removeDyads: Remove data for specified dyads from a dataframe

In ebmtnprof/rties: Modeling Interpersonal Dynamics

Remove data for specified dyads from a dataframe

Description

Useful for cleaning data if some dyads have extensive missing or otherwise problematic data. The function will automatically remove dyads where the two partners have an unequal number of observations or completely missing data. If this happens it provides a warning, prints the dyads that were removed and returns two lists (unEqual and dyadsMissing) with the dyad ids. In addition, you can 1) provide a vector of dyad IDs to remove, or 2) provide a time cut to remove dyads with fewer time points than the cutoff.

Usage

removeDyads(
  basedata,
  dyadId,
  dist_name,
  obs_name,
  dyadsToCut = NULL,
  timeCut = NULL
)

Arguments

basedata	A user provided dataframe.
dyadId	The variable in the dataframe specifying dyad ID.
dist_name	The name of the column in the dataframe that has a variable that distinguishes the partners (e.g., sex, mother/daughter, etc) that is numeric and scored 0/1.
obs_name	The name of the column in the dataframe that has the time-varying observable (e.g., the variable for which dynamics will be assessed).
dyadsToCut	A vector of dyad IDs to remove.
timeCut	The time value cutoff for removing dyads with fewer time points.

Value

A list with 1) a dataframe (basedata) with the data removed for dyads where the partners have unequal numbers of observations or completely missing data, any dyads specified by dyadsToCut, and dyads who had observations less than or equal to the timeCut value, 2) a list of the dyad IDs with unequal observations (unEqual) and 3) a list of the dyad IDs with completely missing observations (dyadsMissing).

Examples

data <- rties_ExampleDataShort
dyadsToCut <- c(3, 12)
newData <- removeDyads(basedata=data, dyadId="couple", obs_name="dial", dist_name="female", dyadsToCut=dyadsToCut, timeCut=10)

ebmtnprof/rties documentation built on Aug. 25, 2022, 7:47 p.m.