shinypivottabler

0th

Percentile

Shiny module to render and export pivot tables.

Shiny module to render and export pivot tables.

Usage
shinypivottabler(
  input,
  output,
  session,
  data,
  pivot_cols = NULL,
  indicator_cols = NULL,
  max_n_pivot_cols = 100,
  additional_expr_num = list(),
  additional_expr_char = list(),
  additional_combine = list(),
  theme = NULL,
  export_styles = TRUE,
  show_title = TRUE,
  initialization = NULL
)

shinypivottablerUI(id, app_colors = c("#59bb28", "#217346"), app_linewidth = 8)

Arguments
input

shiny input

output

shiny input

session

shiny input

data

data.frame / data.table. Initial data table.

pivot_cols

character (NULL). Columns to be used as pivot in rows and cols.

indicator_cols

character (NULL). Columns on which indicators will be calculated.

max_n_pivot_cols

numeric (100). Maximum unique values for a pivot_cols if pivot_cols = NULL

additional_expr_num

named list (list()). Additional computations to be allowed for quantitative vars.

additional_expr_char

named list (list()). Additional computations to be allowed for qualitative vars.

additional_combine

named list (list()). Additional combinations to be allowed.

theme

list (NULL). Theme to customize the output of the pivot table.

export_styles

boolean (TRUE). Whether or not to apply styles (like the theme) when exporting to Excel.

show_title

boolean (TRUE). Whether or not to display the app title. Some styles may not be supported by Excel.

initialization

named list (NULL). Initialization parameters to display a table when launching the module. Available fields are :

  • rows: Selected pivot rows.

  • cols: Selected pivot columns.

  • target, combine target: Selected target and combine_target columns..

  • idc, combine_idc: Selected idc and combine_idc columns.

  • combine: Selected combine operator.

  • format_digit, format_prefix, format_suffix, format_sep_thousands, format_decimal: Selected formats for the table idc.

  • idcs: idcs to be displayed (list of named list), see the example to get the fields.

id

character. An ID string

app_colors

character. Vector of two colors c("#59bb28", "#217346") (borders)

app_linewidth

numeric. Borders width

Value

Nothing. Just Start a Shiny module.

Aliases
  • shinypivottabler
  • shinypivottablerUI
Examples
# NOT RUN {
if (interactive()) {
require(shinypivottabler)
require(shiny)

# demo app
runApp(system.file("demo_app", package = "shinypivottabler"))

# create artificial dataset
n <- 1000000
data <- data.frame("gr1" = sample(c("A", "B", "C", "D"), size = n,
                                 prob = rep(1, 4), replace = T),
                   "gr2" = sample(c("E", "F", "G", "H"), size = n,
                                 prob = rep(1, 4), replace = T),
                   "gr3" = sample(c("I", "J", "K", "L"), size = n,
                                 prob = rep(1, 4), replace = T),
                   "gr4" = sample(c("M", "N", "O", "P"), size = n,
                                 prob = rep(1, 4), replace = T),
                   "value1" = 1:n,
                   "value2" = n:1)

# Minimal example

ui = shiny::fluidPage(
  shinypivottablerUI(id = "id")
)

server = function(input, output, session) {
  shiny::callModule(module = shinypivottabler,
                    id = "id",
                    data = data)
}

shiny::shinyApp(ui = ui, server = server)



# Complete example

initialization <- list(
  "rows" = "gr1",
  "cols" = "gr2",
  "target" = "gr3",
  "combine_target" = "gr4",
  "idc" = "Count",
  "combine_idc" = "Count",
  "combine" = "/",
  "idcs" = c(
      list(
        c("label" = "Init_variable_1",
          "target" = "gr3", "idc" = "Count",
          "nb_decimals" = 0,
          "sep_thousands" = " ",
          "sep_decimal" = ".",
          "prefix" = "",
          "suffix" = "",
          "combine" = "/",
          "combine_target" = "gr4",
          "combine_idc" = "Count")
       ),
       list(
         c("label" = "Init_variable_2",
           "target" = "gr3", "idc" = "Count")
       )
     )
)

theme <- list(
  fontName="Courier New, Courier",
  fontSize="1em",
  headerBackgroundColor = "red",
  headerColor = "rgb(255, 255, 255)",
  cellBackgroundColor = "rgb(255, 255, 255)",
  cellColor = "rgb(0, 0, 0)",
  outlineCellBackgroundColor = "rgb(192, 192, 192)",
  outlineCellColor = "rgb(0, 0, 0)",
  totalBackgroundColor = "#59bb28",
  totalColor = "rgb(0, 0, 0)",
  borderColor = "rgb(64, 64, 64)"
)

ui = shiny::fluidPage(
  shinypivottablerUI(id = "id")
)

# we add two functions, one for quantitative variables (Q5) and
# one for qualitatives variables (the mode, with a custom function), and
# one possible combination (the modulo).
my_mode <- function(x) names(which.max(table(x)))

server = function(input, output, session) {
  shiny::callModule(module = shinypivottabler,
                    id = "id",
                    data = data,
                    pivot_cols = c("gr1", "gr2", "gr3", "gr4"),
                    additional_expr_num = list(
                      "Add_Q5" = "paste0('quantile(', target, ', probs = 0.05, na.rm = TRUE)')"
                    ),
                    additional_expr_char = list(
                      "Add_mode" = "paste0('my_mode(', target, ')')"
                    ),
                    additional_combine = c("Add_modulo" = "%%"),
                    theme = theme,
                    initialization = initialization)
}

shiny::shinyApp(ui = ui, server = server)

}
# }
Documentation reproduced from package shinypivottabler, version 1.0, License: GPL-3

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