RDS: impute.degree – R documentation

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RDS

impute.degree

Imputes missing degree values

Description

Imputes missing degree values

Usage

impute.degree(
  rds.data,
  trait.variable = NULL,
  N = NULL,
  method = c("mean", "quantile"),
  quantile = 0.5,
  recruitment.lower.bound = TRUE,
  round.degree = TRUE
)

Arguments

`rds.data`	an rds.data.frame
`trait.variable`	the name of the variable in rds.data to stratify the imputation by
`N`	population size
`method`	If mean, the weighted mean value is imputed, otherwize a quantile is used.
`quantile`	If method is "quantile", this is the quantile that is used. Defaults to median
`recruitment.lower.bound`	If TRUE, then for each individual, the degree is taken to be the minimum of the number of recruits plus one, and the reported degree
`round.degree`	Should degrees be integer rounded.

Details

This function imputes degree values using the weighted mean or quantile values of the non-missing degrees. Weights are calcualted using Gile's SS if N is not NULL, or RDS-II if it is. If a trait variable is specified, means and quantile are calculated within the levels of the trait variable

Examples

data(faux)
rds.data <- faux
rds.data$network.size[c(1,2,30,52,81,101,108,111)] <- NA
impute.degree(rds.data)
impute.degree(rds.data,trait.variable="X")
impute.degree(rds.data,trait.variable="X",method="quantile")

RDS

Respondent-Driven Sampling

v0.9-3

LGPL-2.1

Authors

Mark S. Handcock [aut, cre], Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [aut]

Initial release

2021-03-11