calcMinAvgSpdMIDAS: calculates average minimum speeds

In arwasayegh/mdep: midas data extraction and pre-processing

Description

calculates average minimum speeds for each loop detector in a 'midas' object

Usage

calcMinAvgSpdMIDAS(x, geo.address = "Geographic.Address", 
		speed = "avg.spd", traffic.bound = NULL)

Arguments

x	object of class 'midas'
geo.address, speed	character. geographic address and average speed column names. Default to "Geographic.Address" and "avg.spd", respectively
traffic.bound	(optional) character. if midas object has only anticlockwise traffic data then set to anticlockwise to order the dataframe from start point to end point (because the code numbers for both directions are the same).

Value

list

min.avg.spd	dataframe containing the geographic address and its corresponding observed minimum speed
avg.min.avg.spd	average minimum over all loop detectors
min.min.avg.spd	minimum observed over all loop detectors

Examples

## Not run: 
#md is a one .csv data set you've downloaded
ex <- macroMIDAS(x = md, cut.macro = FALSE, spd.method = "weighted",
		replaceZeroSpd = replaceZeroNaMIDAS)
minSpds <- calcMinAvgSpdMIDAS(x = ex)

## End(Not run)

arwasayegh/mdep documentation built on May 20, 2019, 1:27 p.m.