get_group_by_individual {asnipe} | R Documentation |
Converts several different types of data storage into a group by individual matrix for calculating or permuting networks
get_group_by_individual(association_data, identities = NULL, location = NULL, data_format = c("groups", "individuals"))
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 |
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.
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.
Damien R. Farine
## 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")