Nothing
tagList(
fluidRow(
column(
width = 3,
selectizeInput(
inputId = "param",
label = h4("Select parameter"),
choices = .param_list,
selected = .param_list[1],
multiple = FALSE
)
),
column(
width = 7,
offset = 1,
DT::dataTableOutput("parameter_summary_out")
)
),
navlistPanel(
well = FALSE,
widths = c(3, 9),
#### multiview ####
tabPanel(
title = "Multiview",
icon = icon("th-large", lib = "glyphicon"),
checkboxInput(
"multiview_warmup",
label = strong("Include warmup"),
value = FALSE
),
splitLayout(h5("Kernel Density Estimate"), h5("Autocorrelation")),
splitLayout(
plotOutput("multiview_density_out", height = "150"),
plotOutput("multiview_autocorr_out", height = "150"),
cellArgs = list(class = "plot_hover_shadow")
),
h5("Trace"),
dygraphs::dygraphOutput("multiview_trace_out", height = "200px"),
source_ui("dynamic_trace_helptext.R")
),
#### bivariate #####
tabPanel(
title = "Bivariate",
selectizeInput(
"bivariate_param_y",
label = strong(style = "color: #006DCC;", "y-axis"),
choices = rev(.param_list),
selected = rev(.param_list)[1],
multiple = FALSE
),
a_options("bivariate"),
source_ui("bivariate_customize.R"),
plotOutput("bivariate_plot_out", height = "350px"),
helpText(
style = "font-size: 11px",
"For Stan models using the NUTS algorithm, red points indicate iterations that encountered a divergent transition.",
"Yellow points indicate a transition that hit the maximum treedepth",
"rather than terminated its evolution normally."
),
hr(),
downloadButton("download_bivariate", "ggplot2", class = "plot-download"),
downloadButton('save_pdf_bivariate', "pdf", class = "plot-download pdf-download")
),
#### trivariate #####
tabPanel(
title = "Trivariate",
source_ui("trivariate_select.R"),
a_options("trivariate"),
source_ui("trivariate_customize.R"),
br(),
threejs::scatterplotThreeOutput("trivariate_plot_out", height = "400px"),
helpText(
style = "font-size: 12px;",
"Use your mouse and trackpad to rotate the plot and zoom in or out."
)
),
#### density #####
tabPanel(
title = "Density",
a_options("density"),
source_ui("density_customize.R"),
plotOutput("density_plot_out", height = "250px"),
hr(),
downloadButton("download_density", "ggplot2", class = "plot-download"),
downloadButton('save_pdf_density', "pdf", class = "plot-download pdf-download")
),
#### histogram #####
tabPanel(
title = "Histogram",
a_options("hist"),
source_ui("hist_customize.R"),
plotOutput("hist_plot_out", height = "250px"),
hr(),
downloadButton("download_histogram", "ggplot2", class = "plot-download"),
downloadButton('save_pdf_histogram', "pdf", class = "plot-download pdf-download")
)
)
)
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