crashes {VGAM} | R Documentation

## Crashes on New Zealand Roads in 2009

### Description

A variety of reported crash data cross-classified by time (hour of the day) and day of the week, accumulated over 2009. These include fatalities and injuries (by car), trucks, motor cycles, bicycles and pedestrians. There are some alcohol-related data too.

### Usage

    data(crashi)
    data(crashf)
    data(crashtr)
    data(crashmc)
    data(crashbc)
    data(crashp)
    data(alcoff)
    data(alclevels)

### Format

Data frames with hourly times as rows and days of the week as columns. The `alclevels` dataset has hourly times and alcohol levels.

Mon, Tue, Wed, Thu, Fri, Sat, Sun

  Day of the week.

0-30, 31-50, 51-80, 81-100, 101-120, 121-150, 151-200, 201-250, 251-300, 301-350, 350+

  Blood alcohol level (milligrams alcohol per 100 millilitres of blood).

### Details

Each cell is the aggregate number of crashes reported at each hour-day combination, over the 2009 calendar year. The `rownames` of each data frame is the start time (hourly from midnight onwards) on a 24 hour clock, e.g., 21 means 9.00pm to 9.59pm.

For crashes, `chrashi` are the number of injuries by car, `crashf` are the number of fatalities by car (not included in `chrashi`), `crashtr` are the number of crashes involving trucks, `crashmc` are the number of crashes involving motorcyclists, `crashbc` are the number of crashes involving bicycles, and `crashp` are the number of crashes involving pedestrians. For alcohol-related offences, `alcoff` are the number of alcohol offenders from breath screening drivers, and `alclevels` are the blood alcohol levels of fatally injured drivers.

### Source

`http://www.transport.govt.nz/research/Pages/Motor-Vehicle-Crashes-in-New-Zealand-2009.aspx`. Thanks to Warwick Goold and Alfian F. Hadi for assistance.

### References

Motor Vehicles Crashes in New Zealand 2009; Statistical Statement Calendar Year 2009. Ministry of Transport, NZ Government; Yearly Report 2010. ISSN: 1176-3949

### See Also

`rrvglm`, `rcim`, `grc`.

### Examples

    ## Not run:  plot(unlist(alcoff), type = "l", frame.plot = TRUE,
         axes = FALSE, col = "blue", bty = "o",
         main = "Alcoholic offenders on NZ roads, aggregated over 2009",
         sub  = "Vertical lines at midnight (purple) and noon (orange)",
         xlab = "Day/hour", ylab = "Number of offenders")
    axis(1, at = 1 + (0:6) * 24 + 12, labels = colnames(alcoff))
    axis(2, las = 1)
    axis(3:4, labels = FALSE, tick = FALSE)
    abline(v = sort(1 + c((0:7) * 24, (0:6) * 24 + 12)), lty = "dashed",
           col = c("purple", "orange"))
    ## End(Not run)

    # Goodmans RC models
    ## Not run:
    fitgrc1 <- grc(alcoff)  # Rank-1 model
    fitgrc2 <- grc(alcoff, Rank = 2, Corner = FALSE, Uncor = TRUE)
    Coef(fitgrc2)

    ## End(Not run)
    ## Not run:  biplot(fitgrc2, scaleA = 2.3, Ccol = "blue", Acol = "orange",
           Clabels = as.character(1:23), xlim = c(-1.3, 2.3),
           ylim = c(-1.2, 1))
    ## End(Not run)

[Package VGAM version 1.1-1 Index]