)
library(MCMCpack)
library(glmulti)
library(plyr)
library(lattice)
library(ggplot2)
library(reshape2)
library(shiny)
library(googleVis)
library(multcomp)
library(sjPlot)
library(scales)
library(doBy)
library(gridExtra)
library(agricolae)
library(devtools)
library(magrittr)
library(ggbiplot)
library(ggdendro)
library(dendextend)
library(grid)
#devtools::install_github("vqv/ggbiplot")
#install.packages("ggdendro")
#install.packages("pastecs")
library(pastecs)
shinyUI(bootstrapPage(
dashboardPage(
skin = "purple",
dashboardHeader(title = "SensMapGUI: Easy web-tool for consumer and sensory data mapping",
titleWidth = 800),
dashboardSidebar(width = 300,
sidebarMenu(
sidebarSearchForm(textId = "searchText", buttonId = "searchButton",
label = "Search..."),
menuItem("Upload Data", icon = icon("upload"), tabName = "sensorydata"),
menuItem("Sensory Data Analysis", tabName = "statdesc", icon = icon("file-text-o")),
menuItem("Consumer Data Analysis", tabName = "statdesc1", icon = icon("file-o")),
menuItem("Internal Preference Mapping",icon = icon("object-group"), tabName = "intermap"),
menuItem("External Preference Mapping",icon = icon("random"), tabName = "epm"),
menuItem("Consumer preference prediction",icon = icon("commenting"), tabName = "resmod"),
menuItem("Smoothing of External Preference Mapping",icon = icon("map-signs"), tabName = "epmsmooth"),
menuItem("Stability of External Preference Mapping", tabName = "compmap", icon = icon("cubes"))
)
),
dashboardBody(
shinyjs::useShinyjs(),
tags$script(HTML("$('body').addClass('skin-blue sidebar-mini');")),
tags$head(tags$style(HTML('
.main-header .logo {
font-family: "Georgia", Times, "Times New Roman", serif;
font-weight: bold;
font-size: 20px;
}
'))),
tabItems(
tabItem(tabName = "sensorydata",
fluidPage(tabBox(width=12,
tabPanel(h4(tags$b("Data")),
fluidPage(
tabBox(width=12,
id = "sensorydatatab",
tabPanel(h4("Sensory Data"),
fileInput('rawInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
column(3,uiOutput("assessor")),
column(3,uiOutput("replication")),
column(3,uiOutput("product")),
checkboxInput('headerUI','Header',TRUE),
radioButtons('sepUI','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('decUI','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quoteUI','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote') ),
tabPanel(h4("Consumer Data"),
fileInput('consInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
uiOutput("labelconsUI"),
checkboxInput('headUI','Header',TRUE),
radioButtons('sepaUI','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('deccUI','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quotUI','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote')),
tabPanel(h4("Physico-Chemical Data"),
fileInput('physicalInputFile','Upload Data File',accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
uiOutput("labelphyUI"),
checkboxInput('headUI_phy','Header',TRUE),
radioButtons('sepaUI_phy','Seperator',c(Comma=',',Semicolon=';',Tab='\t'),'Semicolon'),
radioButtons('decUI_phy','decimal',c(Comma=',',point='.'),'point'),
radioButtons('quotUI_phy','Quote',c(None='','Double Quote'='"','Single Quote'="'"),'Double Quote'))
))
),
tabPanel(h4(tags$b("View Data")),
fluidPage(
tabBox(width=12,
id = "phydata",
tabPanel(h4("Sensory Data"), div(style = 'overflow-x: scroll', dataTableOutput('pre.data'))),
tabPanel(h4("Consumer Data"), div(style = 'overflow-x: scroll', dataTableOutput('cons.data'))),
tabPanel(h4("Physico-Chemical Data"), div(style = 'overflow-x: scroll', dataTableOutput('phy.data')))))
),
tabPanel(h4(tags$b("Summary Tables")),
fluidPage(
tabBox(width=12,
id = "statdesc",
tabPanel(h4("Average table by product"),div(style = 'overflow-x: scroll',dataTableOutput('av')),
downloadButton("downloadav", "Download Table",class = "butt")),
tabPanel(h4("Average table by product and assessor"),div(style = 'overflow-x: scroll',dataTableOutput('av.table2')),
downloadButton("downloadavt", "Download Table",class = "butt"))
)
))
))
),
tabItem(tabName = "statdesc",
fluidPage(
tabBox(width=12,
tabPanel(h4(tags$b("Descriptive Analysis")),width=12,
fluidRow(
tabBox(width=12,
id = "char",
tabPanel("Boxplot",
box( title = tags$b("Inputs"), status = "primary",solidHeader = TRUE,collapsible = TRUE,
uiOutput("gdesc"),
uiOutput("gfactor"),
htmlOutput("jitter"),
tags$hr(),
width = 4,
# uiOutput("down"),
selectInput(
inputId = "downloadPlotType",
label = "Select download file type:",
choices = list("PDF" = "pdf","BMP" = "bmp","JPEG" = "jpeg","PNG" = "png")),
# Allow the user to set the height and width of the plot download.
# h5(HTML("Set download image dimensions(units are inches for PDF, pixels for all other formats)")),
numericInput(
inputId = "downloadPlotHeight",label = "Height (inches)",value = 7,min = 1,max = 100),
numericInput(
inputId = "downloadPlotWidth",label = "Width (inches)",value = 10,min = 1,max = 100),
#Choose download filename.
textInput(
inputId = "downloadPlotFileName",
label = "Enter file name for download"),
downloadButton(
outputId = "downloadPlot",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
),
box( title = tags$b("Boxplots"),solidHeader = TRUE,collapsible = TRUE, status = "primary",width = 8 , plotOutput("plotA", height = 500))
),
tabPanel("Boxplotly",
box( title = tags$b("Inputs"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
uiOutput("variab"),
uiOutput("Vfactor")),
box( title = tags$b("Boxplotly"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", plotlyOutput("plotB", height = 500))
),
tabPanel("Line Chart",
box(title=tags$b("Inputs"),status="primary",solidHeader=TRUE,collapsible=TRUE,
uiOutput("vlines"),
uiOutput("flines"),
tags$hr(),width=4),
box(title=tags$b("Lines"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotD",height = 500)
)),
tabPanel("Bubble Chart",
box(title=tags$b("Inputs"),status="info",solidHeader=TRUE,collapsible=TRUE,
uiOutput("vbubble"),
uiOutput("vbubble1"),
uiOutput("f"),
uiOutput("f2"),
uiOutput("f1"),
width=3),
box(title=tags$b("Bubbles"),width=8,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotE")
)),
tabPanel("Motion Chart",
box(title=tags$b("Motion"),width=10,solidHeader = TRUE,collapsible = TRUE, status = "primary", htmlOutput("plotF",height = 500))
)
))
),
tabPanel(h4(tags$b("Anova of factors effect")),width=12,
box( title = tags$b("Anova"),solidHeader = TRUE,collapsible = TRUE, status = "primary", width = 6,height = 550,
uiOutput("dependant"),
uiOutput("independants"),
tags$hr(),
verbatimTextOutput("anov"),
br(),
actionButton("tabBut", tags$b("Download Table"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modalExample", tags$b("ANOVA Table"), "tabBut", size = "large",
dataTableOutput("anov.d"),downloadButton("downloadtable", "Download Table",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))
),
box( title = tags$b("Tukey HSD"),solidHeader = TRUE,collapsible = TRUE, status = "primary", width = 6,height = 550,
plotOutput("tukeyplot"),
actionButton("tabBut1", tags$b("View Results"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
downloadButton(
outputId = "downloadtuk",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")),
bsModal("modalExample1", tags$b("Tukey result"), "tabBut1", size = "large",
div(style = '
height: 400px;
overflow-y: scroll;', verbatimTextOutput("tukey"))) )
),
tabPanel(h4(tags$b("PCA on Sensory Data")),width=12,
fluidPage(
tabBox(width=12,
id = "pcasenso",
tabPanel(h4("Screeplot"),
box(title = tags$b("Screeplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
plotOutput("scree", height = 380),
downloadButton(
outputId = "downloadPlot2",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
box(title = tags$b("Eigen Values"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
tableOutput("stable"),downloadButton("downloadstab", "Download Table",class = "butt"))),
tabPanel(h4("Correlation circle"),
box(title = tags$b("Correlation circle"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("cercle", height = 380),
downloadButton(
outputId = "downloadPlot1",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)),
tabPanel(h4("Graph of individuals"),
box(title = tags$b("Graph of individuals"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("ind", height = 380),
downloadButton(
outputId = "downloadPlot3",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Biplot"),
box(title = tags$b("Biplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("bi", height = 380),
downloadButton(
outputId = "downloadPlot4",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))))
))
)
))
),
tabItem(tabName = "statdesc1",
fluidPage(
tabBox(width=12,
tabPanel(h4(tags$b("PCA on Consumer Data")),width=12,
fluidPage(
tabBox(width=12,
id = "pcacons",
tabPanel(h4("Screeplot"),
box(title = tags$b("Screeplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
plotOutput("screec", height = 380),
downloadButton(
outputId = "downloadPlot6",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
box(title = tags$b("Eigen Values"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,
tableOutput("stablec"),downloadButton("downloadstab1", "Download Table",class = "butt"))),
tabPanel(h4("Correlation circle"),
box(title = tags$b("Correlation circle"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("cerclec", height = 380),
downloadButton(
outputId = "downloadPlot5",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Graph of individuals"),
box(title = tags$b("Graph of individuals"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("indc", height = 380),
downloadButton(
outputId = "downloadPlot7",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))),
tabPanel(h4("Biplot"),
box(title = tags$b("Biplot"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=10,
plotOutput("bic", height = 380),
downloadButton(
outputId = "downloadPlot8",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))))
))
),
tabPanel(h4(tags$b("Classification")),width=12,
box(title = tags$b("Dendrogram"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,height = 550,
plotOutput("dend"),
actionButton("tabBut2", tags$b("View Tree"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modal", tags$b("Tree"), "tabBut2", size = "large",
plotOutput("dend1"),downloadButton("downloaddend", "Download plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))),
actionButton("tabBut3", tags$b("Results"), icon("cog"),
style="color: #fff; background-color: darkcyan; border-color: #2e6da4"),
bsModal("modal1", tags$b("Class"), "tabBut3", size = "large",
div(style = '
height: 400px;
overflow-y: scroll;', verbatimTextOutput("dend12")))
),
box(title = tags$b("Clusters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=6,height = 550,
plotOutput("clus"), downloadButton("downloadclus", "Download plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}")))
)
))
),
tabItem(tabName = "intermap",
box(title = tags$b("Internal preference mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=12,
uiOutput("interval"),
actionButton("actioncarto", tags$b("Run Analysis"),
icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("cart"), downloadButton(
outputId = "downloadPlotinternal",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)
),
tabItem(tabName = "epm",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 610,background = "navy",
uiOutput("Dimension_var"),uiOutput("Prediction_var"),uiOutput("mod1"),uiOutput("formula_lm1"),
uiOutput("par_var"),tags$hr(),uiOutput("interval2"),actionButton("actioncarto13", tags$b("Run Analysis"),
icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 610,
fluidRow( tabBox(width=12,
tabPanel(h4("External mapping"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("epmplot"),downloadButton(
outputId = "downloadPlotexternal",
label = "Download Plot",class = "butt")
)
),
tabPanel(h4("Prediction Surface"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("epmplot2"),downloadButton(
outputId = "downloadPlotpredsurf",
label = "Download Plot",class = "butt")
)
),
tabPanel(h4("External mapping 3D"),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotlyOutput("epmplot3")
)
)
)))
),
tabItem(tabName = "resmod",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 600,background = "navy",
uiOutput("Dimension_var1"),br(),uiOutput("Prediction_var1"),br(),
uiOutput("aic"),br(),actionButton("actioncarto14", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 600,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("model_selection"),
downloadButton(
outputId = "downloadPlot_aic",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)),
tabItem(tabName = "epmsmooth",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 610,background = "navy",
uiOutput("Dimension_var3"),uiOutput("Prediction_var3"),uiOutput("mod2"),uiOutput("formula_lm2"),
uiOutput("par_var3"),tags$hr(),uiOutput("interval3"),actionButton("actioncarto15", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4"
)),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 610,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("smooth"),plotOutput("smooth_lo"),
downloadButton(
outputId = "downloadPlotsmooth",
label = "Download Plot",class = "butt")
)
)
),
tabItem(tabName = "compmap",
box(title = tags$b("Parameters"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=4,
height = 600,background = "navy",
uiOutput("reduction"),uiOutput("Prediction_com"),uiOutput("formula_lm"),uiOutput("formula_gam"),
uiOutput("numm"),br(),actionButton("actioncarto16", tags$b("Run Rnalysis"),icon("gears"),
style="color: #fff; background-color: steelblue; border-color: #2e6da4")),
box(title = tags$b("Mapping"), status = "primary",solidHeader = TRUE,collapsible = TRUE,width=8,height = 600,
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
h4("working..."),
h2(HTML('<i class="fa fa-cog fa-spin fa-2x"></i>'))
)
, conditionalPanel(condition="!$('html').hasClass('shiny-busy')",
plotOutput("comparaison"),
downloadButton(
outputId = "downloadPlot_comp",
label = "Download Plot",class = "butt"),
tags$head(tags$style(".butt{background-color:#add8e6;} .butt{color: #337ab7;}"))
)
)
)
))
))
)
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