nth_highest

The N-th highest value or N-th max. For example, k=2 yields
the second highest value. 
Note that k=1 gives the highest value aka the global max. Defaults to 1.


This function allows you to calculate the N-th highest number of a 
vector. In other words, it is the N-th max; it calculates the maximum 
after removing (n-1) higher numbers (maxes). 
Note that k=1 yields the traditional global maximum.


local

Global

Designed with a dual purpose of
accurately estimating the mode (or modes) as well as characterizing
the modality of data. The specific application area includes complex
or mixture distributions particularly in a big data environment.
The heterogeneous nature of (big) data may require deep introspective
statistical and machine learning techniques, but these statistical tools
often fail when applied without first understanding the data. In small
datasets, this often isn't a big issue, but when dealing with large scale
data analysis or big data thoroughly inspecting each dimension
typically yields an O(n^n-1) problem. As such, dealing with big data
require an alternative toolkit. This package not only identifies the
mode or modes for various data types, it also provides a programmatic
way of understanding the modality (i.e. unimodal, bimodal, etc.) of
a dataset (whether it's big data or not). See
<http://www.sdeevi.com/modes_package> for examples and discussion.

nth_highest: N-th Highest Value Function

Description

Usage

Arguments

Examples