Process and Analyse Data from m-Path Sense

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Documentation for package ‘mpathsenser’ version 1.0.3

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app_category Find the category of an app on the Google Play Store
ccopy Copy mpathsenser zip files to a new location
close_db Close a database connection
copy_db Copy (a subset of) a database to another database
coverage Create a coverage chart of the sampling rate
create_db Create a new mpathsenser database
decrypt_gps Decrypt GPS data from a curve25519 public key
device_info Get the device info for one or more participants
first_date Extract the date of the first entry
fix_jsons Fix the end of JSON files
freq Measurement frequencies per sensor
geocode_rev Reverse geocoding with latitude and longitude
get_activity Get a summary of physical activity (recognition)
get_app_usage Get app usage per hour
get_data Generic helper function from extracting data from an m-Path Sense database
get_installed_apps Get installed apps
get_nrows Get the number of rows sensors in a mpathsenser database
get_participants Get all participants
get_processed_files Get all processed files from a database
get_studies Get all studies
haversine Calculate the Great-Circle Distance between two points in kilometers
identify_gaps Identify gaps in mpathsenser mobile sensing data
import Import mpathsenser files into a database (mpathsenser data scheme)
index_db Create indexes for a mpathsenser database
last_date Extract the date of the last entry
link Match y to the time scale of x
link2 Link two sensors OR one sensor and an external data frame
moving_average Moving average for values in an mpathsenser database
mpathsenser mpathsenser: Process and Analyse Data from m-Path Sense
n_screen_on Get number of times screen turned on
n_screen_unlocks Get number of screen unlocks
open_db Open an mpathsenser database.
screen_duration Screen duration by hour or day
sensors Available Sensors
step_count Get step count
test_jsons Test JSON files for being in the correct format.
unzip_data Unzip m-Path Sense output