Generate random samples from a chi-squared distribution

R/sdf_stat.R

sdf_rchisq

Description

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

Usage

sdf_rchisq(sc, n, df, num_partitions = NULL, seed = NULL, output_col = "x") 

Arguments

Arguments Description
sc A Spark connection.
n Sample Size (default: 1000).
df Degrees of freedom (non-negative, but can be non-integer).
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_rbeta(), sdf_rbinom(), sdf_rcauchy(), sdf_rexp(), sdf_rgamma(), sdf_rgeom(), sdf_rhyper(), sdf_rlnorm(), sdf_rnorm(), sdf_rpois(), sdf_rt(), sdf_runif(), sdf_rweibull()