Description Usage Arguments Details
View source: R/distance_functions.r
rdist
provide a common framework to calculate distances. There are three main functions:
rdist
computes the pairwise distances between observations in one matrix and returns a dist
object,
pdist
computes the pairwise distances between observations in one matrix and returns a matrix
, and
cdist
computes the distances between observations in two matrices and returns a matrix
.
In particular the cdist
function is often missing in other distance functions. All
calculations involving NA
values will consistently return NA
.
1 2 3 4 5 |
X, Y |
A matrix |
metric |
The distance metric to use |
p |
The power of the Minkowski distance |
Available distance measures are (written for two vectors v and w):
"euclidean"
: sqrt(sum_i((v_i - w_i)^2))
"minkowski"
: (sum_i(|v_i - w_i|^p))^{1/p}
"manhattan"
: sum_i(|v_i-w_i|)
"maximum"
or "chebyshev"
: max_i(|v_i-w_i|)
"canberra"
: sum_i(|v_i-w_i|/(|v_i|+|w_i|))
"angular"
: arccos(cor(v, w))
"correlation"
: sqrt((1-cor(v, w))/2)
"absolute_correlation"
: sqrt((1-|cor(v, w)|^2))
"hamming"
: sum_i(v_i != w_i)/sum_i(1)
"jaccard"
: sum_i(v_i != w_i)/sum_i(v_i != 0 or w_i != 0)
Any function that defines a distance between two vectors.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.