ui.R
In amirms/ITMViz: ITMVIZ
# This is the user-interface definition of a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://www.rstudio.com/shiny/
#
library(ITM)
library(shiny)
library(googleCharts)
library(shinysky)
hasConflicts = FALSE
K = 15
# alpha = 50 / K
alpha = 0.5
beta = .1
eta = 10000
vocab=list()
labels = list()
prname= "jedit-5.1.0"
min.tfidf = 25
numsamp =50
randseed = 821945
#Get all the constraints
# mlinks <- unlist(lapply( constraints$mlinks, function(l) paste(l,collapse=" ") ))
# clinks <- unlist(lapply( constraints$clinks, function(l) paste(l,collapse=" ") ))
# ilinks <- unlist(lapply( constraints$ilinks, function(l) paste(l,collapse=" ") ))
mlinks <- c()
clinks <- c()
ilinks <- c()
# headerTag <- "No project is selected! Please open an existing project from the toolbar."
# if (!is.null(mystate))
headerTag <- paste("The selected project is:", prname, sep= " ")
#Constraint Conflicts
hasConflicts = FALSE
ui = shinyUI( navbarPage("ITMViz", id="itmviz", header=headerTag,
tabPanel("Existing Projects",
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/styles.css'),
# progressInit(),
fluidPage(
# fluidRow(
# column(6,
verticalLayout(
inputPanel(
numericInput('tc', 'Topic Count', K, min = 1),
numericInput('alpha', 'Alpha', alpha, min = 0),
numericInput('beta', 'Beta', beta, min = 0),
numericInput('eta', 'Eta', eta, min = 1)
)
),
# column(6,
verticalLayout(
inputPanel(
numericInput('burnin', 'Number of Burn-ins', 0, min = 0),
numericInput('ns', 'Number of Samples', numsamp, min = 1),
numericInput('sinterval', 'Sample Interval', 1, min = 1)
)
),
fluidRow(
actionButton("fitLDA","Compute LDA")
)
)
),
tabPanel("Topic Visualization",
tags$head(
tags$script(src = "assets/d3.v3.js"),
tags$script(src ="assets/topicz.js"),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/styles.css'),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/topicz.css')
),
busyIndicator(wait = 1000),
# absolutePanel(fixed = TRUE, draggable = TRUE,
# top = 60, left = "auto", right = 20, bottom = "auto",
# width = 330, height = "auto",
inputPanel(
# selectInput("itm.distance", "Topical Distance Calculation", choices = c("Jensen-Shannon" = "JS",
# "Symmetric Kullback-Leibler" = "KL")),
selectInput("itm.scaling", "Multidimensional Scaling Method", choices = c("Classical (PCA)" = "PCA",
"Kruskal's Non-Metric" = "kruskal",
"Sammon's Non-Linear Mapping" = "sammon")),
sliderInput("itm.kmeans", "Number of clusters", min = 1, max = 10, value = 1, width = "125px"),
sliderInput("itm.nTerms", "Number of terms", min = 1, max = 50, value = 30, width = "125px"),
sliderInput("itm.lambda", "Value of lambda", min = 0, max = 1, value = 0.6, width = "200px")
),
#the el parameter in the js code selects the outputIds
mainPanel(HTML("<div id=\"mdsDat\" class=\"shiny-scatter-output\"><svg /></div>"))
# )
),
tabPanel("Topic Analysis", value=4,
# progressInit(),
# Application title
# headerPanel("Word Cloud"),
# sidebarLayout(
# Sidebar with a slider and selection inputs
sidebarPanel(width = 3,
selectInput("topic.select", "Choose a topic:",
choices = labels),
# actionButton("topic_update", "Change"),
hr(),
sliderInput("topic.freq.max",
"Maximum Number of Words:",
min = 1, max = 300, value = 50),
hr(),
checkboxInput("setLabel", "Set Label", value = FALSE),
conditionalPanel(
condition = "input.setLabel == true",
wellPanel(
textInput("topic.label", "Label:", ""),
actionButton("topic.updateLabel", "Update")
)
)
),
# Show Word Cloud
mainPanel(
plotOutput("topic.count.plot")
# htmlOutput("topicDistPlot")
)
# )
),
tabPanel("Constraints",
# fluidPage(
inputPanel(
# fluidRow(
# column(
# select2Input("selectWords","Input Words", choices= vocab,
# type="select",multiple=TRUE),
# ),
selectInput("selectWords", "Input Words", choices= vocab, multiple=TRUE),
# column(
radioButtons("constr.type", label = "Type of Constraint",
choices = list("Must Link" = 1, "Cannot Link" = 2),
selected = 1),
# ),
# column(
actionButton("addConstr","Add")
# )
# )
# )
),
# verbatimTextOutput("constr.selection"),
# mainPanel(
conditionalPanel(condition="hasConflicts == true",
# h4("Conflicting Constraints"),
textInput(inputId="constrConflicts", label="Conflicting Constraints", value = "")
# verbatimTextOutput(outputId = "constrConflicts")
),
inputPanel(
select2Input("selected.mlinks","Must Link Constraints",
choices=mlinks,selected=mlinks,
type="select",multiple=TRUE),
select2Input("selected.clinks","Cannot Link Constraints",
choices=clinks,selected=clinks,
type="select",multiple=TRUE)
# select2Input("selected.ilinks","Isolate Constraints",
# choices=ilinks,selected=ilinks,
# type="select",multiple=TRUE)
),
busyIndicator("Calculation In progress",wait = 0),
actionButton("refitLDA","Re-Compute LDA")
# )
),
tabPanel("Cluster Documents",
tags$head(
tags$script(src = "assets/d3.v3.js"),
#tags$script(type="text/javascript", src = "https://www.google.com/jsapi"),
tags$script(src="assets/d3.tip.v0.6.3.js"),
tags$script(src ="assets/docz.js"),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/docz.css')
),
busyIndicator(wait = 1000),
inputPanel(
# selectInput("cls.distance", "Topical Distance Calculation", choices = c("Jensen-Shannon" = "JS",
# "Symmetric Kullback-Leibler" = "KL")),
selectInput("cls.scaling", "Multidimensional Scaling Method", choices = c("Classical (PCA)" = "PCA",
"Kruskal's Non-Metric" = "kruskal",
"Sammon's Non-Linear Mapping" = "sammon")),
sliderInput("cls.kmeans", "Number of clusters", min = 1, max = 10, value = 1, width = "125px"),
sliderInput("cls.nTopics", "Number of topics", min = 1, max = K, value = 1, width = "125px")
),
#the el parameter in the js code selects the outputIds
mainPanel(HTML("<div id=\"clsDat\" class=\"shiny-document-output\"><svg /></div>"))
)
)
)
amirms/ITMViz documentation built on May 10, 2019, 10:27 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
# This is the user-interface definition of a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://www.rstudio.com/shiny/
#
library(ITM)
library(shiny)
library(googleCharts)
library(shinysky)
hasConflicts = FALSE
K = 15
# alpha = 50 / K
alpha = 0.5
beta = .1
eta = 10000
vocab=list()
labels = list()
prname= "jedit-5.1.0"
min.tfidf = 25
numsamp =50
randseed = 821945
#Get all the constraints
# mlinks <- unlist(lapply( constraints$mlinks, function(l) paste(l,collapse=" ") ))
# clinks <- unlist(lapply( constraints$clinks, function(l) paste(l,collapse=" ") ))
# ilinks <- unlist(lapply( constraints$ilinks, function(l) paste(l,collapse=" ") ))
mlinks <- c()
clinks <- c()
ilinks <- c()
# headerTag <- "No project is selected! Please open an existing project from the toolbar."
# if (!is.null(mystate))
headerTag <- paste("The selected project is:", prname, sep= " ")
#Constraint Conflicts
hasConflicts = FALSE
ui = shinyUI( navbarPage("ITMViz", id="itmviz", header=headerTag,
tabPanel("Existing Projects",
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/styles.css'),
# progressInit(),
fluidPage(
# fluidRow(
# column(6,
verticalLayout(
inputPanel(
numericInput('tc', 'Topic Count', K, min = 1),
numericInput('alpha', 'Alpha', alpha, min = 0),
numericInput('beta', 'Beta', beta, min = 0),
numericInput('eta', 'Eta', eta, min = 1)
)
),
# column(6,
verticalLayout(
inputPanel(
numericInput('burnin', 'Number of Burn-ins', 0, min = 0),
numericInput('ns', 'Number of Samples', numsamp, min = 1),
numericInput('sinterval', 'Sample Interval', 1, min = 1)
)
),
fluidRow(
actionButton("fitLDA","Compute LDA")
)
)
),
tabPanel("Topic Visualization",
tags$head(
tags$script(src = "assets/d3.v3.js"),
tags$script(src ="assets/topicz.js"),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/styles.css'),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/topicz.css')
),
busyIndicator(wait = 1000),
# absolutePanel(fixed = TRUE, draggable = TRUE,
# top = 60, left = "auto", right = 20, bottom = "auto",
# width = 330, height = "auto",
inputPanel(
# selectInput("itm.distance", "Topical Distance Calculation", choices = c("Jensen-Shannon" = "JS",
# "Symmetric Kullback-Leibler" = "KL")),
selectInput("itm.scaling", "Multidimensional Scaling Method", choices = c("Classical (PCA)" = "PCA",
"Kruskal's Non-Metric" = "kruskal",
"Sammon's Non-Linear Mapping" = "sammon")),
sliderInput("itm.kmeans", "Number of clusters", min = 1, max = 10, value = 1, width = "125px"),
sliderInput("itm.nTerms", "Number of terms", min = 1, max = 50, value = 30, width = "125px"),
sliderInput("itm.lambda", "Value of lambda", min = 0, max = 1, value = 0.6, width = "200px")
),
#the el parameter in the js code selects the outputIds
mainPanel(HTML("<div id=\"mdsDat\" class=\"shiny-scatter-output\"><svg /></div>"))
# )
),
tabPanel("Topic Analysis", value=4,
# progressInit(),
# Application title
# headerPanel("Word Cloud"),
# sidebarLayout(
# Sidebar with a slider and selection inputs
sidebarPanel(width = 3,
selectInput("topic.select", "Choose a topic:",
choices = labels),
# actionButton("topic_update", "Change"),
hr(),
sliderInput("topic.freq.max",
"Maximum Number of Words:",
min = 1, max = 300, value = 50),
hr(),
checkboxInput("setLabel", "Set Label", value = FALSE),
conditionalPanel(
condition = "input.setLabel == true",
wellPanel(
textInput("topic.label", "Label:", ""),
actionButton("topic.updateLabel", "Update")
)
)
),
# Show Word Cloud
mainPanel(
plotOutput("topic.count.plot")
# htmlOutput("topicDistPlot")
)
# )
),
tabPanel("Constraints",
# fluidPage(
inputPanel(
# fluidRow(
# column(
# select2Input("selectWords","Input Words", choices= vocab,
# type="select",multiple=TRUE),
# ),
selectInput("selectWords", "Input Words", choices= vocab, multiple=TRUE),
# column(
radioButtons("constr.type", label = "Type of Constraint",
choices = list("Must Link" = 1, "Cannot Link" = 2),
selected = 1),
# ),
# column(
actionButton("addConstr","Add")
# )
# )
# )
),
# verbatimTextOutput("constr.selection"),
# mainPanel(
conditionalPanel(condition="hasConflicts == true",
# h4("Conflicting Constraints"),
textInput(inputId="constrConflicts", label="Conflicting Constraints", value = "")
# verbatimTextOutput(outputId = "constrConflicts")
),
inputPanel(
select2Input("selected.mlinks","Must Link Constraints",
choices=mlinks,selected=mlinks,
type="select",multiple=TRUE),
select2Input("selected.clinks","Cannot Link Constraints",
choices=clinks,selected=clinks,
type="select",multiple=TRUE)
# select2Input("selected.ilinks","Isolate Constraints",
# choices=ilinks,selected=ilinks,
# type="select",multiple=TRUE)
),
busyIndicator("Calculation In progress",wait = 0),
actionButton("refitLDA","Re-Compute LDA")
# )
),
tabPanel("Cluster Documents",
tags$head(
tags$script(src = "assets/d3.v3.js"),
#tags$script(type="text/javascript", src = "https://www.google.com/jsapi"),
tags$script(src="assets/d3.tip.v0.6.3.js"),
tags$script(src ="assets/docz.js"),
tags$link(rel = 'stylesheet', type = 'text/css', href = 'assets/docz.css')
),
busyIndicator(wait = 1000),
inputPanel(
# selectInput("cls.distance", "Topical Distance Calculation", choices = c("Jensen-Shannon" = "JS",
# "Symmetric Kullback-Leibler" = "KL")),
selectInput("cls.scaling", "Multidimensional Scaling Method", choices = c("Classical (PCA)" = "PCA",
"Kruskal's Non-Metric" = "kruskal",
"Sammon's Non-Linear Mapping" = "sammon")),
sliderInput("cls.kmeans", "Number of clusters", min = 1, max = 10, value = 1, width = "125px"),
sliderInput("cls.nTopics", "Number of topics", min = 1, max = K, value = 1, width = "125px")
),
#the el parameter in the js code selects the outputIds
mainPanel(HTML("<div id=\"clsDat\" class=\"shiny-document-output\"><svg /></div>"))
)
)
)
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.