matR (version 0.9.1)

distx: Calculate distances with optional grouping and other features

Description

Calculate several distances and dissimilarities with optional grouping, by default columnwise and pairwise, or from an optionally specified common point.

Usage

distx(x, ...)
# S3 method for matrix
distx(x, method=c("euclidean", "bray-curtis", "jaccard", "mahalanobis",
  "sorensen", "difference", "maximum", "manhattan", "canberra", "binary", "minkowski"), 
  groups=NULL, p=NULL, ..., bycol=TRUE)
# S3 method for biom
distx(x, method="euclidean", groups=NULL, ..., bycol=TRUE)

Arguments

x

a matrix-like object (matrix or biom)

method

name of distance or dissimilarity measure (character)

groups

a grouping of columns/rows (character or factor)

p

a single column/row (numeric)

…

unused

bycol

compute columnwise rather than rowwise? (logical)

Value

Complete technical documentation is forthcoming. For the current preliminary release, please refer to the examples provided.

Details

Complete technical documentation is forthcoming. For the current preliminary release, please refer to the examples provided.

See Also

stats::dist, ecodist::distance

Examples

# NOT RUN {
####  Euclidean distance between samples based on raw counts
distx (xx1)

####  alternate dissimilarity measure
distx (xx1, method="bray-curtis")

####  distance in log-transformed data
distx (transform (xx2, t_Log))

####  mean pairwise distance between biomes
distx (xx3, groups="$$biome", method="bray-curtis")
# }