A cost computation function for Neighborhood algorithm

Share:

Description

A cost computation function for Neighborhood algorithm

Usage

1
2
neighborhood_sortingcost(expr = NULL, sigma_width = 1,
  method = c("Euclidean", "Correlation", "eJaccard", "none"))

Arguments

expr

An expresssion matrix containing n-rows of cells and m-cols of genes.

sigma_width

An integer number determining the degree of spread of the gaussian distribution which is used for computing weight matrix for Neighborhood sorting method.

method

A character string indicating the distance function.

Value

A numeric value of sorting cost.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
set.seed(15)
da <- iris[sample(150, 150, replace = FALSE), ]
d <- da[,1:4]
randomOrdering_cost <- neighborhood_sortingcost(d, method= 'Euclidean')
randomOrdering_cost

da <- iris
d <- da[,1:4]
properOrdering_cost <- neighborhood_sortingcost(d, method= 'Euclidean')
properOrdering_cost

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.