findKNN: calculates an approximate KNN for sourceDf entries in...

In terminological/tidy-info-stats: Functions for manipulating information statistics

calculates an approximate KNN for sourceDf entries in targetDf entries

Description

relise on RANN library for actual calculation. Simply reformats the results into a mapping table format

Usage

findKNN(
  sourceDf,
  targetDf,
  sourceIdVar,
  targetIdVar,
  k = 4,
  matchVars = vars(long, lat),
  distanceVar = "distance",
  rankVar = "rank",
  ...
)

Arguments

sourceDf	a dataframe with a unique Id column
targetDf	a dataframe with a unique Id column
sourceIdVar	the unique Id column of the sourceDf
targetIdVar	the unique Id column of the targetDf
k	the k of knn
matchVars	the columns to calculate the distance on - must be numerics and present in both sourceDf and targetDf, escaped by vars(...)
distanceVar	what will the distance measure be named?
...	other parameters passed onto RANN::nn2()

Value

a dataframe containing sourceIdVar, targetIdVar, distanceVar and k columns

terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.