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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
quantile This page provides insights into the concept of 'Quantile' and how it's used for dividing a distribution. It includes parameter details such as n_window and f_quantile and usage information with Python.
quantile
distribution
median
n_window
f_quantile
observations

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

The quantiles are values which divide the distribution such that there is a given proportion of observations below the quantile. For example, the median is a quantile. The median is the central value of the distribution, such that half the points are less than or equal to it and half are greater than or equal to it. By default, q is set at 0.5, which effectively is median. Change q to get the desired quantile (0q1).

Usage

quantile [-w N_WINDOW] [-q F_QUANTILE]

Parameters

Name Description Default Optional Choices
n_window window length 14 True None
f_quantile quantile 0.5 True None

quantile