inst/shinyApp/ui.R
In JiajinChen/shinyBN: A web application for interactively construct, visualization and inference with Bayesian Network
shinyUI(
dashboardPagePlus(
header = dashboardHeaderPlus(
fixed = TRUE,
enable_rightsidebar = TRUE,
rightSidebarIcon = "bars",
titleWidth = 200,
title = tagList(
span(class = "logo-lg", img(src = "Logo.png",height=40,width=60)),
img(src = "Logo1.png",height=30,width=30))
),
sidebar = dashboardSidebar(
width=200,
sidebarMenu(
menuItem(
text = "Introduction",
tabName = "introduction",
icon = icon("home",lib="glyphicon")
),
menuItem(
text = "Network input",
tabName = "input",
icon = icon("folder-open")
),
menuItem(
text = "Render Graph",
tabName = "render",
icon = icon("project-diagram")
),
menuItem(
text = "Inference",
tabName = "inference",
icon = icon("stats",lib="glyphicon")
),
br(),
br(),
menuItem(
text = "Help & Source code",
href = "https://github.com/JiajinChen/shinyBN",
icon = icon("question-circle")
)
)
),
rightsidebar = rightSidebar(
background = "light",
width = 355,
rightSidebarTabContent(
id = 1,
title = "Nodes:",
icon = "circle",
active = T,
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' | input.inType == 'R Object(.Rdata)' | (input.inType == 'R Object in R' & input.inFit != 'Stroke_bnfit')",
h4("Initial parameters for all nodes:"),
column(width=12,
column(width=6,radioButtons("IN_color_type","Nodes Color:",c("Self-defined","SCI-Style","Pic-Style"))),
conditionalPanel(
condition = "input.IN_color_type == 'Self-defined'",
column(width=6,selectInput("IN_color","Nodes Color:",c("lightblue","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.IN_color == 'Other'",
column(width=6,textInput("IN_Other_color","Input Node Color:",""))
)),
conditionalPanel(
condition = "input.IN_color_type == 'SCI-Style'",
column(width=5,selectInput("SCI_Name","Style:",list(`Journal` = c("NPG","Lancet","JAMA","NEJM","JCO","AAAS"),
`Technology` = c("Google","Twitter","Facebook","Airbnb","Etsy","23andme"),
`Other` = c("D3","LocusZoom","Futurama","UCSCGB","Tron Legacy","Star Trek"))))
),
conditionalPanel(
condition = "input.IN_color_type == 'Pic-Style'",
column(width=5,fileInput("Pic_Name","Upload picture",accept=c('image/png',
'image/jpeg',
'image/jpg',
'image/svg')))),
conditionalPanel(
condition = "input.IN_color_type == 'SCI-Style' | input.IN_color_type == 'Pic-Style'",
column(width=6,uiOutput("Sci_Pic_UI"))
)),
column(width=12,
column(width=6,selectInput("IN_Nshape","Nodes Shape:",c("ellipse","circle","database","box"))),
column(width=6,selectInput("IN_Tcolor","Label Color:",c("black","white","red","gray"))),
column(width=12,sliderInput("IN_Tsize","Label Size:",min=5,max=25,value=16,step=1)))
),
h4("Change partial nodes:"),
column(width=12,
column(width=12,uiOutput("In_Nodetype")),
conditionalPanel(
condition = "input.N_Intype == 'Click graph'",
column(width=12,verbatimTextOutput("shiny_return"))
),
conditionalPanel(
condition = "input.N_Intype == 'Group in Excel'",
column(width=6,uiOutput("Node_Group"))
),
conditionalPanel(
condition = "input.N_Intype == 'List'",
column(width=6,uiOutput("N")),
conditionalPanel(
condition = "input.inNodes == 'Markov blanket of:'",
column(width=6,uiOutput("N_mb"))
)
),
column(width=6,selectInput("Nodes_type","Select the Type:",
c("Node Color","Node Shape","Label Color","Label Size"))),
conditionalPanel(
condition = "input.Nodes_type == 'Node Color'",
conditionalPanel(
condition = "input.inType == 'Structure in Excel'",
column(width=6,radioButtons("IN_color_type2","Nodes Color:",c("Self-defined","SCI-Style","Pic-Style"))),
conditionalPanel(
condition = "input.IN_color_type2 == 'SCI-Style'",
column(width=6,selectInput("SCI_Name2","Style:",list(`Journal` = c("NPG","Lancet","JAMA","NEJM","JCO","AAAS"),
`Technology` = c("Google","Twitter","Facebook","Airbnb","Etsy","23andme"),
`Other` = c("D3","LocusZoom","Futurama","UCSCGB","Tron Legacy","Star Trek"))))
),
conditionalPanel(
condition = "input.IN_color_type2 == 'Pic-Style'",
column(width=6,fileInput("Pic_Name2","Picture:",accept=c('image/png',
'image/jpeg',
'image/jpg',
'image/svg'))))
),
column(width=6,uiOutput("N_colorlist")),
conditionalPanel(
condition = "input.N_color == 'Other'",
column(width=6,textInput("N_Other_color","Input Node color:",""))
))),
column(width=12,
conditionalPanel(
condition = "input.Nodes_type == 'Node Shape'",
column(width=6,selectInput("N_Nshape","Node Shape:",c("ellipse","circle","database","box")))
),
conditionalPanel(
condition = "input.Nodes_type == 'Label Size'",
column(width=6,sliderInput("N_Tsize","Label Size:",min=5,max=25,value=14,step=1))
),
conditionalPanel(
condition = "input.Nodes_type == 'Label Color'",
column(width=6,selectInput("N_Tcolor","Label Color:",c("black","white","red","gray")))
)),
column(width=12,
column(width=4,actionButton("AddButtonNodes", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("DelButtonNodes", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearNodes", "Clear",icon=icon("refresh"),lib="glyphicon"))),
br(),
column(width=12,dataTableOutput("Ncolorsize_table")),
h4("Legend:"),
column(width=6,checkboxInput("N_TF","Add Node Legend?",FALSE)),
conditionalPanel(
condition = "input.N_TF == true",
column(width=12,
column(width=6,uiOutput("Nleg_color")),
column(width=6,uiOutput("Nleg_shape")),
column(width=6,textInput("NLegend_label","Label:",""))),
column(width=12,
column(width=6,actionButton("AddButtonNL", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=6,actionButton("delButtonNL", "Delete",icon=icon("trash"),lib="glyphicon"))),
column(width=12,br()),
column(width=12,
dataTableOutput("N_legend_tab")),
column(width=12,br()),
column(width=12,
column(width=6,sliderInput("NLegend_KeySize","Key Size:",min=5,max=15,value=10,step=1)),
column(width=6,selectInput("NLegend_posion","Select position:",c("right","left"))))
)
),
rightSidebarTabContent(
id = 2,
title = "Edges:",
icon = "long-arrow-alt-right",
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' | input.inType == 'R Object(.Rdata)' | (input.inType == 'R Object in R' & input.inFit != 'Stroke_bnfit')",
h4("Initial parameters for all edges:"),
column(width=12,
column(width=6,selectInput("IE_color","Edges Color:",c("gray","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.IE_color == 'Other'",
column(width=6,textInput("IE_Other_color","Input Edges color:",""))
),
column(width=6,selectInput("IE_type","Edges Type:",c("solid","dashed"))),
column(width=6,radioButtons("IE_size_type","Edges Width:",c("Self-defined","Arc Strength"))),
conditionalPanel(
condition = "input.IE_size_type == 'Self-defined'",
column(width=6,sliderInput("IE_size","Edges Width:",min=0,max=5,step=0.2,value=1))),
conditionalPanel(
condition = "input.IE_size_type == 'Arc Strength'",
column(width=6,radioButtons("IE_Criterion","Criterion:",c("Independence Test","Score Function"))),
conditionalPanel(
condition = "input.IE_Criterion == 'Independence Test'",
column(width=12,selectInput("IE_Independence","Tests:",list(`Mutual information` = c("Asymptotic chi-square test"="mi", "Adjusted degrees of freedom"="mi-adf", "Monte Carlo permutation test"="mc-mi",
"sequential Monte Carlo permutation test"="smc-mi","Semiparametric test"="sp-mi"),
`Shrinkage estimator for the mutual information` = c("Shrinkage estimator for the mutual information"="mi-sh"),
`Pearson's X^2` = c("Asymptotic chi-square test"="x2", "Adjusted degrees of freedom"="x2-adf", "Monte Carlo permutation test"="mc-x2",
"sequential Monte Carlo permutation test"="smc-x2","Semiparametric test"="sp-x2"),
`Jonckheere-Terpstra` = c("Asymptotic normal test"="jt","Monte Carlo permutation test"="mc-jt","sequential Monte Carlo permutation test"="smc-jt"))))
)),
conditionalPanel(
condition = "input.IE_Criterion == 'Score Function'",
column(width=12,selectInput("IE_Score","Scores:",c("Bayesian Information Criterion score"="bic","Akaike Information Criterion score"="aic","Multinomial log-likelihood score"="loglik",
"Bayesian Dirichlet equivalent score"="bde","Bayesian Dirichlet sparse score"="bds","Modified Bayesian Dirichlet equivalent score"="mbde",
"Locally averaged Bayesian Dirichlet score"="bdla","K2 score"="k2")))
)
)
),
h4("Change partial edges:"),
column(width=12,
conditionalPanel(
condition = "input.inType == 'Structure in Excel'",
column(width=12,radioButtons ("E_Intype","Select nodes by:",c("Group in Excel","List"),inline = T))
),
conditionalPanel(
condition = "input.E_Intype == 'List' | input.inType != 'Structure in Excel'",
column(width=12,uiOutput("E"))
),
conditionalPanel(
condition = "input.E_Intype == 'Group in Excel'",
column(width=12,uiOutput("Edge_Group"))
),
column(width=6,uiOutput("E_Render")),
conditionalPanel(
condition = "input.Edges_type == 'Edge Color'",
column(width=6,selectInput("E_color","Edge Color:",c("gray","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.E_color == 'Other'",
column(width=6,textInput("E_Other_color","Input Edge color:",""))
)),
conditionalPanel(
condition = "input.Edges_type == 'Edge Type'",
column(width=6,selectInput("E_type","Edge Type:",c("solid","dashed")))
),
conditionalPanel(
condition = "input.Edges_type == 'Edge Width'",
column(width=6,sliderInput("E_size","Edge Width:",min=0,max=5,step=0.5,value=1))
)),
column(width=12,
column(width=4,actionButton("AddButtonEdges", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("DelButtonEdges", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearEdges", "Clear",icon=icon("refresh"),lib="glyphicon"))),
br(),
column(width=12,dataTableOutput("Ecolorsize_table")),
h4("Legend:"),
column(width=6,checkboxInput("E_TF","Add Edge Legend?",FALSE)),
conditionalPanel(
condition = "input.E_TF == true",
column(width=12,
column(width=6,uiOutput("Eleg_color")),
column(width=6,uiOutput("Eleg_dashed")),
column(width=6,textInput("ELegend_label","Label:",""))),
column(width=12,
column(width=6,actionButton("AddButtonEL", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=6,actionButton("delButtonEL", "Delete",icon=icon("trash"),lib="glyphicon"))),
column(width=12,br()),
column(width=12,
dataTableOutput("E_legend_tab")),
column(width=12,br()),
column(width=12,
column(width=6,sliderInput("ELegend_KeySize","Key Size:",min=0.5,max=5,value=1.5,step=0.5)),
conditionalPanel(
condition = "input.N_TF == false",
column(width=6,selectInput("ELegend_posion","Select position:",c("right","left")))
)))
),
rightSidebarTabContent(
id = 3,
icon = "chart-bar",
title = "Inference:",
radioButtons("Infer_type",NULL,c("Single Prediction","Validation Set"),inline=T),
conditionalPanel(
condition = "input.Infer_type == 'Single Prediction'",
radioButtons("Q_Intype","Select nodes by:",c("List","Click graph"),inline = T),
conditionalPanel(
condition = "input.Q_Intype == 'Click graph'",
verbatimTextOutput("Q_return")
),
conditionalPanel(
condition = "input.Q_Intype == 'List'",
uiOutput("evidence")
),
uiOutput("E_value"),
fluidRow(
column(width=4,actionButton("AddButtonE", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("delButtonE", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearButtonE", "Clear",icon=icon("refresh"),lib="glyphicon"))
),
column(width=12,br("")),
uiOutput("query"),
conditionalPanel(
condition = "input.Type == 'marginal'",
uiOutput("Q_value")
),
fluidRow(
column(width=4,actionButton("AddButtonQ", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("delButtonQ", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearButtonQ", "Clear",icon=icon("refresh"),lib="glyphicon"))
),
column(width=12,br("")),
radioButtons("Type","Choose the type:",c("Marginal" = "marginal","Joint" = "joint"),inline=T)
),
conditionalPanel(
condition = "input.Infer_type == 'Validation Set'",
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' & input.YNsplit == 'yes'",
radioButtons("Valid_Sample","Using:",c("Split Sample","Upload dataset"),inline=T)
),
conditionalPanel(
condition = "input.inType != 'Individual level Data(.csv)' | input.Valid_Sample == 'Upload dataset'",
fileInput("ValidSet","Upload validation Set:(csv)"),
column(width=3,checkboxInput("ValidHeader","Header?",TRUE)),
column(width=9,radioButtons("ValidSep","Separator:",c("Comma"=",","Tabs"="\t","Spaces"=" "),inline = T)),
helpText("WARNING: The variable should have the same names and values with Network.")
),
uiOutput("ValidVarUI"), #input$ValidVar
uiOutput("ValidValueUI"), #input$ValidValue
sliderInput("Case_Prob","Threshold of Probability to ",0,1,0.5,step=0.01),
radioButtons("ROCorDCA","Plot ROC or DCA:",c("ROC","DCA"),inline = T)
)
)
),
body = dashboardBody(
tabItems(
introduction_page,
input_page,
render_page,
inference_page
)
)
)
)
JiajinChen/shinyBN documentation built on Sept. 6, 2022, 2:47 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
shinyUI(
dashboardPagePlus(
header = dashboardHeaderPlus(
fixed = TRUE,
enable_rightsidebar = TRUE,
rightSidebarIcon = "bars",
titleWidth = 200,
title = tagList(
span(class = "logo-lg", img(src = "Logo.png",height=40,width=60)),
img(src = "Logo1.png",height=30,width=30))
),
sidebar = dashboardSidebar(
width=200,
sidebarMenu(
menuItem(
text = "Introduction",
tabName = "introduction",
icon = icon("home",lib="glyphicon")
),
menuItem(
text = "Network input",
tabName = "input",
icon = icon("folder-open")
),
menuItem(
text = "Render Graph",
tabName = "render",
icon = icon("project-diagram")
),
menuItem(
text = "Inference",
tabName = "inference",
icon = icon("stats",lib="glyphicon")
),
br(),
br(),
menuItem(
text = "Help & Source code",
href = "https://github.com/JiajinChen/shinyBN",
icon = icon("question-circle")
)
)
),
rightsidebar = rightSidebar(
background = "light",
width = 355,
rightSidebarTabContent(
id = 1,
title = "Nodes:",
icon = "circle",
active = T,
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' | input.inType == 'R Object(.Rdata)' | (input.inType == 'R Object in R' & input.inFit != 'Stroke_bnfit')",
h4("Initial parameters for all nodes:"),
column(width=12,
column(width=6,radioButtons("IN_color_type","Nodes Color:",c("Self-defined","SCI-Style","Pic-Style"))),
conditionalPanel(
condition = "input.IN_color_type == 'Self-defined'",
column(width=6,selectInput("IN_color","Nodes Color:",c("lightblue","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.IN_color == 'Other'",
column(width=6,textInput("IN_Other_color","Input Node Color:",""))
)),
conditionalPanel(
condition = "input.IN_color_type == 'SCI-Style'",
column(width=5,selectInput("SCI_Name","Style:",list(`Journal` = c("NPG","Lancet","JAMA","NEJM","JCO","AAAS"),
`Technology` = c("Google","Twitter","Facebook","Airbnb","Etsy","23andme"),
`Other` = c("D3","LocusZoom","Futurama","UCSCGB","Tron Legacy","Star Trek"))))
),
conditionalPanel(
condition = "input.IN_color_type == 'Pic-Style'",
column(width=5,fileInput("Pic_Name","Upload picture",accept=c('image/png',
'image/jpeg',
'image/jpg',
'image/svg')))),
conditionalPanel(
condition = "input.IN_color_type == 'SCI-Style' | input.IN_color_type == 'Pic-Style'",
column(width=6,uiOutput("Sci_Pic_UI"))
)),
column(width=12,
column(width=6,selectInput("IN_Nshape","Nodes Shape:",c("ellipse","circle","database","box"))),
column(width=6,selectInput("IN_Tcolor","Label Color:",c("black","white","red","gray"))),
column(width=12,sliderInput("IN_Tsize","Label Size:",min=5,max=25,value=16,step=1)))
),
h4("Change partial nodes:"),
column(width=12,
column(width=12,uiOutput("In_Nodetype")),
conditionalPanel(
condition = "input.N_Intype == 'Click graph'",
column(width=12,verbatimTextOutput("shiny_return"))
),
conditionalPanel(
condition = "input.N_Intype == 'Group in Excel'",
column(width=6,uiOutput("Node_Group"))
),
conditionalPanel(
condition = "input.N_Intype == 'List'",
column(width=6,uiOutput("N")),
conditionalPanel(
condition = "input.inNodes == 'Markov blanket of:'",
column(width=6,uiOutput("N_mb"))
)
),
column(width=6,selectInput("Nodes_type","Select the Type:",
c("Node Color","Node Shape","Label Color","Label Size"))),
conditionalPanel(
condition = "input.Nodes_type == 'Node Color'",
conditionalPanel(
condition = "input.inType == 'Structure in Excel'",
column(width=6,radioButtons("IN_color_type2","Nodes Color:",c("Self-defined","SCI-Style","Pic-Style"))),
conditionalPanel(
condition = "input.IN_color_type2 == 'SCI-Style'",
column(width=6,selectInput("SCI_Name2","Style:",list(`Journal` = c("NPG","Lancet","JAMA","NEJM","JCO","AAAS"),
`Technology` = c("Google","Twitter","Facebook","Airbnb","Etsy","23andme"),
`Other` = c("D3","LocusZoom","Futurama","UCSCGB","Tron Legacy","Star Trek"))))
),
conditionalPanel(
condition = "input.IN_color_type2 == 'Pic-Style'",
column(width=6,fileInput("Pic_Name2","Picture:",accept=c('image/png',
'image/jpeg',
'image/jpg',
'image/svg'))))
),
column(width=6,uiOutput("N_colorlist")),
conditionalPanel(
condition = "input.N_color == 'Other'",
column(width=6,textInput("N_Other_color","Input Node color:",""))
))),
column(width=12,
conditionalPanel(
condition = "input.Nodes_type == 'Node Shape'",
column(width=6,selectInput("N_Nshape","Node Shape:",c("ellipse","circle","database","box")))
),
conditionalPanel(
condition = "input.Nodes_type == 'Label Size'",
column(width=6,sliderInput("N_Tsize","Label Size:",min=5,max=25,value=14,step=1))
),
conditionalPanel(
condition = "input.Nodes_type == 'Label Color'",
column(width=6,selectInput("N_Tcolor","Label Color:",c("black","white","red","gray")))
)),
column(width=12,
column(width=4,actionButton("AddButtonNodes", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("DelButtonNodes", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearNodes", "Clear",icon=icon("refresh"),lib="glyphicon"))),
br(),
column(width=12,dataTableOutput("Ncolorsize_table")),
h4("Legend:"),
column(width=6,checkboxInput("N_TF","Add Node Legend?",FALSE)),
conditionalPanel(
condition = "input.N_TF == true",
column(width=12,
column(width=6,uiOutput("Nleg_color")),
column(width=6,uiOutput("Nleg_shape")),
column(width=6,textInput("NLegend_label","Label:",""))),
column(width=12,
column(width=6,actionButton("AddButtonNL", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=6,actionButton("delButtonNL", "Delete",icon=icon("trash"),lib="glyphicon"))),
column(width=12,br()),
column(width=12,
dataTableOutput("N_legend_tab")),
column(width=12,br()),
column(width=12,
column(width=6,sliderInput("NLegend_KeySize","Key Size:",min=5,max=15,value=10,step=1)),
column(width=6,selectInput("NLegend_posion","Select position:",c("right","left"))))
)
),
rightSidebarTabContent(
id = 2,
title = "Edges:",
icon = "long-arrow-alt-right",
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' | input.inType == 'R Object(.Rdata)' | (input.inType == 'R Object in R' & input.inFit != 'Stroke_bnfit')",
h4("Initial parameters for all edges:"),
column(width=12,
column(width=6,selectInput("IE_color","Edges Color:",c("gray","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.IE_color == 'Other'",
column(width=6,textInput("IE_Other_color","Input Edges color:",""))
),
column(width=6,selectInput("IE_type","Edges Type:",c("solid","dashed"))),
column(width=6,radioButtons("IE_size_type","Edges Width:",c("Self-defined","Arc Strength"))),
conditionalPanel(
condition = "input.IE_size_type == 'Self-defined'",
column(width=6,sliderInput("IE_size","Edges Width:",min=0,max=5,step=0.2,value=1))),
conditionalPanel(
condition = "input.IE_size_type == 'Arc Strength'",
column(width=6,radioButtons("IE_Criterion","Criterion:",c("Independence Test","Score Function"))),
conditionalPanel(
condition = "input.IE_Criterion == 'Independence Test'",
column(width=12,selectInput("IE_Independence","Tests:",list(`Mutual information` = c("Asymptotic chi-square test"="mi", "Adjusted degrees of freedom"="mi-adf", "Monte Carlo permutation test"="mc-mi",
"sequential Monte Carlo permutation test"="smc-mi","Semiparametric test"="sp-mi"),
`Shrinkage estimator for the mutual information` = c("Shrinkage estimator for the mutual information"="mi-sh"),
`Pearson's X^2` = c("Asymptotic chi-square test"="x2", "Adjusted degrees of freedom"="x2-adf", "Monte Carlo permutation test"="mc-x2",
"sequential Monte Carlo permutation test"="smc-x2","Semiparametric test"="sp-x2"),
`Jonckheere-Terpstra` = c("Asymptotic normal test"="jt","Monte Carlo permutation test"="mc-jt","sequential Monte Carlo permutation test"="smc-jt"))))
)),
conditionalPanel(
condition = "input.IE_Criterion == 'Score Function'",
column(width=12,selectInput("IE_Score","Scores:",c("Bayesian Information Criterion score"="bic","Akaike Information Criterion score"="aic","Multinomial log-likelihood score"="loglik",
"Bayesian Dirichlet equivalent score"="bde","Bayesian Dirichlet sparse score"="bds","Modified Bayesian Dirichlet equivalent score"="mbde",
"Locally averaged Bayesian Dirichlet score"="bdla","K2 score"="k2")))
)
)
),
h4("Change partial edges:"),
column(width=12,
conditionalPanel(
condition = "input.inType == 'Structure in Excel'",
column(width=12,radioButtons ("E_Intype","Select nodes by:",c("Group in Excel","List"),inline = T))
),
conditionalPanel(
condition = "input.E_Intype == 'List' | input.inType != 'Structure in Excel'",
column(width=12,uiOutput("E"))
),
conditionalPanel(
condition = "input.E_Intype == 'Group in Excel'",
column(width=12,uiOutput("Edge_Group"))
),
column(width=6,uiOutput("E_Render")),
conditionalPanel(
condition = "input.Edges_type == 'Edge Color'",
column(width=6,selectInput("E_color","Edge Color:",c("gray","red","orange","yellow","green","Other"))),
conditionalPanel(
condition = "input.E_color == 'Other'",
column(width=6,textInput("E_Other_color","Input Edge color:",""))
)),
conditionalPanel(
condition = "input.Edges_type == 'Edge Type'",
column(width=6,selectInput("E_type","Edge Type:",c("solid","dashed")))
),
conditionalPanel(
condition = "input.Edges_type == 'Edge Width'",
column(width=6,sliderInput("E_size","Edge Width:",min=0,max=5,step=0.5,value=1))
)),
column(width=12,
column(width=4,actionButton("AddButtonEdges", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("DelButtonEdges", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearEdges", "Clear",icon=icon("refresh"),lib="glyphicon"))),
br(),
column(width=12,dataTableOutput("Ecolorsize_table")),
h4("Legend:"),
column(width=6,checkboxInput("E_TF","Add Edge Legend?",FALSE)),
conditionalPanel(
condition = "input.E_TF == true",
column(width=12,
column(width=6,uiOutput("Eleg_color")),
column(width=6,uiOutput("Eleg_dashed")),
column(width=6,textInput("ELegend_label","Label:",""))),
column(width=12,
column(width=6,actionButton("AddButtonEL", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=6,actionButton("delButtonEL", "Delete",icon=icon("trash"),lib="glyphicon"))),
column(width=12,br()),
column(width=12,
dataTableOutput("E_legend_tab")),
column(width=12,br()),
column(width=12,
column(width=6,sliderInput("ELegend_KeySize","Key Size:",min=0.5,max=5,value=1.5,step=0.5)),
conditionalPanel(
condition = "input.N_TF == false",
column(width=6,selectInput("ELegend_posion","Select position:",c("right","left")))
)))
),
rightSidebarTabContent(
id = 3,
icon = "chart-bar",
title = "Inference:",
radioButtons("Infer_type",NULL,c("Single Prediction","Validation Set"),inline=T),
conditionalPanel(
condition = "input.Infer_type == 'Single Prediction'",
radioButtons("Q_Intype","Select nodes by:",c("List","Click graph"),inline = T),
conditionalPanel(
condition = "input.Q_Intype == 'Click graph'",
verbatimTextOutput("Q_return")
),
conditionalPanel(
condition = "input.Q_Intype == 'List'",
uiOutput("evidence")
),
uiOutput("E_value"),
fluidRow(
column(width=4,actionButton("AddButtonE", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("delButtonE", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearButtonE", "Clear",icon=icon("refresh"),lib="glyphicon"))
),
column(width=12,br("")),
uiOutput("query"),
conditionalPanel(
condition = "input.Type == 'marginal'",
uiOutput("Q_value")
),
fluidRow(
column(width=4,actionButton("AddButtonQ", "Add",icon=icon("plus"),lib="glyphicon")),
column(width=4,actionButton("delButtonQ", "Delete",icon=icon("trash"),lib="glyphicon")),
column(width=4,actionButton("ClearButtonQ", "Clear",icon=icon("refresh"),lib="glyphicon"))
),
column(width=12,br("")),
radioButtons("Type","Choose the type:",c("Marginal" = "marginal","Joint" = "joint"),inline=T)
),
conditionalPanel(
condition = "input.Infer_type == 'Validation Set'",
conditionalPanel(
condition = "input.inType == 'Individual level Data(.csv)' & input.YNsplit == 'yes'",
radioButtons("Valid_Sample","Using:",c("Split Sample","Upload dataset"),inline=T)
),
conditionalPanel(
condition = "input.inType != 'Individual level Data(.csv)' | input.Valid_Sample == 'Upload dataset'",
fileInput("ValidSet","Upload validation Set:(csv)"),
column(width=3,checkboxInput("ValidHeader","Header?",TRUE)),
column(width=9,radioButtons("ValidSep","Separator:",c("Comma"=",","Tabs"="\t","Spaces"=" "),inline = T)),
helpText("WARNING: The variable should have the same names and values with Network.")
),
uiOutput("ValidVarUI"), #input$ValidVar
uiOutput("ValidValueUI"), #input$ValidValue
sliderInput("Case_Prob","Threshold of Probability to ",0,1,0.5,step=0.01),
radioButtons("ROCorDCA","Plot ROC or DCA:",c("ROC","DCA"),inline = T)
)
)
),
body = dashboardBody(
tabItems(
introduction_page,
input_page,
render_page,
inference_page
)
)
)
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.