calc_dyadic_rates_mymg: Calculate dyadic rates of interactions for several groups and...
In urskalbitzer/daginR: Analyses of Monkey Data from Scan and Focal Samples

Description Usage Arguments

Based on calc_dyadic_rates but works for several groups and years. Thus, function calculates rates of interactions for all female dyads meeting specific criteria (age, focal effort) within each of the specified groups and years.

calc_dyadic_rates_mymg(
  focaldata,
  census_pace,
  biography_pace,
  groups,
  years,
  minAgeF,
  behaviours_duration,
  behaviours_events,
  minEffortDyad,
  minEffortInd,
  roles_included = c("D", "R", "M"),
  dyads_summarized = TRUE
)

`focaldata`	Dataset with focaldata from capuchin monkeys
`census_pace`	Dataframe from the PACE database with monthly capuchin census data
`biography_pace`	Dataframe from the PACE database with individual biography data
`groups`	Vector with all social groups to be included
`years`	Vector will all years to be included
`minAgeF`	The minimum age of females to be included (in years)
`behaviours_duration`	Behaviours with duration (e.g. grooming) to be included
`minEffortDyad`	Minimum duration (in hours) a dyad has to be observed to be included (observation time of IndA while IndB was around + observation time IndB while IndA was around)
`minEffortInd`	The minimum duration (in hours) an individual has to be observed to be included
`roles_included`	Which roles should be included, e.g., (D)irected, (R)eceived, or (M)utual
`dyads_summarized`	Should dyadic values be summarized? If FALSE, each behavior will be listed as IndA->IndB and as IndB->IndA separately (per dyad and per role)