analogue (version 0.10-0)

summary.bootstrap.mat: Summarise bootstrap resampling for MAT models

Description

summary method for class "bootstrap.mat".

Usage

## S3 method for class 'bootstrap.mat':
summary(object, \dots)

Arguments

object

an object of class "bootstrap.mat", usually the result of a call to bootstrap.mat.

...

arguments passed to or from other methods.

Value

• 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: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
• bootstrap
  a list containing the bootstrap estimates for the training set. With the following components: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
• sample.errors
  a list containing the bootstrap-derived sample specific errors for the training set. With the following components: [object Object],[object Object],[object Object]
• 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: [object Object],[object Object],[object Object],[object Object]

See Also

bootstrap.mat, mat, summary.

Examples

## 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)