missing_volunteer: Generate missing data mimicking choices made by volunteers.

In inbo/multimput: Using Multiple Imputation to Address Missing Data

Generate missing data mimicking choices made by volunteers.

Description

The observed values will be either equal to the counts or missing. The probability of missing is the inverse of the counts + 1.

Usage

missing_volunteer(
  dataset,
  proportion = 0.25,
  count_variable = "Count",
  observed_variable = "Observed",
  year_variable = "Year",
  site_variable = "Site",
  max_count = 100
)

Arguments

dataset	A dataset to a the observation with missing data.
proportion	The proportion of observations that will be missing.
count_variable	The name of the variable holding the counts.
observed_variable	The name of the variable holding the observed values = either count or missing.
year_variable	The name of the variable holding the years.
site_variable	The name of the variable holding the sites.
max_count	The maximum count.

inbo/multimput documentation built on Sept. 17, 2023, 4:35 a.m.