get_group_by_individual

0th

Percentile

Convert group or individual data into a group by individual matrix

Converts several different types of data storage into a group by individual matrix for calculating or permuting networks

Usage
get_group_by_individual(association_data, identities = NULL, 
location = NULL, data_format = c("groups", "individuals"))
Arguments
association_data

Can be either a group by individual matrix or a list containing group members in each element

identities

Optional identities for each individual in the dataset

location

Returns these spatial locations for each group

data_format

Format of the input data

Details

This function will calculate an K x N matrix representing K groups and N individuals. If locations are included, these will be returned in the row names.

Value

Returns a K x N matrix, where each K row is an group defined from the input data. Column names of the matrix are given the identity where available. The K row names are given either the time or time_location for each group.

Aliases
  • get_group_by_individual
Examples
# NOT RUN {
## define group memberships (these would be read from a file)
individuals <- data.frame(ID=c("C695905","H300253","H300253",
	"H300283","H839876","F464557","H300296","H300253",
	"F464557","H300296","C695905","H300283","H839876"),
	GROUP=c(1,1,2,2,2,3,3,4,5,5,6,6,6))

## create a time column
individuals <- cbind(individuals,
	DAY=c(1,1,1,1,1,2,2,2,3,3,3,3,3))

gbi <- get_group_by_individual(individuals, 
	data_format="individuals")
	
## define group memberships (these would be read from a file)
groups <- list(G1=c("C695905","H300253"),
	G2=c("H300253","H300283","H839876"),
	G3=c("F464557","H300296"),
	G4=c("H300253"),
	G5=c("F464557","H300296"),
	G6=c("C695905","H300283","H839876"))

## create a time variable
days <- c(1,1,2,2,3,3)

gbi <- get_group_by_individual(groups, 
	data_format="groups")

# }
Documentation reproduced from package asnipe, version 1.1.11, License: GPL-2

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