inst/shiny/radialplot/ui.R
In tzerk/RLumShiny: 'Shiny' Applications for the R Package 'Luminescence'
## UI.R
function(request) {
fluidPage(
titlePanel(NULL, windowTitle = "RLumShiny - RadialPlot"),
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",
# informational text
div(align = "center", h5("Data upload")),
# file upload button (data set 1)
fileInput(inputId = "file1",
label = strong("Primary data set"),
accept="text/plain, .csv, text/csv"),
# file upload button (data set 2)
fileInput(inputId = "file2",
label = strong("Secondary data set"),
accept="text/plain, .csv, text/csv"),
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_in_primary")
),
column(width = 6,
rHandsontableOutput(outputId = "table_in_secondary"))
),
hr(),
actionButton(inputId = "refresh", label = "Refresh", icon = icon("fas fa-sync")),
tooltip(refId = "refresh", text = "Redraw the plot")
),##EndOf::Tab_1
# Tab 2: Statistical information
tabPanel("Statistics",
div(align = "center", h5("Summary")),
fluidRow(
column(width = 6,
checkboxInput(inputId = "summary",
label = "Show summary",
value = FALSE),
tooltip(refId = "summary", text = "Adds numerical output to the plot")
),
column(width = 6,
selectInput(inputId = "sumpos",
label = "Summary position",
selected = "topleft",
choices = list("Subtitle" = "sub",
"Center" = "center",
Top=c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright"),
Bottom=c("Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright")
)),
tooltip(refId = "sumpos", attr = "for", text = "Position of the statistical summary. The keyword \"Subtitle\" will only work if no plot subtitle is used.")
)
),
checkboxGroupInput(inputId = "stats",
label = "Parameters",
selected = c("n","mean"),
choices = c("n" = "n",
"Mean" = "mean",
"weighted Mean" = "mean.weighted",
"Median" = "median",
"weighted Median" = "median.weighted",
"rel. Standard deviation" = "sdrel",
"abs. Standard deviation" = "sdabs",
"rel. Standard error" = "serel",
"abs. Standard error" = "seabs",
#"25 % Quartile" = "q25", #not implemented yet
#"75 % Quartile" = "q75", #not implemented yet
"KDEmax" = "kdemax",
"Skewness" = "skewness",
"Kurtosis" = "kurtosis"
)),
tooltip(refId = "stats", text = "Statistical parameters to be shown in the summary"),
br(),
div(align = "center", h5("Datapoint labels")),
div(align = "center", checkboxGroupInput(inputId = "statlabels", inline = TRUE,
label = NULL,
choices = c("Min" = "min",
"Max" = "max",
"Median" = "median"))),
tooltip(refId = "statlabels", text = "Additional labels of statistically important values in the plot.")
),##EndOf::Tab_2
# Tab 3: input that refer to the plot rather than the data
tabPanel("Plot",
div(align = "center", h5("Title")),
fluidRow(
column(width = 6,
textInput(inputId = "main",
label = "Title",
value = "Radial Plot")
),
column(width = 6,
textInput(inputId = "mtext",
label = "Subtitle",
value = "")
)
),
div(align = "center", h5("Scaling")),
fluidRow(
column(width = 6,
# inject sliderInput from Server.R
uiOutput(outputId = "centValue"),
tooltip(refId = "centValue", text = "User-defined central value, primarily used for horizontal centering of the z-axis")
),
column(width = 6,
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1)
)
),
selectInput(inputId = "centrality",
label = "Centrality",
list("Mean" = "mean",
"Median" = "median",
"Weighted mean" = "mean.weighted",
"Weighted median" = "median.weighted")),
tooltip(refId = "centrality", attr = "for", text = "Measure of centrality, used for the standardisation, centering the plot and drawing the central line.")
),##EndOf::Tab_3
# Tab 4: modify axis parameters
tabPanel("Axis",
div(align = "center", h5("X-axis")),
fluidRow(
column(width = 6,
textInput(inputId = "xlab1",
label = "Label x-axis (upper)",
value = "Relative error [%]")
),
column(width = 6,
textInput(inputId = "xlab2",
label = "Label x-axis (lower)",
value = "Precision")
)
),
# inject sliderInput from Server.R
uiOutput(outputId = "xlim"),
div(align = "center", h5("Y-axis")),
checkboxInput(inputId = "yticks",
label = HTML("Show ±2σ label"),
value = TRUE),
tooltip(refId = "yticks", text = "Option to hide y-axis labels."),
textInput(inputId = "ylab",
label = "Label y-axis",
value = "Standardised estimate"),
div(align = "center", h5("Z-axis")),
checkboxInput(inputId = "logz",
label = "Logarithmic z-axis",
value = TRUE),
tooltip(refId = "logz", text = "Option to display the z-axis in logarithmic scale."),
textInput(inputId = "zlab",
label = "Label z-axis",
value = "Equivalent dose [Gy]"),
# inject sliderInput from Server.R
uiOutput(outputId = "zlim"),
sliderInput('curvature', 'Z-axis curvature',
min=0, max=3,
value=4.5/5.5, step=0.01, round=FALSE),
tooltip(refId = "curvature", attr = "for", text = "User-defined plot area ratio (i.e. curvature of the z-axis). If omitted, the default value (4.5/5.5) is used and modified automatically to optimise the z-axis curvature. The parameter should be decreased when data points are plotted outside the z-axis or when the z-axis gets too elliptic.")
),##EndOf::Tab_4
# Tab 5: modify data point representation
tabPanel("Datapoints",
div(align = "center", h5("Primary data set")),
fluidRow(
column(width = 6,
selectInput(inputId = "pch",
label = "Style",
selected = "17",
choices = c("Square"= "1",
"Circle"="2",
"Triangle point up"="3",
"Plus"="4",
"Cross"="5",
"Diamond"="6",
"Triangle point down"="7",
"Square cross"="8",
"Star"="9",
"Diamond plus"="10",
"Circle plus"="11",
"Triangles up and down"="12",
"Square plus"="13",
"Circle cross"="14",
"Square and Triangle down"="15",
"filled Square"="16",
"filled Circle"="17",
"filled Triangle point up"="18",
"filled Diamond"="19",
"solid Circle"="20",
"Bullet (smaller Circle)"="21",
"Custom"="custom"))
),
column(width = 6,
# show only if custom symbol is desired
conditionalPanel(condition = "input.pch == 'custom'",
textInput(inputId = "custompch",
label = "Insert character",
value = "?"))
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "color", label = "Datapoint color",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.color == 'custom'",
jscolorInput(inputId = "rgb",
label = "Choose a color"))
)
),
div(align = "center", h5("Secondary data set")),
fluidRow(
column(width = 6,
## DATA SET 2
selectInput(inputId = "pch2",
label = "Style",
selected = "17",
choices = c("Square"= "1",
"Circle"="2",
"Triangle point up"="3",
"Plus"="4",
"Cross"="5",
"Diamond"="6",
"Triangle point down"="7",
"Square cross"="8",
"Star"="9",
"Diamond plus"="10",
"Circle plus"="11",
"Triangles up and down"="12",
"Square plus"="13",
"Circle cross"="14",
"Square and Triangle down"="15",
"filled Square"="16",
"filled Circle"="17",
"filled Triangle point up"="18",
"filled Diamond"="19",
"solid Circle"="20",
"Bullet (smaller Circle)"="21",
"Custom"="custom"))
),
column(width = 6,
# show only if custom symbol is desired
conditionalPanel(condition = "input.pch2 == 'custom'",
textInput(inputId = "custompch2",
label = "Insert character",
value = "?"))
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "color2", label = "Datapoint color",
selected = "#b22222",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.color2 == 'custom'",
jscolorInput(inputId = "rgb2",
label = "Choose a color"))
)
)
),##EndOf::Tab_5
# Tab 6: add additional lines to the plot
tabPanel("Lines",
helpText("Here you can add additional lines."),
# options for custom lines:
# 1 - z-value, 2 - color, 3 - label
# only the options for the first line are shown
numericInput(inputId = "line1",
label = strong("Line #1"),
value = NA, min = 0),
tooltip(refId = "line1", text = "Numeric values of the additional lines to be added."),
fluidRow(
column(width = 6,
HTML("Choose a color<br>"),
jscolorInput(inputId = "colline1")
),
column(width = 6,
textInput(inputId = "labline1",
label = "Label",
value = "")
)
),
# conditional chain: if valid input (i.e. the z-value is > 0) is provided
# for the previous line, show options for a new line (currently up to eight)
conditionalPanel(condition = "input.line1 > 0",
numericInput(inputId = "line2", strong("Line #2"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline2")),
column(width = 6, textInput("labline2","Label",value = ""))
)
),
conditionalPanel(condition = "input.line2 > 0",
numericInput(inputId = "line3", strong("Line #3"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline3")),
column(width = 6, textInput("labline3","Label",value = ""))
)
),
conditionalPanel(condition = "input.line3 > 0",
numericInput(inputId = "line4", strong("Line #4"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline4")),
column(width = 6, textInput("labline4","Label",value = ""))
)
),
conditionalPanel(condition = "input.line4 > 0",
numericInput(inputId = "line5", strong("Line #5"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline5")),
column(width = 6, textInput("labline5","Label",value = ""))
)
),
conditionalPanel(condition = "input.line5 > 0",
numericInput(inputId = "line6", strong("Line #6"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline6")),
column(width = 6, textInput("labline6","Label",value = ""))
)
),
conditionalPanel(condition = "input.line6 > 0",
numericInput(inputId = "line7", strong("Line #7"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline7")),
column(width = 6, textInput("labline7","Label",value = ""))
)
),
conditionalPanel(condition = "input.line7 > 0",
numericInput(inputId = "line8", strong("Line #8"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline8")),
column(width = 6, textInput("labline8","Label",value = ""))
)
)
),##EndOf::Tab_6
# Tab 7: modify the 2-sigma bar (radial plot), grid (both) and polygon (KDE)
tabPanel("Bars & Grid",
div(align = "center", h5("Central line")),
fluidRow(
column(width = 6,
numericInput(inputId = "lwd",
label = "Central line width #1",
min = 0, max = 5,
value = 1)
),
column(width = 6,
numericInput(inputId = "lwd2",
label = "Central line width #2",
min = 0, max = 5,
value = 1)
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "lty",
label = "Line type",
selected = 2,
choices = list("Blank" = 0,
"Solid" = 1,
"Dashed" = 2,
"Dotted" = 3,
"Dot dash" = 4,
"Long dash" = 5,
"Two dash" = 6))
),
column(width = 6,
selectInput(inputId = "lty2",
label = "Line type",
selected = 2,
choices = list("Blank" = 0,
"Solid" = 1,
"Dashed" = 2,
"Dotted" = 3,
"Dot dash" = 4,
"Long dash" = 5,
"Two dash" = 6))
)
),
div(align = "center", HTML("<h5>2σ bar</h5>")),
fluidRow(
column(width = 6,
selectInput(inputId = "bar", label = HTML("2σ bar color"),
choices = list("Grey" = "grey50",
"Custom" = "custom",
"None" = "none"))
),
column(width = 6,
selectInput(inputId = "bar2", label = HTML("2σ bar color #2"),
choices = list("Grey" = "grey50",
"Custom" = "custom",
"None" = "none"))
)
),
fluidRow(
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.bar == 'custom'",
jscolorInput(inputId = "rgbBar",
label = "Choose a color"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.bar2 == 'custom'",
jscolorInput(inputId = "rgbBar2",
label = "Choose a color"))
)
),
sliderInput(inputId = "alpha.bar",
label = "Transparency",
min = 0, max = 100,
step = 1, value = 66),
div(align = "center", h5("Grid")),
fluidRow(
column(width = 6,
selectInput("grid", "Grid color",
list("Grey" = "grey",
"Custom" = "custom",
"None" = "none")),
tooltip(refId = "grid", attr = "for", text = "colour of the grid lines (originating at [0,0] and stretching to the z-scale). To disable grid lines, use \"none\".")
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.grid == 'custom'",
jscolorInput(inputId = "rgbGrid",
label = "Choose a color"))
)
),
sliderInput(inputId = "alpha.grid",
label = "Transparency",
min = 0, max = 100,
step = 1, value = 100)
),##EndOf::Tab_7
tabPanel("Legend",
div(align = "center", h5("Legend")),
fluidRow(
column(width = 6,
checkboxInput(inputId = "showlegend",
label = "Show legend",
value = FALSE),
tooltip(refId = "showlegend", text = "Legend content to be added to the plot.")
),
column(width = 6,
selectInput(inputId = "legend.pos",
label = "Legend position",
selected = "bottomleft",
choices = c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright",
"Center" = "center",
"Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright"))
)
),
fluidRow(
column(width = 6,
textInput(inputId = "legendname",
label = "Primary data label",
value = "primary data")
),
column(width = 6,
textInput(inputId = "legendname2",
label = "Secondary data label",
value = "secondary data")
)
)
),##EndOf::Tab_8
RLumShiny:::exportTab("export", filename = "radial plot"),
RLumShiny:::aboutTab("about", "radialplot")
)##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
tabsetPanel(
tabPanel("Plot", plotOutput(outputId = "main_plot", height = "500px")),
tabPanel("Primary data set", dataTableOutput("dataset")),
tabPanel("Secondary data set", dataTableOutput("dataset2")),
tabPanel("Central Age Model", dataTableOutput("CAM")),
tabPanel("R plot code", verbatimTextOutput("plotCode"))
)###EndOf::tabsetPanel
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)##EndOf::fluidPage
}
tzerk/RLumShiny documentation built on Feb. 4, 2022, 1:54 p.m.
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## UI.R
function(request) {
fluidPage(
titlePanel(NULL, windowTitle = "RLumShiny - RadialPlot"),
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",
# informational text
div(align = "center", h5("Data upload")),
# file upload button (data set 1)
fileInput(inputId = "file1",
label = strong("Primary data set"),
accept="text/plain, .csv, text/csv"),
# file upload button (data set 2)
fileInput(inputId = "file2",
label = strong("Secondary data set"),
accept="text/plain, .csv, text/csv"),
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_in_primary")
),
column(width = 6,
rHandsontableOutput(outputId = "table_in_secondary"))
),
hr(),
actionButton(inputId = "refresh", label = "Refresh", icon = icon("fas fa-sync")),
tooltip(refId = "refresh", text = "Redraw the plot")
),##EndOf::Tab_1
# Tab 2: Statistical information
tabPanel("Statistics",
div(align = "center", h5("Summary")),
fluidRow(
column(width = 6,
checkboxInput(inputId = "summary",
label = "Show summary",
value = FALSE),
tooltip(refId = "summary", text = "Adds numerical output to the plot")
),
column(width = 6,
selectInput(inputId = "sumpos",
label = "Summary position",
selected = "topleft",
choices = list("Subtitle" = "sub",
"Center" = "center",
Top=c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright"),
Bottom=c("Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright")
)),
tooltip(refId = "sumpos", attr = "for", text = "Position of the statistical summary. The keyword \"Subtitle\" will only work if no plot subtitle is used.")
)
),
checkboxGroupInput(inputId = "stats",
label = "Parameters",
selected = c("n","mean"),
choices = c("n" = "n",
"Mean" = "mean",
"weighted Mean" = "mean.weighted",
"Median" = "median",
"weighted Median" = "median.weighted",
"rel. Standard deviation" = "sdrel",
"abs. Standard deviation" = "sdabs",
"rel. Standard error" = "serel",
"abs. Standard error" = "seabs",
#"25 % Quartile" = "q25", #not implemented yet
#"75 % Quartile" = "q75", #not implemented yet
"KDEmax" = "kdemax",
"Skewness" = "skewness",
"Kurtosis" = "kurtosis"
)),
tooltip(refId = "stats", text = "Statistical parameters to be shown in the summary"),
br(),
div(align = "center", h5("Datapoint labels")),
div(align = "center", checkboxGroupInput(inputId = "statlabels", inline = TRUE,
label = NULL,
choices = c("Min" = "min",
"Max" = "max",
"Median" = "median"))),
tooltip(refId = "statlabels", text = "Additional labels of statistically important values in the plot.")
),##EndOf::Tab_2
# Tab 3: input that refer to the plot rather than the data
tabPanel("Plot",
div(align = "center", h5("Title")),
fluidRow(
column(width = 6,
textInput(inputId = "main",
label = "Title",
value = "Radial Plot")
),
column(width = 6,
textInput(inputId = "mtext",
label = "Subtitle",
value = "")
)
),
div(align = "center", h5("Scaling")),
fluidRow(
column(width = 6,
# inject sliderInput from Server.R
uiOutput(outputId = "centValue"),
tooltip(refId = "centValue", text = "User-defined central value, primarily used for horizontal centering of the z-axis")
),
column(width = 6,
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1)
)
),
selectInput(inputId = "centrality",
label = "Centrality",
list("Mean" = "mean",
"Median" = "median",
"Weighted mean" = "mean.weighted",
"Weighted median" = "median.weighted")),
tooltip(refId = "centrality", attr = "for", text = "Measure of centrality, used for the standardisation, centering the plot and drawing the central line.")
),##EndOf::Tab_3
# Tab 4: modify axis parameters
tabPanel("Axis",
div(align = "center", h5("X-axis")),
fluidRow(
column(width = 6,
textInput(inputId = "xlab1",
label = "Label x-axis (upper)",
value = "Relative error [%]")
),
column(width = 6,
textInput(inputId = "xlab2",
label = "Label x-axis (lower)",
value = "Precision")
)
),
# inject sliderInput from Server.R
uiOutput(outputId = "xlim"),
div(align = "center", h5("Y-axis")),
checkboxInput(inputId = "yticks",
label = HTML("Show ±2σ label"),
value = TRUE),
tooltip(refId = "yticks", text = "Option to hide y-axis labels."),
textInput(inputId = "ylab",
label = "Label y-axis",
value = "Standardised estimate"),
div(align = "center", h5("Z-axis")),
checkboxInput(inputId = "logz",
label = "Logarithmic z-axis",
value = TRUE),
tooltip(refId = "logz", text = "Option to display the z-axis in logarithmic scale."),
textInput(inputId = "zlab",
label = "Label z-axis",
value = "Equivalent dose [Gy]"),
# inject sliderInput from Server.R
uiOutput(outputId = "zlim"),
sliderInput('curvature', 'Z-axis curvature',
min=0, max=3,
value=4.5/5.5, step=0.01, round=FALSE),
tooltip(refId = "curvature", attr = "for", text = "User-defined plot area ratio (i.e. curvature of the z-axis). If omitted, the default value (4.5/5.5) is used and modified automatically to optimise the z-axis curvature. The parameter should be decreased when data points are plotted outside the z-axis or when the z-axis gets too elliptic.")
),##EndOf::Tab_4
# Tab 5: modify data point representation
tabPanel("Datapoints",
div(align = "center", h5("Primary data set")),
fluidRow(
column(width = 6,
selectInput(inputId = "pch",
label = "Style",
selected = "17",
choices = c("Square"= "1",
"Circle"="2",
"Triangle point up"="3",
"Plus"="4",
"Cross"="5",
"Diamond"="6",
"Triangle point down"="7",
"Square cross"="8",
"Star"="9",
"Diamond plus"="10",
"Circle plus"="11",
"Triangles up and down"="12",
"Square plus"="13",
"Circle cross"="14",
"Square and Triangle down"="15",
"filled Square"="16",
"filled Circle"="17",
"filled Triangle point up"="18",
"filled Diamond"="19",
"solid Circle"="20",
"Bullet (smaller Circle)"="21",
"Custom"="custom"))
),
column(width = 6,
# show only if custom symbol is desired
conditionalPanel(condition = "input.pch == 'custom'",
textInput(inputId = "custompch",
label = "Insert character",
value = "?"))
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "color", label = "Datapoint color",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.color == 'custom'",
jscolorInput(inputId = "rgb",
label = "Choose a color"))
)
),
div(align = "center", h5("Secondary data set")),
fluidRow(
column(width = 6,
## DATA SET 2
selectInput(inputId = "pch2",
label = "Style",
selected = "17",
choices = c("Square"= "1",
"Circle"="2",
"Triangle point up"="3",
"Plus"="4",
"Cross"="5",
"Diamond"="6",
"Triangle point down"="7",
"Square cross"="8",
"Star"="9",
"Diamond plus"="10",
"Circle plus"="11",
"Triangles up and down"="12",
"Square plus"="13",
"Circle cross"="14",
"Square and Triangle down"="15",
"filled Square"="16",
"filled Circle"="17",
"filled Triangle point up"="18",
"filled Diamond"="19",
"solid Circle"="20",
"Bullet (smaller Circle)"="21",
"Custom"="custom"))
),
column(width = 6,
# show only if custom symbol is desired
conditionalPanel(condition = "input.pch2 == 'custom'",
textInput(inputId = "custompch2",
label = "Insert character",
value = "?"))
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "color2", label = "Datapoint color",
selected = "#b22222",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.color2 == 'custom'",
jscolorInput(inputId = "rgb2",
label = "Choose a color"))
)
)
),##EndOf::Tab_5
# Tab 6: add additional lines to the plot
tabPanel("Lines",
helpText("Here you can add additional lines."),
# options for custom lines:
# 1 - z-value, 2 - color, 3 - label
# only the options for the first line are shown
numericInput(inputId = "line1",
label = strong("Line #1"),
value = NA, min = 0),
tooltip(refId = "line1", text = "Numeric values of the additional lines to be added."),
fluidRow(
column(width = 6,
HTML("Choose a color<br>"),
jscolorInput(inputId = "colline1")
),
column(width = 6,
textInput(inputId = "labline1",
label = "Label",
value = "")
)
),
# conditional chain: if valid input (i.e. the z-value is > 0) is provided
# for the previous line, show options for a new line (currently up to eight)
conditionalPanel(condition = "input.line1 > 0",
numericInput(inputId = "line2", strong("Line #2"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline2")),
column(width = 6, textInput("labline2","Label",value = ""))
)
),
conditionalPanel(condition = "input.line2 > 0",
numericInput(inputId = "line3", strong("Line #3"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline3")),
column(width = 6, textInput("labline3","Label",value = ""))
)
),
conditionalPanel(condition = "input.line3 > 0",
numericInput(inputId = "line4", strong("Line #4"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline4")),
column(width = 6, textInput("labline4","Label",value = ""))
)
),
conditionalPanel(condition = "input.line4 > 0",
numericInput(inputId = "line5", strong("Line #5"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline5")),
column(width = 6, textInput("labline5","Label",value = ""))
)
),
conditionalPanel(condition = "input.line5 > 0",
numericInput(inputId = "line6", strong("Line #6"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline6")),
column(width = 6, textInput("labline6","Label",value = ""))
)
),
conditionalPanel(condition = "input.line6 > 0",
numericInput(inputId = "line7", strong("Line #7"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline7")),
column(width = 6, textInput("labline7","Label",value = ""))
)
),
conditionalPanel(condition = "input.line7 > 0",
numericInput(inputId = "line8", strong("Line #8"), NA, min = 0),
fluidRow(
column(width = 6, HTML("Choose a color<br>"),jscolorInput(inputId = "colline8")),
column(width = 6, textInput("labline8","Label",value = ""))
)
)
),##EndOf::Tab_6
# Tab 7: modify the 2-sigma bar (radial plot), grid (both) and polygon (KDE)
tabPanel("Bars & Grid",
div(align = "center", h5("Central line")),
fluidRow(
column(width = 6,
numericInput(inputId = "lwd",
label = "Central line width #1",
min = 0, max = 5,
value = 1)
),
column(width = 6,
numericInput(inputId = "lwd2",
label = "Central line width #2",
min = 0, max = 5,
value = 1)
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "lty",
label = "Line type",
selected = 2,
choices = list("Blank" = 0,
"Solid" = 1,
"Dashed" = 2,
"Dotted" = 3,
"Dot dash" = 4,
"Long dash" = 5,
"Two dash" = 6))
),
column(width = 6,
selectInput(inputId = "lty2",
label = "Line type",
selected = 2,
choices = list("Blank" = 0,
"Solid" = 1,
"Dashed" = 2,
"Dotted" = 3,
"Dot dash" = 4,
"Long dash" = 5,
"Two dash" = 6))
)
),
div(align = "center", HTML("<h5>2σ bar</h5>")),
fluidRow(
column(width = 6,
selectInput(inputId = "bar", label = HTML("2σ bar color"),
choices = list("Grey" = "grey50",
"Custom" = "custom",
"None" = "none"))
),
column(width = 6,
selectInput(inputId = "bar2", label = HTML("2σ bar color #2"),
choices = list("Grey" = "grey50",
"Custom" = "custom",
"None" = "none"))
)
),
fluidRow(
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.bar == 'custom'",
jscolorInput(inputId = "rgbBar",
label = "Choose a color"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.bar2 == 'custom'",
jscolorInput(inputId = "rgbBar2",
label = "Choose a color"))
)
),
sliderInput(inputId = "alpha.bar",
label = "Transparency",
min = 0, max = 100,
step = 1, value = 66),
div(align = "center", h5("Grid")),
fluidRow(
column(width = 6,
selectInput("grid", "Grid color",
list("Grey" = "grey",
"Custom" = "custom",
"None" = "none")),
tooltip(refId = "grid", attr = "for", text = "colour of the grid lines (originating at [0,0] and stretching to the z-scale). To disable grid lines, use \"none\".")
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.grid == 'custom'",
jscolorInput(inputId = "rgbGrid",
label = "Choose a color"))
)
),
sliderInput(inputId = "alpha.grid",
label = "Transparency",
min = 0, max = 100,
step = 1, value = 100)
),##EndOf::Tab_7
tabPanel("Legend",
div(align = "center", h5("Legend")),
fluidRow(
column(width = 6,
checkboxInput(inputId = "showlegend",
label = "Show legend",
value = FALSE),
tooltip(refId = "showlegend", text = "Legend content to be added to the plot.")
),
column(width = 6,
selectInput(inputId = "legend.pos",
label = "Legend position",
selected = "bottomleft",
choices = c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright",
"Center" = "center",
"Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright"))
)
),
fluidRow(
column(width = 6,
textInput(inputId = "legendname",
label = "Primary data label",
value = "primary data")
),
column(width = 6,
textInput(inputId = "legendname2",
label = "Secondary data label",
value = "secondary data")
)
)
),##EndOf::Tab_8
RLumShiny:::exportTab("export", filename = "radial plot"),
RLumShiny:::aboutTab("about", "radialplot")
)##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
tabsetPanel(
tabPanel("Plot", plotOutput(outputId = "main_plot", height = "500px")),
tabPanel("Primary data set", dataTableOutput("dataset")),
tabPanel("Secondary data set", dataTableOutput("dataset2")),
tabPanel("Central Age Model", dataTableOutput("CAM")),
tabPanel("R plot code", verbatimTextOutput("plotCode"))
)###EndOf::tabsetPanel
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)##EndOf::fluidPage
}
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