View source: R/read_distancing.R
read_distancing | R Documentation |
Takes a folder of stay-at-home Safegraph data structured how it comes from AWS (i.e. folders 2020/04/03 for April 3 2020) and reads them in.
read_distancing( start, end, dir = ".", gen_fips = TRUE, by = c("state_fips", "county_fips"), filter = NULL, select = c("origin_census_block_group", "device_count", "completely_home_device_count", "part_time_work_behavior_devices", "full_time_work_behavior_devices"), ... )
start |
Date object with the starting date to read in stay-at-home data. |
end |
Ending date to read stay-at-home data to. |
dir |
The folder in which the "2020" (etc.) folder resides. |
gen_fips |
Set to |
by |
After reading, collapse to this level by |
filter |
A character string describing a logical statement for filtering the data, for example |
select |
Character vector of variables to get from the file. Set to |
... |
Other arguments to be passed to |
The stay-at-home data is no longer being updated as of April 19, 2021. This function should still work for the old data though.
Note that after reading in data, if gen_fips = TRUE
, state and county names can be merged in using data(fips_to_names)
.
## Not run: # The directory distdat is the folder we have downloaded the distancing data to from AWS. # Read and compile all distancing data from May 1 to May 7 distancing <- read_distancing( start = lubridate::ymd('2020-05-01'), end = lubridate::ymd('2020-05-07'), dir = distdat ) ## End(Not run)
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