dtab.pivotr: Make an interactive pivot table

In radiant-rstats/radiant.data: Data Menu for Radiant: Business Analytics using R and Shiny

Make an interactive pivot table

Description

Make an interactive pivot table

Usage

## S3 method for class 'pivotr'
dtab(
  object,
  format = "none",
  perc = FALSE,
  dec = 3,
  searchCols = NULL,
  order = NULL,
  pageLength = NULL,
  caption = NULL,
  ...
)

Arguments

object	Return value from pivotr
format	Show Color bar ("color_bar"), Heat map ("heat"), or None ("none")
perc	Display numbers as percentages (TRUE or FALSE)
dec	Number of decimals to show
searchCols	Column search and filter
order	Column sorting
pageLength	Page length
caption	Table caption
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/data/pivotr.html for an example in Radiant

See Also

pivotr to create the pivot table

summary.pivotr to print the table

Examples

## Not run: 
pivotr(diamonds, cvars = "cut") %>% dtab()
pivotr(diamonds, cvars = c("cut", "clarity")) %>% dtab(format = "color_bar")
pivotr(diamonds, cvars = c("cut", "clarity"), normalize = "total") %>%
  dtab(format = "color_bar", perc = TRUE)

## End(Not run)

radiant-rstats/radiant.data documentation built on Jan. 19, 2024, 12:21 p.m.