bootstrapObject: Bootstrap object description

In analogue: Analogue and Weighted Averaging Methods for Palaeoecology

Bootstrap object description

Description

Objects of class bootstrap.mat are a complex containing many sub-components. This object is described here in more detail.

Details

A large object is returned with some or all of the following depending on whether newdata and newenv are supplied or not.

observed:

vector of observed environmental values.

model:

a list containing the apparent or non-bootstrapped estimates for the training set. With the following components:

estimated:

estimated values for the response

residuals:

model residuals

r.squared:

Apparent R^2 between observed and estimated values of response

avg.bias:

Average bias of the model residuals

max.bias:

Maximum bias of the model residuals

rmse:

Apparent error (RMSE) for the model.

k:

numeric; indicating the size of model used in estimates and predictions

bootstrap:

a list containing the bootstrap estimates for the training set. With the following components:

estimated:

Bootstrap estimates for the response

residuals:

Bootstrap residuals for the response

r.squared:

Bootstrap derived R^2 between observed and estimated values of the response

avg.bias:

Average bias of the bootstrap derived model residuals

max.bias:

Maximum bias of the bootstrap derived model residuals

rmsep:

Bootstrap derived RMSEP for the model

s1:

Bootstrap derived S1 error component for the model

s2:

Bootstrap derived S2 error component for the model

k:

numeric; indicating the size of model used in estimates and predictions

sample.errors:

a list containing the bootstrap-derived sample specific errors for the training set. With the following components:

rmsep:

Bootstrap derived RMSEP for the training set samples

s1:

Bootstrap derived S1 error component for training set samples

s2:

Bootstrap derived S2 error component for training set samples

weighted:

logical; whether the weighted mean was used instead of the mean of the environment for k-closest analogues

auto:

logical; whether "k" was choosen automatically or user-selected

n.boot:

numeric; the number of bootstrap samples taken

call:

the matched call

type:

model type

predictions:

a list containing the apparent and bootstrap-derived estimates for the new data, with the following components:

observed:

the observed values for the new samples — only if newenv is provided

model:

a list containing the apparent or non-bootstrapped estimates for the new samples. A list with the same components as model, above

bootstrap:

a list containing the bootstrap estimates for the new samples, with some or all of the same components as bootstrap, above

sample.errors:

a list containing the bootstrap-derived sample specific errors for the new samples, with some or all of the same components as sample.errors, above

Author(s)

Gavin L. Simpson

See Also

mat, plot.mat, summary.bootstrap.mat, residuals

analogue documentation built on June 25, 2025, 5:09 p.m.