knn_lookup: Find nearest neighbour

In rossklin/flanner: Approximate nearest neighbours queries

Description

Lookup nearest neighbours data in a data.frame.

Usage

knn_lookup(df, points, k, ignore.colnames = FALSE, square.distance = TRUE,
  df.cols = NULL, points.cols = NULL, distance.name = "distance")

Arguments

df	data.frame, preferably indexed using flanner, in which to look for neighbours
points	data.frame containing coordinates to lookup neighbours of
k	number of neighbours to find
ignore.colnames	whether to interpret points by column numbers of column names (defaults to the latter)
square.distance	whether to return distances squared (default, which is faster)
df.cols	columns from df to return (defaults to all)
points.cols	columns from points to return (defaults to any not used for lookup) c() for none
distance.name	column name containing distances in result, NULL to not include

Details

The returned data frame contains all columns specified in df.cols and pointer.cols as well as a column with distances if distance.name is non-null.

rossklin/flanner documentation built on May 27, 2019, 11:39 p.m.