takes ensembles in time and/or values and creates a matrix of data for future analysis
binEns(time, values, bin.vec, bin.fun = mean, max.ens = NA)single column vector of time
single column vector of values to bin
vector of bin edges for binning step
function to use during binning (mean, sd, and sum all work)
maximum number of ensemble members to regress
list that includes matrix of binned data and binned time
Other bin:
alignTimeseriesBin(),
bin2d(),
binTs(),
bin()