pivotr {radiant.data}

Create a pivot table

Description

Create a pivot table

Usage

pivotr(
  dataset,
  cvars = "",
  nvar = "None",
  fun = "mean",
  normalize = "None",
  tabfilt = "",
  tabsort = "",
  tabslice = "",
  nr = Inf,
  data_filter = "",
  arr = "",
  rows = NULL,
  envir = parent.frame()
)

Arguments

dataset

Dataset to tabulate

cvars

Categorical variables

nvar

Numerical variable

fun

Function to apply to numerical variable

normalize

Normalize the table by row total, column totals, or overall total

tabfilt

Expression used to filter the table (e.g., "Total > 10000")

tabsort

Expression used to sort the table (e.g., "desc(Total)")

tabslice

Expression used to filter table (e.g., "1:5")

nr

Number of rows to display

data_filter

Expression used to filter the dataset before creating the table (e.g., "price > 10000")

arr

Expression to arrange (sort) the data on (e.g., "color, desc(price)")

rows

Rows to select from the specified dataset

envir

Environment to extract data from

Details

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

Examples

pivotr(diamonds, cvars = "cut") %>% str()
pivotr(diamonds, cvars = "cut")$tab
pivotr(diamonds, cvars = c("cut", "clarity", "color"))$tab
pivotr(diamonds, cvars = "cut:clarity", nvar = "price")$tab
pivotr(diamonds, cvars = "cut", nvar = "price")$tab
pivotr(diamonds, cvars = "cut", normalize = "total")$tab