bor (version 0.1.0)

dtable: dtable

Description

dtable takes a data frame containing raw focal observations' data and transforms it into another data frame more suitable for further data analysis.

Usage

dtable(x, bset, bsep = ".", asep = ";", missing = "x", noc = "0")

Arguments

x

data frame containing raw focal observations' data, referring to dyadic social interactions. This data frame should contain one focal observation per row and 3 columns. The first column should refer to focal's subject identification code; the second, to the recorded dyadic social interactions; and the third, to observer's identification code. See ex_field_data for further details on the structure of this data frame.

bset

A vector specifying the codes of the recorded social interactions.

bsep

The separation character used in the second column of x to separate subject's id code from social interactions code. Default is ".".

asep

The separation character used in the second column of x to separate different social interactions recorded within the same focal sample. Default is ";".

missing

A character, used in the second column of x, to identify focal observations where the focal subject was unavailable for observation. Default is "x".

noc

A character, used in the second column of x, to identify focal observations where no social interactions were recorded. Default is "0".

Value

dtable returns a data frame with 7 columns: "id1" identifies the focal subject's; "sender_id1" identifies whether the focal's subject (id1) was the initiator of the dyadic social interaction (coded 1), or the target of the social interaction (coded 0; in this case the initiator is the subject referred in the column "id2"); "behavior" identifies the social interaction observed; if no social interactions were recorded in a focal sample, "no_occurrence" and "missing" columns specify whether the focal subject was observed but did not interact, or was unavailable for observation, respectively; "observer" columns identifies the observer.

Examples

# NOT RUN {
## convert raw focal observations' data in ex_field_data
## see ?ex_field_data for further details
## bsep, asep, missing and noc arguments take default values (".", ";", "x", "0" respectively)
b <- c("+","-")
data <- dtable(ex_field_data, bset = b)
head(data)
# }