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apps/Assignment/ui.R
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123
apps/Assignment/ui.R
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library(shiny)
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library(ggplot2)
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ui <- fluidPage(
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## -----------------------------------------------------------------------------
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## Application title
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## -----------------------------------------------------------------------------
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titlePanel("Assign groups based on costs/priorities.",
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windowTitle = "Group assignment calculator"),
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h5(
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"Please note this calculator is only meant as a proof of concept for educational purposes,
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and the author will take no responsibility for the results of the calculator.
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Uploaded data is not kept, but please, do not upload any sensitive data."
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),
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## -----------------------------------------------------------------------------
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## Side panel
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## -----------------------------------------------------------------------------
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## -----------------------------------------------------------------------------
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## Single entry
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## -----------------------------------------------------------------------------
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sidebarLayout(
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sidebarPanel(
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numericInput(
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inputId = "ecxess",
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label = "Excess space",
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value = 1,
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step = .05
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),
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p("As default, the program will try to evenly distribute subjects in groups.
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This factor will add more capacity to each group, for an overall lesser cost,
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but more uneven group numbers. More adjustments can be performed with the source script."),
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a(href='https://git.nikohuru.dk/au-phd/PhysicalActivityandStrokeOutcome/src/branch/main/apps/Assignment', "Source", target="_blank"),
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## -----------------------------------------------------------------------------
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## File upload
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## -----------------------------------------------------------------------------
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# Input: Select a file ----
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fileInput(
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inputId = "file1",
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label = "Choose main data file",
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multiple = FALSE,
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accept = c(
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".csv",".xls",".xlsx"
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)
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),
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strong("Columns: ID, group1, group2, ... groupN."),
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strong("NOTE: 0s will be interpreted as lowest score."),
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p("Cells should contain cost/priorities.
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Lowest score, for highest priority.
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Non-ranked should contain a number (eg lowest score+1).
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Will handle missings but try to avoid."),
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fileInput(
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inputId = "file2",
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label = "Choose data file for pre-assigned subjects",
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multiple = FALSE,
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accept = c(
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".csv",".xls",".xlsx"
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)
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),
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h6("Columns: ID, group"),
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## -----------------------------------------------------------------------------
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## Download output
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## -----------------------------------------------------------------------------
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# Horizontal line ----
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tags$hr(),
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h4("Download results"),
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# Button
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downloadButton("downloadData", "Download")
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),
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mainPanel(tabsetPanel(
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## -----------------------------------------------------------------------------
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## Plot tab
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## -----------------------------------------------------------------------------
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tabPanel(
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"Summary",
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h3("Assignment plot"),
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p("These plots are to summarise simple performance meassures for the assignment.
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'f' is group fill fraction and 'm' is mean cost in group."),
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plotOutput("assign.plt")
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),
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tabPanel(
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"Results",
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h3("Raw Results"),
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p("This is identical to the downloaded file (see panel on left)"),
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htmlOutput("raw.data.tbl", container = span)
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),
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tabPanel(
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"Input data Results",
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h3("Costs/prioritis overview"),
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htmlOutput("input", container = span),
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h3("Pre-assigned groups"),
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p("Appears empty if none is uploaded."),
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htmlOutput("pre.assign", container = span)
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)
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))
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)
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)
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