R: Fast tabulating in different bins

binned_tabulate {ffbase} | R Documentation

## Fast tabulating in different bins

### Description

`binned_sum` implements fast tabulating for given bins by calling c-code. It also returns the number of NA's per bin. Please note that incorrect use of this function may crash your R-session. the values of `bins` must be between `1` and `nbins` and may not contain `NA`. The values of `x` must be between `1` and `nlevels`.

### Usage

    binned_tabulate(x, bin, nbins = max(bin), nlevels = nlevels(x), ...)

    ## Default S3 method:
    binned_tabulate(x, bin, nbins = max(bin), nlevels = nlevels(x), ...)

    ## S3 method for class 'ff'
    binned_tabulate(x, bin, nbins = max(bin), nlevels = nlevels(x), ...)

### Arguments

`x` | `factor` or `integer` vector with the data to be tabulated
`bin` | `integer` vector with the bin number for each data point
`nbins` | `integer` maximum bin number
`nlevels` | `integer` number of levels used in x
`...` | used by binned_tabulate.ff

### Value

`numeric` matrix where each row is a bin and each column a level

[Package ffbase version 0.13.1 Index]