#' Compositional Data Analysis Shiny App User Interface Object
#'
#' @author N. Frerebeau
#' @keywords internal
#' @noRd
function(request) {
bslib::page_navbar(
title = toupper(kinesis::get_option("name")),
id = "main",
bslib::nav_panel(
title = "Home",
kinesis::home_ui("home", package = "nexus")
),
bslib::nav_panel(
title = "Data",
kinesis::coda_ui("coda")
),
bslib::nav_panel(
title = "Statistics",
kinesis::coda_summary_ui("coda_summary")
),
bslib::nav_menu(
title = "Plot",
bslib::nav_panel(
title = "Bar plot",
kinesis::coda_barplot_ui("barplot")
),
bslib::nav_panel(
title = "Ternary plot",
kinesis::ternary_ui("ternary")
)
),
bslib::nav_menu(
title = "Transform",
bslib::nav_panel(
title = "CLR",
value = "panel_clr",
kinesis::logratio_ui("clr")
),
bslib::nav_panel(
title = "ALR",
value = "panel_alr",
kinesis::logratio_ui("alr")
),
bslib::nav_panel(
title = "ILR",
value = "panel_ilr",
kinesis::logratio_ui("ilr")
),
bslib::nav_panel(
title = "PLR",
value = "panel_plr",
kinesis::logratio_ui("plr")
)
),
bslib::nav_menu(
title = "Analysis",
# bslib::nav_panel(
# title = "Outliers",
# kinesis::coda_outliers_ui("outliers")
# ),
bslib::nav_panel(
title = "PCA",
kinesis::pca_ui(
id = "pca",
scale = FALSE,
help = "PCA is computed on centered log-ratio (CLR), you should check the data transformation first."
)
),
bslib::nav_panel(
title = "HCLUST",
kinesis::coda_hclust_ui("clust")
)
),
bslib::nav_spacer(),
bslib::nav_item(bslib::input_dark_mode()),
footer = kinesis::footer_ui("footer"),
theme = kinesis::theme_ui(),
lang = "en",
collapsible = TRUE
)
}
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