summary.bootstrap.mat {analogue} | R Documentation |
summary
method for class "bootstrap.mat"
.
## S3 method for class 'bootstrap.mat': summary(object, ...)
object |
an object of class "bootstrap.mat" , usually the
result of a call to bootstrap.mat . |
... |
arguments passed to or from other methods. |
A data frame with the following components:
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 "y" , the
environment.residuals r.squared "y" .avg.bias max.bias rmse k |
bootstrap |
a list containing the bootstrap estimates for the
training set. With the following components:
estimated "y" .residuals "y" .r.squared "y" .avg.bias max.bias rmsep s1 s2 k |
sample.errors |
a list containing the bootstrap-derived sample
specific errors for the training set. With the following components:
rmsep s1 s2 |
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. |
call |
model type. |
predictions |
a list containing the apparent and
bootstrap-derived estimates for the new data, with the following
components:
observed newenv is provided.model apparent , above.
bootstrap bootstrap , above.sample.errors sample.errors , above. |
Gavin L. Simpson
## Not run: ## continue the RLGH example from ?join example(join) ## fit the MAT model using the squared chord distance measure swap.mat <- mat(swapdiat, swappH, method = "SQchord") ## bootstrap training set swap.boot <- bootstrap(swap.mat, k = 10, n.boot = 100) swap.boot summary(swap.boot) ## End(Not run)