jackknife: Jackknife Estimation

In tabula: Analysis and Visualization of Archaeological Count Data

Jackknife Estimation

Description

Jackknife Estimation

Usage

## S4 method for signature 'DiversityIndex'
jackknife(object, f = NULL)

Arguments

object	An R object (typically a DiversityIndex object).
f	A function that takes a single numeric vector (the leave-one-out values of do) as argument.

Value

If f is NULL (the default), jackknife() returns a named numeric vector with the following elements:

original

The observed value of do applied to object.

mean

The jackknife estimate of mean of do.

bias

The jackknife estimate of bias of do.

error

he jackknife estimate of standard error of do.

If f is a function, jackknife() returns the result of f applied to the leave-one-out values of do.

Author(s)

N. Frerebeau

See Also

Other resampling methods: bootstrap_diversity, resample()

Examples

## Data from Conkey 1980, Kintigh 1989
data("cantabria")

## Shannon diversity index
(h <- heterogeneity(cantabria, method = "shannon"))

## Bootstrap resampling
bootstrap(h, f = NULL)

bootstrap(h, f = summary)

quant <- function(x) quantile(x, probs = c(0.25, 0.50))
bootstrap(h, f = quant)

## Jackknife resampling
jackknife(h)

bootstrap(h, f = summary)

tabula documentation built on Aug. 22, 2023, 5:11 p.m.