Match the nearest neighbor from a redirected Cornerstone Robject dataset
(redirectDataset) to corresponding selected predictor variables.
Predictor variables from both datasets are supposed to be numeric to apply the Euclidean
distance calculated by dist2.
The function returns a dataset with the nearest neighbor to every observation, matched by
the predictor variables.
Available response, group, and auxiliary variables from the redirected datasets are passed
through, as well as, selected auxiliary variables.
The calculated distance is attached.
matchNearestNeighbor(
dataset = cs.in.dataset(),
preds = cs.in.predictors(),
auxs = cs.in.auxiliaries(),
robject = cs.in.Robject(),
return.results = FALSE
)[data.frame]
Dataset with named columns. The names correspond to predictors and responses.
[character]
Character vector of predictor variables.
[character]
Character vector of auxiliary variables.
[list]
Named list of one
redirectDataset
object(s) set via Cornerstone menu "Input R Objects".
[logical(1)]
If FALSE the function returns TRUE invisibly.
If TRUE, it returns a list of results.
Default is FALSE.
Logical [TRUE] invisibly and outputs to Cornerstone or,
if return.results = TRUE, list of
resulting data.frame objects:
Matched nearest neighbor which consists of predictor and available response, group, and auxiliary variables. The calculated distance is attached to this dataset.
Run times for every input R object.