inst/demo_app/www/script/fct.md

In datastorm-open/shinypivottabler: Shiny Module to Create Pivot Tables

New functions

By default, you can compute Sum, Mean, Min, Max, Standard Deviation Median & Variance, Count and Count Distinct on quantitative variables and only Count and Count Distinct on qualitative variables.

And you can combine two indicatos using +, -, *, and /.

It's possible to add new functions with additional_expr_num (quantitative), additional_expr_char (qualitative) & additional_combine

additional_expr_num and additional_expr_char must be a named list with a specific definition in character using paste0, the function and the key word , target,.

Code

additional_expr_num = list(
  "Q5" = "paste0('quantile(', target, ', probs = 0.05, na.rm = TRUE)')"
)

getmode <- function(v) {
   uniqv <- unique(v)
   uniqv[which.max(tabulate(match(v, uniqv)))]
}

additional_expr_char = list(
"Mode" = "paste0('getmode(', target, ')')"
)

additional_combine = c("Modulo" = "%%")

# ui
ui = shiny::fluidPage(
  shinypivottablerUI(id = "id", 
    app_colors = c("#e6e6e6", "#430838"),
    app_linewidth = 3
  )
)

# server
server = function(input, output, session) {
  shiny::callModule(module = shinypivottabler,
                    id = "id",
                    show_title = FALSE,
                    theme = theme,
                    additional_expr_num = additional_expr_num,
                    additional_expr_char = additional_expr_char,
                    additional_combine = additional_combine,
                    data = data)
}

# more info in documentation : 
?shinypivottabler

datastorm-open/shinypivottabler documentation built on Jan. 14, 2023, 9:47 a.m.