imputeMissing: 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

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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

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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)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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