behav.bin {tripEstimation} | R Documentation |
~~ A concise (1-5 lines) description of what the function does. ~~
behav.bin(z, pimgs, weights = NULL)
z |
~~Describe z here~~ |
pimgs |
~~Describe pimgs here~~ |
weights |
~~Describe weights here~~ |
~~ If necessary, more details than the description above ~~
~Describe the value returned If it is a LIST, use
comp1 |
Description of 'comp1' |
comp2 |
Description of 'comp2' |
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~~further notes~~
~Make other sections like Warning with section{Warning }{....} ~
~~who you are~~
~put references to the literature/web site here ~
~~objects to See Also as help
, ~~~
##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets. ## The function is currently defined as function (z, pimgs, weights = NULL) { if (is.null(weights) && attr(pimgs, "Z")) weights <- c(diff(unclass(attr(pimgs, "Xtimes"))/3600)) if (is.null(weights)) weights <- rep(1, length(pimgs)) if (!(length(weights) == length(pimgs))) stop("length of weights do not match length of p-img list") if (nrow(z) != length(pimgs)) stop("dimensions of chain do not match length of p-img list") #dm <- dim(z) for (k in 1:length(weights)) { pimgs[[k]] <- bin.pimg(pimgs[[k]], t(z[k, 1:2, ]), w = weights[k]) } pimgs }