Nothing
## UI.R
function(request) {
fluidPage(
titlePanel(NULL, windowTitle = "RLumShiny - IRSAR RF"),
sidebarLayout(
# 2- width = 5 -> refers to twitters bootstrap grid system
# where the the maximum width is 12 that is to be shared between all
# elements
sidebarPanel(width = 5,
# include a tabs in the input panel for easier navigation
tabsetPanel(id = "tabs", type = "pill", selected = "Data",
# Tab 1: Data input
tabPanel("Data",
div(align = "center", h5("Data upload")),
fileInput(inputId = "nat",
label = strong("Natural curve"),
placeholder = "A CSV file with two columns (Time and Counts)",
accept="text/plain, .csv, text/csv"),
fileInput(inputId = "reg",
label = strong("Regenerated curve"),
placeholder = "A CSV file with two columns (Time and Counts)",
accept="text/plain, .csv, text/csv"),
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_natural")
),
column(width = 6,
rHandsontableOutput(outputId = "table_regenerated")
)
)
),##EndOf::Tab_1
tabPanel("Method",
div(align = "center", h5("Method")),
selectInput(inputId = "method",
label = "Method",
selected = "SLIDE",
choices = c("SLIDE",
"VSLIDE",
"FIT",
"NONE")
),
br(),
div(align = "center", h5("Channel ranges")),
div(align = "left",
uiOutput(outputId = "RF_nat"),
title = "Set minimum and maximum channel range for natural signal fitting and sliding."),
div(align = "left",
uiOutput(outputId = "RF_reg"),
title = "Set minimum and maximum channel range for regenerated signal fitting and sliding."),
br(),
div(align = "center", h5("Other options")),
div(align = "left",
numericInput(inputId = "n_MC",
label = "Monte Carlo iterations",
value = 10, step = 10,
min = 0, max = 100),
title = "Number of Monte Carlo runs for the estimation of the start parameter (FIT) or of the error (SLIDE and VSLIDE). This value can be set to 0 to skip the MC runs.")
),
tabPanel("Plot",
div(align = "center", h5("Plot elements")),
textInput(inputId = "main",
label = "Title",
value = "IR-RF"),
conditionalPanel(condition = "input.method != 'NONE'",
checkboxInput(inputId = "show_residuals",
label = "Show residuals",
value = TRUE)
),
conditionalPanel(condition = "input.method == 'SLIDE' | input.method == 'VSLIDE'",
checkboxInput(inputId = "show_density",
label = "Show density",
value = TRUE),
checkboxInput(inputId = "show_fit",
label = "Show fit",
value = FALSE),
),
div(align = "center", h5("Legend")),
checkboxInput(inputId = "legend",
label = "Show legend",
value = TRUE),
selectInput(inputId = "legend_pos",
label = "Legend position",
selected = "top",
choices = c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright",
"Center" = "center",
"Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright")),
div(align = "center", h5("Scaling")),
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1)
),##EndOf::Tab_3
tabPanel("Axis",
div(align = "center", h5("X-axis")),
checkboxInput(inputId = "logx",
label = "Logarithmic x-axis",
value = FALSE),
textInput(inputId = "xlab",
label = "Label x-axis",
value = "Time [s]"),
div(align = "center", h5("Y-axis")),
## inject ylab textInput from server.R
checkboxInput(inputId = "logy",
label = "Logarithmic y-axis",
value = FALSE),
uiOutput(outputId = "ylab")
),
RLumShiny:::exportTab("export", filename = "irsarRF"),
RLumShiny:::aboutTab("about", "irsarRF")
)##EndOf::tabsetPanel
),##EndOf::sidebarPanel
# 3 - output panel
mainPanel(width = 7,
# insert css code inside <head></head> of the generated HTML file:
# allow open dropdown menus to reach over the container
tags$head(tags$style(type="text/css",".tab-content {overflow: visible;}")),
tags$head(includeCSS("www/style.css")),
# divide output in separate tabs via tabsetPanel
fluidRow(
tabsetPanel(
tabPanel("Results",
plotOutput(outputId = "main_plot", height = "600px"),
htmlOutput(outputId = "results")
),
tabPanel("R code", verbatimTextOutput("plotCode"))
)
)
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)##EndOf::fluidPage
}
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