imputeMissing: A function to impute missing entries in continuous obsCovs

In ianfiske/unmarked: Models for Data from Unmarked Animals

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)

ianfiske/unmarked documentation built on May 18, 2019, 1:28 a.m.