The goal of mtrostR
is to facilitate analysis of fatalities dataset produced by US National Highway Traffic Safety Administration.
The other goal is to serve for testing.
This is a basic example which shows you how to construct a filename string and import a dataset into R session:
# choose a year
my_year <- 2013
# construct filename to be used for importing dataset into R
my_filename <- make_filename(year = my_year)
# import datast into R usint filename string
my_df <- fars_read(my_filename)
my_df
# A tibble: 30,202 x 50
STATE ST_CASE VE_TOTAL VE_FORMS PVH_INVL PEDS PERNOTMVIT PERMVIT PERSONS
<int> <int> <int> <int> <int> <int> <int> <int> <int>
1 1 10001 1 1 0 0 0 8 8
2 1 10002 2 2 0 0 0 2 2
3 1 10003 1 1 0 0 0 1 1
4 1 10004 1 1 0 0 0 3 3
5 1 10005 2 2 0 0 0 3 3
6 1 10006 2 2 0 0 0 3 3
7 1 10007 1 1 0 0 0 1 1
8 1 10008 2 2 0 0 0 2 2
9 1 10009 1 1 0 0 0 1 1
10 1 10010 2 2 0 0 0 4 4
# ... with 30,192 more rows, and 41 more variables: COUNTY <int>, CITY <int>,
# DAY <int>, MONTH <int>, YEAR <int>, DAY_WEEK <int>, HOUR <int>, MINUTE <int>,
# NHS <int>, ROAD_FNC <int>, ROUTE <int>, TWAY_ID <chr>, TWAY_ID2 <chr>,
# MILEPT <int>, LATITUDE <dbl>, LONGITUD <dbl>, SP_JUR <int>, HARM_EV <int>,
# MAN_COLL <int>, RELJCT1 <int>, RELJCT2 <int>, TYP_INT <int>, WRK_ZONE <int>,
# REL_ROAD <int>, LGT_COND <int>, WEATHER1 <int>, WEATHER2 <int>, WEATHER <int>,
# SCH_BUS <int>, RAIL <chr>, NOT_HOUR <int>, NOT_MIN <int>, ARR_HOUR <int>,
# ARR_MIN <int>, HOSP_HR <int>, HOSP_MN <int>, CF1 <int>, CF2 <int>, CF3 <int>,
# FATALS <int>, DRUNK_DR <int>
For more in-depth introductions to mtrostR
please take a look at package vignette.
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