newadult

This data set is adapted from
the Adult data from the UCI Machine Learning Repository,
which was in turn adapted from Census data on adult incomes and other 
demographic variables. The UCI data is used here with permission 
from Ronny Kohavi.The variables are:<ul>
<li> <code>gt50</code>, which converts the original <code>>50K</code> variable
 to an indicator variable; 1 for income greater than $50,000, else 0</li></ul> 
<li> <code>edu</code>, which converts a set of education levels to
 approximate number of years of schooling</li> 
<li> <code>age</code></li> 
<li> <code>gender</code>, 1 for male, 0 for female</li> 
<li> <code>mar</code>, 1 for married, 0 for single
</li>

Miscellaneous utilities for the 'parallel' package,
cluster-oriented section; "Snowdoop" alternative to MapReduce;
file splitting and distributed operations such as sort and aggregate.
"Software Alchemy" method for parallelizing most statistical methods,
presented in N. Matloff, Parallel Computation for Data Science,
Chapman and Hall, 2015.  Includes a debugging aid.

newadult: UCI adult income data set, adapted

Description

Usage

Arguments