behav.bin {tripEstimation}R Documentation

~~function to do ... ~~

Description

~~ A concise (1-5 lines) description of what the function does. ~~

Usage

behav.bin(z, pimgs, weights = NULL)

Arguments

z ~~Describe z here~~
pimgs ~~Describe pimgs here~~
weights ~~Describe weights here~~

Details

~~ If necessary, more details than the description above ~~

Value

~Describe the value returned If it is a LIST, use

comp1 Description of 'comp1'
comp2 Description of 'comp2'

...

Warning

....

Note

~~further notes~~

~Make other sections like Warning with section{Warning }{....} ~

Author(s)

~~who you are~~

References

~put references to the literature/web site here ~

See Also

~~objects to See Also as help, ~~~

Examples

##---- 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
  }

[Package tripEstimation version 0.0-24 Index]