degree.df.maker: Degree distribution of persons in recent sexual...
In wdelva/RSimpactHelp: Pre- and Post-simulation helper functions for RSimpact Cyan

Description Usage Arguments Value Examples

Creates a dataframe for the degree distribution of persons specified from the dataset produced by agemix.df.maker. This function allows users to specify whether they want new relationships or ongoing relationships among a specified age group, gender, or HIV status of persons in the dataset.

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degree.df.maker(df = rels.episodes.df, agegroup = c(15, 30),
  hivstatus = 0, survey.time = 40, window.width = 1,
  gender.degree = "female", only.new = TRUE)

`df`	The dataframe that is produced by `agemix.df.maker`
`agegroup`	Boundaries of the age group (lower bound <= age < upper bound) that should be retained. Should be expressed as a vector of two integers. e.g. c(15, 30)
`hivstatus`	HIV status at the time of the survey. Options are: 0 = only HIV-negative, 1 = only HIV-positive, 2 = all
`survey.time`	Numeric integer representing the time point of the cross-sectional glance at the data
`window.width`	Numeric integer representing how long before the cross-sectional glance should you look at the data. E.g 1 year before the survey
`gender.degree`	The gender or the persons in the data. c("male", "female")
`only.new`	Logical indicator. If TRUE, only relationships that were newly started during window.width are counted (i.e. the individual was NEVER in a relationship with these partners before the start of the window). If FALSE, all relationships that were ongoing at some point during the window.width are counted.

A dataframe that has the columns "ID" and "Degree"

cfg <- list()
modeloutput <- RSimpactCyan::simpact.run(configParams = cfg, destDir = "temp")
dl <- readthedata(modeloutput)
rels.episodes.df <- agemix.df.maker(datalist = dl)
degree.df <- degree.df.maker(df = rels.episodes.df, agegroup = c(20, 30), hivstatus = 1)