download.file() to
curl::curl_download() for more robust downloads
(#258).STATS19_DOWNLOAD_DIRECTORY environment variable
(#211).dplyr, lubridate, jsonlite) from
Suggests to Imports.reshape2 with tidyr for data
manipulation (#276).year = "5 years" (#261).get_stats19_adjustments() function now returns a
message explaining that adjustments are included in the main casualty
dataset, as the separate adjustments file is no longer provided by the
DfT (#266).stats19_variables object to
format the different tables columns (#245) (credit @layik), fixing an issue in
which ages were removed from the casualties table, fixing
(#235)year is less than 2018 the package auto-downloads
the full dataset (#239)accidents with collisions and
casualty with casualties (#232)timeout in
get_stats19() to 10 minutes (#226)read_accidents in favour of
read_collisions and using consistent collision
instead of accidents.purrr::map_dfr().readr on Windows to prevent errors
on reading data (#205)get_ULEZ() and
get_MOT() functionsget_ULEZ() to get data on vehicles from a
number plate (thanks to Ivo Wengraf)get_stats19()
when data_dir points to the working directoryget_stats19_adjustments() functionget_stats19() and multiple years
that could be linked with the same data file (#168)datetime that is a properly formatted date-time
(POSIXct) object in the correct timezone
(Europe/London) (#146)get_stats19() gains a new argument
output_format() that enables results to be returned as an
sf object or a ppp object for use the the
spatstat package thanks to work by Andrea Gilardi
https://github.com/ropensci/stats19/pull/136dl_stats19(): it is now much easier to
download STATS19 data. By default ask = FALSE in
get_stats19() and dl_stats19().get_stats19() gains an ask argument
(TRUE by default, set as FALSE to make road
crash data access even more automated!)date column now is of the correct class after
formatting POSIXct. See #86NEWS.md file to track changes to the
package.
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