在 rpivotTable 中只有 Table

Only Table in rpivotTable

我在 Shiny 应用程序中使用 rpivotTable 包,我只想为用户选择 'Table'(无图表)
RenderName 参数仅用于选择默认显示...

output$pivot <- renderRpivotTable(
    rpivotTable(iris, 
                rendererName = "Table" )
    )

非常感谢!

这里有多个问题。

  • 您可以通过 rpivotTable() 中的匿名 renderers 参数指定渲染器。我有 JS 代码形式 here.
  • 但是,只选择一个选项时会出现错误。在这种情况下,rpivotTable() 再次将参数包装在列表中(参见原始函数代码中的 Map() 调用)并且转发到 JS 失败。

因此,我考虑到了这个问题,并扩展了一些功能。试用 aggregators/renderers 看看它与原始 rpivotTable() 函数有何不同。

# define own function
my_rpivotTable <- function (data, rows = NULL, cols = NULL, aggregatorName = NULL, 
          vals = NULL, rendererName = NULL, sorter = NULL, exclusions = NULL, 
          inclusions = NULL, locale = "en", subtotals = FALSE, ..., 
          width = 800, height = 600, elementId = NULL) 
{
  if (length(intersect(class(data), c("data.frame", "data.table", 
                                      "table", "structable", "ftable"))) == 0) {
    stop("data should be a data.frame, data.table, or table", 
         call. = F)
  }
  if (length(intersect(c("table", "structable", "ftable"), 
                       class(data))) > 0) 
    data <- as.data.frame(data)
  params <- list(rows = rows, cols = cols, aggregatorName = aggregatorName, 
                 vals = vals, rendererName = rendererName, sorter = sorter, 
                 ...)
  params <- Map(function(p) {
    # added to the class check -------------------------------------------------
    if (length(p) == 1 && class(p[[1]]) != "JS_EVAL") {
      p = list(p)
    }
    return(p)
  }, params)
  par <- list(exclusions = exclusions, inclusions = inclusions)
  params <- c(params, par)
  params <- Filter(Negate(is.null), params)
  x <- list(data = data, params = params, locale = locale, 
            subtotals = subtotals)
  htmlwidgets::createWidget(name = "rpivotTable", x, width = width, 
                            height = height, elementId = elementId, package = "rpivotTable")
}
# create the pivot table
my_rpivotTable(
  expand.grid(LETTERS, 1:3),
  aggregatorName = "Count",
  aggregators = list(Sum = htmlwidgets::JS('$.pivotUtilities.aggregators["Sum"]'),
                     Count = htmlwidgets::JS('$.pivotUtilities.aggregators["Count"]')),
  rendererName = "fancyTable",
  renderers = list(fancyTable = htmlwidgets::JS('$.pivotUtilities.renderers["Table"]'))

)