spark_statistical_routines: Generate random samples from some distribution
In sparklyr: R Interface to Apache Spark
spark_statistical_routines R Documentation
Generate random samples from some distribution
Description
Generator methods for creating single-column Spark dataframes comprised of
i.i.d. samples from some distribution.
Arguments
sc
A Spark connection.
n
Sample Size (default: 1000).
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").
sparklyr documentation built on May 29, 2024, 2:58 a.m.
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| spark_statistical_routines | R Documentation |
Generate random samples from some distribution
Description
Generator methods for creating single-column Spark dataframes comprised of i.i.d. samples from some distribution.
Arguments
sc |
A Spark connection. |
n |
Sample Size (default: 1000). |
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"). |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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