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ui.R
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ui.R
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library(shiny)
library(shinydashboard)
library(ggplot2)
library(ei)
library(eiPack)
library(eiCompare)
library(shinycssloaders)
dashboardPage(
dashboardHeader(title = "Ecological Inference Analysis",
titleWidth=285),
dashboardSidebar(width=285,
fileInput('file1', 'Upload CSV file', accept=c(
'text/csv',
'text/comma-separated-values,text/plain',
'.csv')
),
uiOutput('numCandidates'),
tags$hr(),
# uiOutput('dependent1'), ##testing prompts, uncomment to use defaults along with code in server.R
# uiOutput('candName1'),
# tags$hr(),
# uiOutput('dependent2'),
# uiOutput('candName2'),
# tags$hr(),
# uiOutput('dependent3'),
# uiOutput('candName3'),
uiOutput('candDataPrompts'),
uiOutput('candNamePrompts'),
uiOutput('independent'),
uiOutput('raceVar'),
tags$hr(),
uiOutput('tot.votes'),
tags$hr(),
uiOutput('source1'),
uiOutput('source2'),
uiOutput('ui.slider'),
br(),
uiOutput('ui.action')
),
dashboardBody(
fluidRow(column(width=3,
box(
width=NULL, height=NULL,
title = 'Instructions', status='primary', solidHeader=TRUE, 'Use this tool to analyze election results for racially polarized voting.',
tags$br(), tags$br(),
actionButton("pdf", 'User Guide & Walkthrough', onclick = "window.open('userGuide.pdf')"),
tags$br(), tags$br(),
'Sample data to practice with:',
tags$br(),
downloadButton("sample1", "SantaClara.csv"),
tags$br(),
downloadButton("sample2", "Waterbury.csv"),
tags$br(), tags$br(),
'1. Upload CSV file containing vote counts and demographic information for your election and region of interest. Other than total number of votes, percent of votes by group should be between 0 and 1.',
tags$br(), tags$br(),
'2. Select the relevant columns from your dataset and input category names. EI will be performed on the number of candidates selected, which does not have to be all candidates in the race.',
tags$br(), tags$br(),
'3. Adjust the slider to select homogeneous precinct threshold.',
tags$br(), '(by % of precincts in sample)',
tags$br(),tags$br(),
'4. Click "Run."',
tags$div(tags$ul(tags$li('Note that EI analysis can take several minutes depending on the size of your dataset.'))),
#tags$br(),tags$br(),
'5. Review figures & tables.'
),
box(
width=NULL, height=NULL, status='info',
#title='Resources',
tags$h6('R pkgs: ',
a('ei |', href='https://cran.r-project.org/web/packages/ei/index.html'),
a('eiPack |', href='https://cran.r-project.org/web/packages/eiPack/index.html'),
a('eiCompare |', href='https://cran.r-project.org/web/packages/eiCompare/index.html'),
a('MCMCpack', href='https://cran.r-project.org/web/packages/MCMCpack/index.html')),
#tags$br(),
uiOutput('king'),
uiOutput('groffman'),
uiOutput('blacksher'),
tags$h6(a('More...', href='https://scholar.google.com/scholar?q=ecological+inference+voting+rights&btnG=&hl=en&as_sdt=0%2C7'))
),
box(icon('globe', lib='glyphicon'), width=NULL, background='black',
'MGGG @ Tufts/MIT 2017',
br(),
'Updated 2018 by VRDI',
br(),
#icon('random', lib='glyphicon'),
tags$code('GIS-Hackathon 1.0')
)
),
column(width=9,style = "background-color:white;",
# downloadButton('template', "Expert Witness Report Template (.docx)"),
# downloadButton('templatePages', "Expert Witness Report Template (.pages)"),
#creates styling for loading message
tags$head(tags$style(type="text/css", "
#loadmessage {
position: fixed;
bottom: 0px;
left: 0px;
width: 100%;
padding: 5px 0px 5px 0px;
text-align: center;
font-weight: bold;
font-size: 100%;
color: #000000;
background-color: #FFFF66;
z-index: 105;
}
")),
conditionalPanel(condition="$('html').hasClass('shiny-busy')",
tags$div("Calculating...",id="loadmessage")),
downloadButton('report', 'Output PDF', class='outputpdf'),
tags$head(tags$style(type="text/css", ".outputpdf {float:right; top:0px}")),
htmlOutput("welcome"),
uiOutput('mytabs')
)
)
)
)