stats_bootstrap

A <code><a rd-options="" href="/link/function?package=tabula&version=1.6.0" data-mini-rdoc="tabula::function">function</a></code> that takes <code>x</code> as an argument
and returns a single numeric value.

A <code><a rd-options="" href="/link/numeric?package=tabula&version=1.6.0" data-mini-rdoc="tabula::numeric">numeric</a></code> vector of probabilities with values in
\([0,1]\) (see <code><a rd-options="stats:quantile" href="/link/quantile?package=tabula&version=1.6.0&to=stats%3Aquantile" data-mini-rdoc="stats:quantile::quantile">quantile</a></code>).

probs

A non-negative <code><a rd-options="" href="/link/integer?package=tabula&version=1.6.0" data-mini-rdoc="tabula::integer">integer</a></code> giving the number of bootstrap
replications.

A <code><a rd-options="" href="/link/logical?package=tabula&version=1.6.0" data-mini-rdoc="tabula::logical">logical</a></code> scalar: should missing values be removed
from <code>x</code> before the quantiles are computed?

na.rm

Extra arguments passed to <code>do</code>.

internal

An easy way to examine archaeological count data. This package
provides a convenient and reproducible toolkit for relative and absolute
dating and analysis of (chronological) patterns. It includes functions for
matrix seriation (reciprocal ranking, CA-based seriation), chronological
modeling and dating of archaeological assemblages and/or objects.
Beyond these, the package provides several tests and measures of diversity:
heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.),
richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.),
turnover and similarity (Brainerd-Robinson, etc.).
The package make it easy to visualize count data and statistical thresholds:
rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.

Nicolas Frerebeau

tabula

Analysis, Seriation and Visualization of Archaeological Count
Data

Brice Lebrun

Matthew Peeples

Ben Marwick

Anne Philippe

Jean-Baptiste Fourvel

stats_bootstrap function

A <code><a rd-options='' href='function'>function</a></code> that takes <code>x</code> as an argument
and returns a single numeric value.

A <code><a rd-options='' href='numeric'>numeric</a></code> vector of probabilities with values in
\([0,1]\) (see <code><a rd-options='stats:quantile' href='quantile'>quantile</a></code>).

A non-negative <code><a rd-options='' href='integer'>integer</a></code> giving the number of bootstrap
replications.

A <code><a rd-options='' href='logical'>logical</a></code> scalar: should missing values be removed
from <code>x</code> before the quantiles are computed?

stats_bootstrap: Bootstrap Estimation

Description

Usage

Arguments

Value