imputeMissing: A function to impute missing entries in continuous obsCovs
In unmarked: Models for Data from Unmarked Animals

imputeMissing

R Documentation

A function to impute missing entries in continuous obsCovs

Description

This function uses an ad-hoc averaging approach to impute missing entries in obsCovs. The missing entry is replaced by an average of the average for the site and the average for the visit number.

Usage

imputeMissing(umf, whichCovs = seq(length=ncol(obsCovs(umf))))

Arguments

`umf`	The data set who's obsCovs are being imputed.
`whichCovs`	An integer vector giving the indices of the covariates to be imputed. This defaults to all covariates in `obsCovs`.

Value

A version of umf that has the requested obsCovs imputed.

Author(s)

Ian Fiske

Examples


data(frogs)
pcru.obscovs <- data.frame(MinAfterSunset=as.vector(t(pcru.data[,,1])),
     Wind=as.vector(t(pcru.data[,,2])),
     Sky=as.vector(t(pcru.data[,,3])),
     Temperature=as.vector(t(pcru.data[,,4])))
pcruUMF <- unmarkedFrameOccu(y = pcru.bin, obsCovs = pcru.obscovs)
pcruUMF.i1 <- imputeMissing(pcruUMF)
pcruUMF.i2 <- imputeMissing(pcruUMF, whichCovs = 2)

unmarked documentation built on July 9, 2023, 5:44 p.m.