RDSalamander {RMark} | R Documentation |
Robust design salamander occupancy data
Description
A robust design occupancy data set for modelling presence/absence data for salamanders.
Format
A data frame with 40 observations (sites) on the following 2 variables.
- ch
a character vector containing the presence (1) and absence (0) with 2 primary occasions with 48 and 31 visits to the site
- freq
frequency of sites (always 1)
Details
This is a data set that I got from Gary White which is suppose to be salamander data collected with a robust design.
Examples
# This example is excluded from testing to reduce package check time
fit.RDOccupancy=function()
{
data(RDSalamander)
occ.p.time.eg=mark(RDSalamander,model="RDOccupEG",
time.intervals=c(rep(0,47),1,rep(0,30)),
model.parameters=list(p=list(formula=~session)),threads=2,delete=TRUE)
occ.p.time.pg=mark(RDSalamander,model="RDOccupPG",
time.intervals=c(rep(0,47),1,rep(0,30)),
model.parameters=list(Psi=list(formula=~time),
p=list(formula=~session)),threads=2,delete=TRUE)
occ.p.time.pe=mark(RDSalamander,model="RDOccupPE",
time.intervals=c(rep(0,47),1,rep(0,30)),
model.parameters=list(Psi=list(formula=~time),
p=list(formula=~session)),threads=2,delete=TRUE)
return(collect.models())
}
RDOcc=fit.RDOccupancy()
print(RDOcc)
[Package RMark version 3.0.0 Index]