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