missingVolunteer: Generate missing data mimicschoices made by volunteers.

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

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

missingVolunteer(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 year
site.variable	The name of the variable holding the site
max.count	The maximum count

ThierryO/multimput documentation built on May 9, 2019, 4:42 p.m.