normalize

Normalize a vector by subtracting off central point and dividing by range

Functions for fitting GEV and POT (via point process fitting)
models for extremes in climate data, providing return values, return
probabilities, and return periods for stationary and nonstationary models.
Also provides differences in return values and differences in log return
probabilities for contrasts of covariate values. Functions for estimating risk
ratios for event attribution analyses, including uncertainty. Under the hood,
many of the functions use functions from 'extRemes', including for fitting the
statistical models. Details are given in Paciorek, Stone, and Wehner (2018)
<doi:10.1016/j.wace.2018.01.002>.

Christopher Paciorek

climextRemes

Tools for Analyzing Climate Extremes

Harinarayan Krishnan

normalize function

<dl><dt>vec</dt>
<dd>vector of values</dd>
<dt>shift</dt>
<dd>optional central point (if not provided, uses the mean of <code>vec</code>)</dd>
<dt>lower</dt>
<dd>optional lower end point of range (if not provided uses min of <code>vec</code>)</dd>
<dt>upper</dt>
<dd>optional upper end point of range (if not provided uses max of <code>vec</code>)</dd></dl>

Arguments

Normalize a vector — normalize

<dl>

<dt>vec</dt>
<dd>vector of values</dd>


<dt>shift</dt>
<dd>optional central point (if not provided, uses the mean of <code>vec</code>)</dd>


<dt>lower</dt>
<dd>optional lower end point of range (if not provided uses min of <code>vec</code>)</dd>


<dt>upper</dt>
<dd>optional upper end point of range (if not provided uses max of <code>vec</code>)</dd>

</dl>

normalize: Normalize a vector

Description

Usage

Arguments