logical. Should missing values be removed before computing the coefficient of variation?

na_rm

Additional arguments to be passed to <code><a rd-options="" href="/link/mean?package=statip&version=0.2.3" data-mini-rdoc="statip::mean">mean</a>()</code>.

Compute the coefficient of variation of a numeric vector <code>x</code>, 
defined as the ratio between the standard deviation and the mean.

A collection of miscellaneous statistical functions for
probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for
the Bernoulli distribution, and 'distr2name()', 'name2distr()' for
distribution names;
probability density estimation: 'densityfun()';
most frequent value estimation: 'mfv()', 'mfv1()';
other statistical measures of location: 'cv()' (coefficient of variation),
'midhinge()', 'midrange()', 'trimean()';
construction of histograms: 'histo()', 'find_breaks()';
calculation of the Hellinger distance: 'hellinger()';
use of classical kernels: 'kernelfun()', 'kernel_properties()';
univariate piecewise-constant regression: 'picor()'.

Paul PONCET

statip

Statistical Functions for Probability Distributions and
Regression

Paul Poncet

The R Core Team 

The R Foundation 

Adrian Baddeley

cv function

Additional arguments to be passed to <code><a rd-options='' href='mean'>mean</a>()</code>.

cv: Coefficient of variation

Description

Usage

Arguments

Value

References