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This function takes a data frame of OD data and returns a data frame reporting summary statistics for each unique zone of destination.

Usage

od_aggregate_to(flow, attrib = NULL, FUN = sum, ..., col = 2)

Arguments

flow

A data frame representing origin-destination data. The first two columns of this data frame should correspond to the first column of the data in the zones. Thus in cents(), the first column is geo_code. This corresponds to the first two columns of flow().

attrib

character, column names in sl to be aggregated

FUN

A function to summarise OD data by

...

Additional arguments passed to FUN

col

The column that the OD dataset is grouped by (1 by default, the first column usually represents the origin)

Details

It has some default settings: it assumes the destination ID column is the 2nd and the default summary statistic is sum(). By default, if attrib is not set, it summarises all numeric columns.

Examples

od_aggregate_to(flow)
#> # A tibble: 7 × 13
#>   Area.of.workplace   All Work.mainly.at.or.from.home Underground..metro.… Train
#>   <chr>             <int>                       <int>                <int> <int>
#> 1 E02002361           207                           0                    0     0
#> 2 E02002363           467                           0                    0     5
#> 3 E02002367           115                           0                    0     1
#> 4 E02002371           539                           0                    0     2
#> 5 E02002377           324                           0                    0     0
#> 6 E02002382           209                           0                    1     0
#> 7 E02002393           955                           0                    0     4
#> # … with 8 more variables: Bus..minibus.or.coach <int>, Taxi <int>,
#> #   Motorcycle..scooter.or.moped <int>, Driving.a.car.or.van <int>,
#> #   Passenger.in.a.car.or.van <int>, Bicycle <int>, On.foot <int>,
#> #   Other.method.of.travel.to.work <int>