library(shiny)
library(shinyjs)
library(jaccard)
library(qvalue)
library(tidyverse)
source(file.path("ui", "helpPopup.R"))
shinyUI(pageWithSidebar(
headerPanel("Jaccard/Tanimoto Test for Similarity between Binary Variables"),
sidebarPanel(
fileInput('file1',
div("Upload a Dataset",
helpPopup(title=NULL, content="Browse and select a plain text file with variables as rows.", trigger="hover"),
downloadLink("sampleDataFile", "Example")
),
accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv')),
selectInput("sep", "Dataset Separator:",
choices = c(Comma=',',
Semicolon=';',
Tab='\t',
Space=' ')),
#checkboxInput('header', 'Header', TRUE),
##### HTML("π<sub>0</sub>")
wellPanel(
selectInput("method", p("Computational Method"),
choices = c("bootstrap","mca","asymptotic", "exact"),
width = "70%"),
checkboxInput('compute.qvalue', 'Compute q-values?', TRUE)
),
conditionalPanel(
condition = "input.method == 'bootstrap'",
wellPanel(
p(strong("Arguments for the Bootstrap")),
numericInput("B", "Iterations:", 1000, width = "70%"),
numericInput("seed", "Seed:", 1234, width = "70%")
)
),
conditionalPanel(
condition = "input.method == 'mca'",
wellPanel(
p(strong("Arguments for the MCA")),
selectInput("error.type", "Error type:",
choices = c("average", "upper", "lower"), width = "70%"),
numericInput("accuracy", "Error bound:", 1e-05, width = "70%")
)
),
wellPanel(
p(strong("Download Outputs")),
#sliderInput("threshold", "P-value threshold:", step = 0.01, value = 0.05, min = 0, max = 1),
downloadButton('downloadPvalues', 'P-values'),
downloadButton('downloadStatistics', 'Stats'),
downloadButton('downloadExpectation', 'Expectation')
)
),
mainPanel(
tabsetPanel(id="tabSelected",
tabPanel("About", h4("Quick Introduction"), uiOutput("about")),
tabPanel("Output", uiOutput("subTabs")),
tabPanel("Help", h4("Descriptions of Input Arguments"), uiOutput("help")))
)
))
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