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Copy pathvisualize.R
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218 lines (181 loc) · 6.72 KB
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# Server Output Functions for Visualize Tab
#### Main Tab Output Functions ####
# Controls for the whole set of tabs
output$Visualize_Tab_Controls_1 <- renderUI({
selectizeInput(
"VisualizeEventMapInputID",
label = h4("Choose POV:"),
get_POV_names()
)
})
output$Visualize_Tab_Controls_2 <- renderUI({
req(input$VisualizeEventMapInputID)
zoom_limit = zoom_upper_limit(get_POV(input$VisualizeEventMapInputID))
if(zoom_limit == 1) {
tags$h4("Zooming not available for this POV")
} else {
tags$div(
sliderInput(
"VisualizeTabZoomID",
label = h4("Zoom in and out by event similarity:"),
1, zoom_limit, zoom_limit, step = 1, ticks = FALSE
),
helpText('Zooming does not apply to some visualizations.'))
}
})
output$Visualize_Tab_Controls_3 = renderUI({
nThreads = numThreads(threadedEventsViz_ALL(),'threadNum')
sliderInput("VisualizeRangeID",
label=h4("Range of threads to include:"),
1, nThreads, c(1,nThreads),step = 1, ticks=FALSE)
})
#### N-Grams sub-tab ####
# controls for ngrams display
output$nGramControls <- renderUI({
tagList(
sliderInput("nGramLengthID","nGram Size", 1,10,2,step = 1,ticks = FALSE),
sliderInput("nGramDisplayThresholdID","Display threshold", 1,50,1,step = 1,ticks = FALSE),
radioButtons(
"Label_or_Zoom_3",
"Do you prefer:",
choices = c('Labels','Zooming'),
selected = 'Labels',
inline = TRUE)
)
})
# NGRAMdisplay
output$nGramBarchart <- renderPlotly({
req(input$nGramLengthID)
if (input$Label_or_Zoom_3 == 'Labels')
ng_bar_chart(
threadedEventsViz(),
"threadNum",
'label',
input$nGramLengthID,
input$nGramDisplayThresholdID)
else
ng_bar_chart(
threadedEventsViz(),
"threadNum",
get_Zoom_VIZ(),
input$nGramLengthID,
input$nGramDisplayThresholdID)
})
#### Whole Sequences sub-tab ####
# Whole sequence display -- allow alternatives
output$WholeSequenceThreadMap_Sequence <- renderPlotly({ threadMap(threadedEventsViz(), "threadNum", "seqNum", get_Zoom_VIZ(), 15)})
output$WholeSequenceThreadMap_ActualTime <- renderPlotly({ threadMap(threadedEventsViz(), "threadNum", "tStamp", get_Zoom_VIZ(), 15)})
output$WholeSequenceThreadMap_RelativeTime <- renderPlotly({ threadMap(threadedEventsViz(), "threadNum", "relativeTime", get_Zoom_VIZ(), 15)})
#### Event Network (circle) sub-tab ####
# use this to select how to color the nodes in force layout
output$Circle_Network_Tab_Controls <- renderUI({
tags$div(
sliderInput("circleEdgeTheshold","Display edges above", 0,1,0,step = 0.01,ticks = FALSE ),
radioButtons(
"Label_or_Zoom_1",
"Do you prefer:",
choices = c('Labels','Zooming'),
selected = 'Labels',
inline = TRUE)
)
})
output$circleVisNetwork <- renderVisNetwork({
req(input$circleEdgeTheshold)
# first convert the threads to the network
if (input$Label_or_Zoom_1 == 'Labels')
{ n <- threads_to_network_original(threadedEventsViz(), "threadNum", 'label') }
else
{ n <- threads_to_network_original(threadedEventsViz(), "threadNum", get_Zoom_VIZ()) }
# filter out the edges if desired
n <- filter_network_edges(n,input$circleEdgeTheshold)
circleVisNetwork(n, 'directed', TRUE)
})
#### Other Networks sub-tab ####
# use this to select how to color the nodes in force layout
output$Other_Network_Tab_Controls <- renderUI({
button_choices <- get_POV_EVENT_CF( input$VisualizeEventMapInputID )
tags$div(
radioButtons(
"OtherNetworkCF",
"Graph co-occurrence relation between:",
choices = button_choices,
selected = button_choices[1], # always start with the first one
inline = TRUE
),
sliderInput("otherEdgeTheshold","Display edges above",0,1,0,step = 0.01,ticks = FALSE)
)
})
output$otherVisNetwork <- renderVisNetwork({
req(input$otherEdgeTheshold)
# first convert the threads to the network
n <- normalNetwork(threadedEventsViz(), selectOccFilter(), input$OtherNetworkCF)
n <- filter_network_edges(n,input$otherEdgeTheshold)
circleVisNetwork(n, 'nondirected')
})
#### Event Network (force) sub-tab ####
# use this to select how to color the nodes in force layout
output$Force_Network_Tab_Controls <- renderUI({
button_choices <- intersect(colnames(threadedEventsViz()), cfnames(selectOccFilter()))
tags$div(
radioButtons(
"NetworkGroupID",
"Select a dimension for coloring nodes:",
choices = button_choices,
selected = button_choices[1], # always start with the first one
inline=TRUE
),
sliderInput("forceEdgeTheshold","Display edges above",0,1,0,step = 0.01,ticks = FALSE),
radioButtons(
"Label_or_Zoom_2",
"Do you prefer:",
choices = c('Labels','Zooming'),
selected = 'Labels',
inline = TRUE)
)
})
output$forceNetworkD3 <- renderForceNetwork({
req(input$forceEdgeTheshold)
if (input$Label_or_Zoom_2 == 'Labels')
{ n <- threads_to_network_original(threadedEventsViz(), 'threadNum', 'label', input$NetworkGroupID) }
else
{ n <- threads_to_network_original(threadedEventsViz(), 'threadNum', get_Zoom_VIZ(), input$NetworkGroupID) }
n <- filter_network_edges(n,input$forceEdgeTheshold)
forceNetworkD3(n)
})
output$networkPie <- renderPlotly({
req(input$Group)
get_group <- input$Group
CF_multi_pie_event(threadedOcc(), threadedEventsViz(), get_POV_EVENT_CF( input$VisualizeEventMapInputID ), get_group, get_Zoom_VIZ())
})
#### View Events sub-tab ####
output$VisualizeCustomNetwork_Controls_0 <- renderUI({
radioButtons("Timesplit2", "Time Measure:", choices = c('seqNum'='seqNum','timeGap'='timeGap'), selected = "seqNum", inline = TRUE)
})
output$VisualizeCustomNetwork_Controls_1 <- renderUI({
selectizeInput("Event",label = "Choose Event:",get_POV_EVENT_CF( input$VisualizeEventMapInputID ) )
})
output$VisualizeCustomNetwork <- renderPlotly({
req(input$Timesplit2, input$Event)
eventNetwork(threadedEventsViz(), "threadNum", input$Event, input$Timesplit2)
})
output$hover <- renderPrint({
d <- event_data("plotly_hover")
if (is.null(d)) "Hover events appear here (unhover to clear)" else d
})
output$click <- renderPrint({
d <- event_data("plotly_click")
if (is.null(d)) "Click events appear here" else d
})
#### Role Maps sub-tab ####
output$Role_map_controls <- renderUI({checkboxGroupInput("Role_map_CFs","Pick Two:", get_POV_EVENT_CF( input$VisualizeEventMapInputID ) )})
output$Role_map_output <- renderPlotly({role_map(threadedEventsViz(), selectOccFilter(), input$Role_map_CFs)})
#### Thread Trajectories sub-tab ####
output$ThreadTrajectoriesOutput <- renderPlotly({threadTrajectory(threadedEventsViz())})
##### pie chart display #####
output$visualizePieCharts = renderPlotly({
CF_multi_pie(threadedEventsViz(), get_POV_EVENT_CF( input$VisualizeEventMapInputID ) )
})
# provide a data table view, as well
output$visualizePOVData <-DT::renderDataTable(
threadedEventsViz(),
options = list(autoWidth = TRUE))