Organize data for the single season occupancy models fit by occu and occuRN
unmarkedFrameOccu(y, siteCovs=NULL, obsCovs=NULL, mapInfo)
y |
An RxJ matrix of the detection, non-detection data, where R is the number of sites, J is the maximum number of sampling periods per site. |
siteCovs |
A |
obsCovs |
Either a named list of |
mapInfo |
Currently ignored |
an object of class unmarkedFrameOccu
# Fake data R <- 4 # number of sites J <- 3 # number of visits y <- matrix(c( 1,1,0, 0,0,0, 1,1,1, 1,0,1), nrow=R, ncol=J, byrow=TRUE) y site.covs <- data.frame(x1=1:4, x2=factor(c('A','B','A','B'))) site.covs obs.covs <- list( x3 = matrix(c( -1,0,1, -2,0,0, -3,1,0, 0,0,0), nrow=R, ncol=J, byrow=TRUE), x4 = matrix(c( 'a','b','c', 'd','b','a', 'a','a','c', 'a','b','a'), nrow=R, ncol=J, byrow=TRUE)) obs.covs umf <- unmarkedFrameOccu(y=y, siteCovs=site.covs, obsCovs=obs.covs) # organize data umf # look at data summary(umf) # summarize fm <- occu(~1 ~1, umf) # fit a model
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