get_all_distances: Return distance/similarity metric for each row in a dataframe

In UBC-MDS/distrrr: Calculate Distance Metrics Between Vectors

Description

Compares an input reference vector (point) to all rows of an input data frame, calculating the specified distance/similarity metric for each row.

Usage

get_all_distances(point, data, metric = "euclidean")

Arguments

point	vector of length k to compare to the data frame
data	data frame of size n by k to compare ref_vec to
metric	string, default value "euclidean" for euclidean distance, "cosine" will return cosine similiarity distance, and "manhattan" will return manhattan distance

Value

numeric vector of length n

Examples

df <- data.frame("A" = c(1,2,3), "B" = c(8,2,4))
ref_vec <- c(-2,4)
get_all_distances(ref_vec, df, metric = "euclidean")

UBC-MDS/distrrr documentation built on May 6, 2019, 12:07 p.m.