Nothing
library(shiny)
library(reverseR)
library(DT)
fluidPage(
tags$head(includeScript("ga.js")),
tags$style(HTML(".shiny-input-container:not(.shiny-input-container-inline) {
width: 100%;}
pre{
background: white;
}
.shiny-notification {
height: 100px;
width: 800px;
position:fixed;
top: calc(50% - 50px);;
left: calc(50% - 400px);;
}
")),
headerPanel("Detection of Significance Reversers in Linear Regression"),
fluidRow(column(2,
## include text in readme.md
includeMarkdown("readme.md"),
## example button
includeMarkdown("Example.md"),
p("(Figure of a 2015 PNAS paper)"),
actionButton("run.example", "Example"),
br(), br(),
## file input
includeMarkdown("Import.md"),
## header selection
checkboxInput("header", "Data has a header row", TRUE),
## csv type selection
radioButtons("dec.type", "Type of decimal sign",
choices = c("dot (.)" = "dec1", "comma (,)" = "dec2"),
selected = "dec1", inline = TRUE),
radioButtons("sep.type", "Type of separator",
choices = c("comma (,)" = "sep1", "space (\\s)" = "sep2",
"tab (\\t)" = "sep3", "semicolon (;)" = "sep4"),
selected = "sep1", inline = TRUE),
## file input
fileInput("input.file", "Choose .csv file",
accept = c("text/csv", "text/comma-separated-values,text/plain", ".csv")),
## significance border and stats selection
includeMarkdown("Options.md"),
textInput("pval", "P-value significance border:", 0.05),
radioButtons("Statistic", "Statistic",
choices = c("Pearson" = "pearson", "Spearman" = "spearman"),
selected = "pearson", inline = TRUE),
## download plot, stats and Cook's D
includeMarkdown("Results.md"),
downloadButton("plot.download", "Download Plots"),
downloadButton("stat.download", "Download Stats"),
br(), br(),
includeMarkdown("Authors.md")
),
## main panel with "dynamic.tabset" output
column(10, uiOutput("dynamic.tabset")
)
)
)
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