bootstrapObject {analogue}R Documentation

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


[Package analogue version 0.6-6 Index]