summary.mat {analogue} | R Documentation |
summary
method for class "mat"
.
## S3 method for class 'mat' summary(object, k = 10, digits = max(2, getOption("digits") - 4), ...)
object |
an object of class |
k |
numeric; maximum modern analogues to use to summarise model fits. |
digits |
numeric; the number of significant digits with which to format results. |
... |
arguments passed to or from other methods. |
A list with the components below. The number of analogues used,
k is returned as attribute "k"
.
summ |
a data.frame containing the model fits for training set samples. See notes below. |
tbl |
matrix of summary statistics for an un-weighted model. |
tbl.W |
matrix of summary statistics for a weighted model. |
call |
the matched function call |
quantiles |
the quantiles of the distribution of pairwise
dissimilarities for the training set, for |
The returned component "summ"
contains the following:
the observed responses for the training set samples.
the fitted values of the response for training set samples based on the average of k-closest analogues.
the residuals of the fitted model based on the average of k-closest analogues.
the fitted values of the response for training set samples based on the weighted average of k-closest analogues.
the residuals of the fitted model based on the weighted average of k-closest analogues.
dissimilarity of closest analogue in training set for each training set sample.
smallest residual for an un-weighted model of size
"k"
.
size of model leading to minimal residual,
"minResi"
.
smallest residual for a weighted model of size
"k.W"
.
size of model leading to minimal residual,
"minW.Resi"
.
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") swap.mat ## model summary summary(swap.mat) ## model summary - evaluating models using k = 1, ..., 20 ## analogues instead of the default, 10. summary(swap.mat, k = 20) ## End(Not run)