#' @title Displays a correlation matrix of the quantitative data of a
#' numeric matrix.
#'
#' @description
#' xxxx
#'
#' @name metacell-plots
#'
#' @param id xxx
#' @param vizData xxx
#' @param pal xxx
#' @param pattern xxx
#' @param showSelect xxx
#'
#' @return NA
#'
#' @example inst/extdata/examples/ex_mod_ds_metacell.R
#'
NULL
#' @rdname metacell-plots
#' @export
#'
mod_ds_metacell_ui <- function(id) {
ns <- NS(id)
tagList(
shinyjs::useShinyjs(),
p('Select one or several tag(s) to display statistics about'),
uiOutput(ns('chooseTagUI')),
fluidRow(
column(width = 4,
highchartOutput(ns("qMetacell")), height = "600px"),
column(width = 4,
highchartOutput(ns("qMetacell_per_lines"))),
column(width = 4,
highchartOutput(ns("qmetacell_per_lines_per_conds")))
)
)
}
#' @rdname metacell-plots
#' @export
#'
mod_ds_metacell_server <- function(id,
vizData = reactive({NULL}),
pal = reactive({NULL}),
pattern = reactive({NULL}),
showSelect = reactive({TRUE})) {
moduleServer(id, function(input, output, session) {
ns <- session$ns
addResourcePath(prefix = "img_ds_metacell",
directoryPath = system.file('images', package='DaparToolshed'))
rv <- reactiveValues(
chooseTag = pattern(),
showSelect = if(is.null(pattern())) TRUE else showSelect(),
type = NULL
)
observe({
req(vizData())
rv$type <- vizData()@type
})
tmp.tags <- mod_metacell_tree_server('tree', type = reactive({rv$type}))
observeEvent(tmp.tags()$values, ignoreNULL = FALSE, ignoreInit = TRUE,{
rv$chooseTag <- tmp.tags()$values
})
output$chooseTagUI <- renderUI({
req(vizData())
mod_metacell_tree_ui(ns('tree'))
})
output$qMetacell <- renderHighchart({
tmp <- NULL
tmp <- metacellHisto_HC(vizData = vizData(),
pattern = rv$chooseTag,
pal = pal()
)
tmp
})
output$qMetacell_per_lines <- renderHighchart({
tmp <- NULL
tmp <-
metacellPerLinesHisto_HC(vizData = vizData(),
pattern = rv$chooseTag,
indLegend = seq.int(from = 2, to = length(vizData()@conds))
)
# future(createPNGFromWidget(tmp,pattern))
# })
tmp
})
output$qmetacell_per_lines_per_conds <- renderHighchart({
tmp <- NULL
# isolate({
# pattern <- paste0(GetCurrentObjName(),".MVplot2")
tmp <- metacellPerLinesHistoPerCondition_HC(vizData = vizData(),
pattern = rv$chooseTag,
pal = pal()
)
# future(createPNGFromWidget(tmp,pattern))
# })
tmp
})
}
)
}
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