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