5.2.1 About the Exploratory Data Analysis Functions

The OML4R functions for exploratory data analysis are in the OREeda package.

Table 5-1 Functions in the OREeda Package

Function	Description
ore.corr	Performs correlation analysis across numeric columns in an ore.frame object.
ore.crosstab	Expands on the xtabs function by supporting multiple columns with optional aggregations, weighting, and ordering options. Building a cross-tabulation is a pre-requisite to using the ore.freq function.
ore.esm	Builds exponential smoothing models on data in an ordered ore.vector object.
ore.freq	Operates on output from the ore.crosstab function and automatically determines techniques that are relevant for the table.
ore.rank	Enables the investigation of the distribution of values along numeric columns in an ore.frame object.
ore.sort	Provides flexible sorting for ore.frame objects.
ore.summary	Provides descriptive statistics for ore.frame objects within flexible row aggregations.
ore.univariate	Provides distribution analysis of numeric columns in an ore.frame object of. Reports all statistics from the ore.summary function plus signed-rank test and extreme values.