gen_table: Generate synthetic tabular data

In clarkfitzg/RDataBenchmarks: Experiments evaluating the performance of different data processing techniques in R

Description

Generate synthetic tabular data

Usage

gen_table(n, p = 10, fname = default_csv_file(), MB = 100,
  sampler = function(n) signif(runif(n)), group_probs = rep(0.1, 10),
  prepend_group_column = TRUE, column_names = paste0("col", seq(p)),
  group_column_name = "g", writer = data.table::fwrite, ...)

Arguments

n	number of rows. Specify only one of n or MB.
p	number of columns
fname	name of the file to save
MB	size of the data in MB. An integer group column will make this a little smaller.
sampler	function that creates random observations
prepend_group_column	whether to include a
writer	function to save generated data. Must have signature (data, fname, ...)
...	arguments to writer

Value

d generated data that was written to fname

clarkfitzg/RDataBenchmarks documentation built on June 29, 2019, 11:38 p.m.