ith_mbl_neighbor: An iterator for local prediction data in mbl
In resemble: Memory-Based Learning in Spectral Chemometrics

ith_mbl_neighbor

R Documentation

An iterator for local prediction data in mbl

Description

internal function. It collects only the data necessary to execute a local prediction for the mbl function based on a list of neighbors. Not valid for local dissmilitary (e.g. for ortho_diss(...., .local = TRUE))

Usage

ith_mbl_neighbor(
  Xr,
  Xu = NULL,
  Yr,
  Yu = NULL,
  diss_usage = "none",
  neighbor_indices,
  neighbor_diss = NULL,
  diss_xr_xr = NULL,
  group = NULL
)

Arguments

`Xr`	the Xr matrix in mbl.
`Xu`	the Xu matrix in mbl. Default `NULL`. If not provided, the function will iterate for each `{Yr, Xr}` to get the respective neighbors.
`Yr`	the Yr matrix in mbl.
`Yu`	the Yu matrix in mbl. Default `NULL`.
`diss_usage`	a character string indicating if the dissimilarity data will be used as predictors ("predictors") or not ("none").
`neighbor_indices`	a matrix with the indices of neighbors of every Xu found in Xr.
`neighbor_diss`	a matrix with the dissimilarity socres for the neighbors of every Xu found in Xr. This matrix is organized in the same way as `neighbor_indices`.
`diss_xr_xr`	a dissimilarity matrix between sampes in Xr.
`group`	a factor representing the group labels of Xr.

Details

isubset will look at the order of knn in each col of D and re-organize the rows of x accordingly

Value

an object of class iterator giving the following list:

ith_xr: the Xr data of the neighbors for the ith observation (if diss_usage = "predictors", this data is combined with the local dissmilarity scores of the neighbors of Xu (or Xr if Xu was not provided))
ith_yr: the Yr data of the neighbors for the ith observation
ith_xu: the ith Xu observation (or Xr if Xu was not provided). If diss_usage = "predictors", this data is combined with the local dissmilarity scores to its Xr neighbors.
ith_yu: the ith Yu observation (or Yr observation if Xu was not provided).
ith_neigh_diss: the dissimilarity scores of the neighbors for the ith observation.
ith_group: the group labels for ith_xr.
n_k: the number of neighbors.