Generate random samples from a Beta distribution

R/sdf_stat.R

sdf_rbeta

Description

Generator method for creating a single-column Spark dataframes comprised of i.i.d. samples from a Betal distribution.

Usage

sdf_rbeta( 
  sc, 
  n, 
  shape1, 
  shape2, 
  num_partitions = NULL, 
  seed = NULL, 
  output_col = "x" 
) 

Arguments

Arguments Description
sc A Spark connection.
n Sample Size (default: 1000).
shape1 Non-negative parameter (alpha) of the Beta distribution.
shape2 Non-negative parameter (beta) of the Beta distribution.
num_partitions Number of partitions in the resulting Spark dataframe (default: default parallelism of the Spark cluster).
seed Random seed (default: a random long integer).
output_col Name of the output column containing sample values (default: “x”).

See Also

Other Spark statistical routines: sdf_rbinom(), sdf_rcauchy(), sdf_rchisq(), sdf_rexp(), sdf_rgamma(), sdf_rgeom(), sdf_rhyper(), sdf_rlnorm(), sdf_rnorm(), sdf_rpois(), sdf_rt(), sdf_runif(), sdf_rweibull()