knn_tools: helpers for tree list imputation, knn

In jstrunk001/RForInvt: Forest Inventory Data Compilation and FVS Growth Projections

helpers for tree list imputation, knn

Description

Series of helpers which in combination with the package yaImpute can be used to perform tree-list imputation.

Usage

yai_id(
  xNms = NULL,
  yNms = NULL,
  idNm = NULL,
  data = NULL,
  omity = NULL,
  dup_ids_remove = T,
  ...
)

newtargets_id(yai_mod, idNm, data, k = NULL, ann = NULL)

impute_id(newtargs_id, ...)

yai_weights(
  yaimod,
  dtype = c("invdist", "invdist2", "eq"),
  zero_dist = c("small", "min", "NA")
)

tl_impute(
  wts,
  idNm,
  cols_knn_id = "col_id",
  cols_knn_wt = "col_wt",
  trees,
  sort_targets = F,
  debug = F
)

tl_impute_2(
  wts,
  idNm,
  cols_knn_id = "col_id",
  cols_knn_wt = "col_wt",
  trees,
  debug = F
)

yai_cv(
  omit = 5,
  idNm,
  xNm,
  yNm,
  pdNm = NA,
  data,
  iter_max = 500,
  k = 5,
  debug = FALSE,
  method = "msn",
  min_rows = 15,
  method_impute = c("closest", "mean", "median", "dstWeighted"),
  ...
)

Arguments

idNm	name of id field
data	input data
omity	optional: records to omit
...	other arguments to ??
yai_mod	model returned by yai_id
k	?number of neighbors?
ann	T/Fsee yai documentation impute_id() parameters:
newtargs_id	?
yaimod	model returned by yai_id
dtype	distance type
wts	weights from ?
cols_knn_id	col names of knn ids
cols_knn_wt	col names of knn wts
debug	T/F
omit	observation to omit at time i
yNm	?names of response fields
iter_max	number of iterations max
method	? distance approach?
id_x	vector of auxiliary variable column names led by id variable
id_y	vector of response variable column names led by id variable
id	id column
zero_dist()	how to deal with zero distances (e.g. when everything is zero) tl_impute parameters:
env	environment with weights in it
tr_pl	tree records
x	?
max_comb	??

Details

yaImpute has some funkiness (e.g using row names as an ID field... bad...) and cannot support tree list imputation. The functions here facilitate that process

yai_id: Update of yai that replaces row names with record ids newtargets_id: wrapper for newtargets that handles yai_id object impute_id: impute response values to target locations - wrapper for 'impute()' in yaImpute handles id field more explicitly yai_weights: Get weights associated with imputation objects tl_impute: function to impute tree list based on knn model fitted between aerial attributes yai_cv: peform crossvalidation on knn model

This program is free software but it is provided WITHOUT WARRANTY and with ABSOLUTELY NO GUARANTEE of fitness or functionality for any purpose; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

Revision History

1.0	2014 July 04 Import from Jacob's R Library
1.0	2015 Jan 06 Add roxygen header

Value

yai_id:
newtargets_id:
impute_id:
yai_weights:
tl_impute:
yai_cv:

Author(s)

Jacob Strunk <[e-mail]>

See Also

yaImpute
fit_pdf

Examples

<Delete and Replace>

jstrunk001/RForInvt documentation built on April 17, 2025, 5:02 p.m.