Make an interactive pivot table

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

...

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) }