R: Process and Analyse Data from m-Path Sense

# Process and Analyse Data from m-Path Sense

## Documentation for package ‘mpathsenser’ version 1.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_gaps | Add gap periods to sensor data
add_timezones_to_db | Add timezone to measurements in an m-Path Sense database
app_category | Find the category of an app on the Google Play Store
bin_data | Create bins in variable time series
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_data | Extract data from an m-Path Sense database
get_nrows | Get the number of rows per sensor 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 m-Path Sense files into a database
index_db | Create indexes for an mpathsenser database
installed_apps | Get installed apps
last_date | Extract the date of the last entry
link | Link y to the time scale of x
link_db | Link two sensors OR one sensor and an external data frame using an mpathsenser database
link_gaps | Link gaps to (ESM) data
moving_average | Moving average for values in an mpathsenser database
open_db | Open an mpathsenser database.
plot.coverage | Plot a coverage overview
sensors | Available Sensors
test_jsons | Test JSON files for being in the correct format.
unzip_data | Unzip m-Path Sense output
vacuum_db | Vacuum a database
with_localtime | Convert timestamps to UTC while respecting local timezones