Make an interactive pivot table — dtab.pivotr • radiant.data

Make an interactive pivot table

# S3 method for 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

if (FALSE) {
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)
}