bor (version 0.1.0)

countb: countb

Description

countb takes a data frame with dyadic social interactions' data (akin to that returned by dtable function) and returns a list of asymmetric data matrices- one for each observer and type of social interaction. Each matrix cell provides counts on the number of times a specific type of social interaction was initiated by the row subject and directed to the column subject.

Usage

countb(x)

Arguments

x

A data frame with 7 columns: the 1st column should refer to the focal subject's identification code (e.g., column named "id1" as in the output of dtable function); the 2nd column should refer to the identification code of the interaction partner (e.g., "id2"); the 3rd column (e.g., "sender_id1") should refer whether the focal subject was the initiator (coded 1) or the target of the social interaction (coded 0); the 4th column should refer to the type/code of social interaction recorded; the 5th column (e.g., "no_occurrence") should refer whether no social interactions were recorded (coded as 1; NA's otherwise); the 6th column (e.g., "missing") should refer whether the focal subject was unavailable for observation (coded as 1; NA's otherwise); the 7th columns (e.g., "observer") should refer to the observer's identification code.

Value

countb returns a list with asymmetric matrices, one for each observer and type of social interaction recorded. Matrix cells provide counts on the number of times social interactions were initiated by the row subjects and directed to the column subjects.

Examples

# NOT RUN {
## create list of asymmetric matrices (data2) from data object
## data object is obtained by converting raw focal observations' data in ex_field_data with
## dtable function
 b <- c("+","-")
 data <- dtable(ex_field_data, bset = b)
 data2 <- countb(data)
 data2
# }