dist_matr: dist.matr

In CRC1266-A2/moin: Modelling Interactions

Description

n Dimensional Distance Matrix

Usage

dist_matr(type_spectra, method = "euclidean")

Arguments

type_spectra	a dataframe containing node compositions
method	character string, the distance measure to be used ("euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski")

Details

Creates an n dimensional bidirectional distance matrix from a dataframe. If a measure of cultural distance is desired, the data should be structured with a node identifier, followed by the typespectra collums.

Value

symmetrical distance matrix

Author(s)

Oliver Nakoinz <[e-mail]>

Franziska Faupel <[e-mail]>

Georg Roth <[e-mail]>

Examples

set.seed(1234)

nodes <- data.frame(nodes_x = sample(3433806:3581396, 10, replace = TRUE),
               nodes_y = sample(5286004:5484972, 10, replace = TRUE), 
               nodes_id = c(1:10))
features <- data.frame(x = sample(3433806:3581396, 100, replace = TRUE),
                   y = sample(5286004:5484972, 100, replace = TRUE),
                   type = paste0("B", c(rep(1, 5), rep(2,15), sample(11:19, 20, replace = TRUE), 
                   sample(111:119, 30, replace = TRUE), sample(1111:1115, 30, replace = TRUE)))
                   ) 
aggr_fea <- aggr_fea_voro(nodes, features, "type")
typelist <- create_type_generator(features, "type", 1)

type_spectra <- create_typespectra(aggr_fea, typelist) 

distancematrix <- dist_matr(type_spectra, method = "euclidean")

CRC1266-A2/moin documentation built on May 7, 2019, 8:56 p.m.