bin: Bin a dataset with multiple columns by one of the columns.
In kahaaga/tstools: Useful functions

Bin a dataset with multiple columns by one of the columns.

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bin(dt, bin.size, by, bin.average.function = mean.narm, interpolate = T,
  remove.na = T, time.sampled.at = "mid", start = NULL, end = NULL,
  add.binning.info = F)

`dt`	A data frame containing the data to be binned.
`bin.size`	The size of the bins
`by`	The name of the column to bin by.
`bin.average.function`	The function to use for averaging bins. Default is the arithmetic mean.
`interpolate`	Should empty bins be interpolated linearly?
`remove.na`	Should NAs remaining after interpolation (usually at endpoints after interpolatin) be removed? BEWARE: be careful about removing nans before interpolating.
`time.sampled.at`	How time indices are constructed. Either 'start', 'mid' or 'end' of bins. Defaults to 'mid'.
`start`	The minimum value of the 'by' column for which to subset data. Defaults to the first lower bin limit < min(dt[, by]), obeying bin.size.
`end`	The maximum value of the 'by' column for which to subset data. Defaults to the first upper bin limit > max(dt[, by]), obeying bin.size.
`add.binning.info`	Should info on the binning be added to the resulting dataframe?