find_breaks

integer or character. The suggested number of bins. 
Either a positive integer, or a character string naming a rule: 
<code>"Scott"</code> (the default) or <code>"Freedman-Diaconis"</code> or <code>"FD"</code>. 
(Case is ignored.)

nbins

numeric. The bin width, a strictly positive number 
(takes precedence over nbins).

numeric. Shift for the bins - 
the breaks are at <code>x0 + h * (..., -1, 0, 1, ...)</code>.

The function <code>find_breaks()</code> isolates a piece of code of 
the function <code><a rd-options="MASS" href="/link/truehist?package=statip&version=0.2.3&to=MASS" data-mini-rdoc="MASS::truehist">truehist</a>()</code> from package MASS 
that is used to compute the set of breakpoints to be applied for the 
construction of the histogram.

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

find_breaks function

The function <code>find_breaks()</code> isolates a piece of code of 
the function <code><a rd-options='MASS' href='truehist'>truehist</a>()</code> from package MASS 
that is used to compute the set of breakpoints to be applied for the 
construction of the histogram.

find_breaks: Breakpoints to be passed to a Histogram

Description

Usage

Arguments

Value

See Also