Package: mpathsenser 1.2.4.9000

mpathsenser: Process and Analyse Data from m-Path Sense

Overcomes one of the major challenges in mobile (passive) sensing, namely being able to pre-process the raw data that comes from a mobile sensing app, specifically 'm-Path Sense' <https://m-path.io>. The main task of 'mpathsenser' is therefore to read 'm-Path Sense' JSON files into a database and provide several convenience functions to aid in data processing.

Authors:Koen Niemeijer [aut, cre], Kristof Meers [ctb], KU Leuven [cph, fnd]

mpathsenser_1.2.4.9000.tar.gz
mpathsenser_1.2.4.9000.zip(r-4.7-any)mpathsenser_1.2.4.9000.zip(r-4.6-any)mpathsenser_1.2.4.9000.zip(r-4.5-any)
mpathsenser_1.2.4.9000.tgz(r-4.6-any)mpathsenser_1.2.4.9000.tgz(r-4.5-any)
mpathsenser_1.2.4.9000.tar.gz(r-4.7-any)mpathsenser_1.2.4.9000.tar.gz(r-4.6-any)
mpathsenser_1.2.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mpathsenser/json (API)

# Install 'mpathsenser' in R:

install.packages('mpathsenser', repos = c('https://koenniem.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/koenniem/mpathsenser/issues

Pkgdown/docs site:https://koenniem.github.io

On CRAN:

m-path mobile-sensing passive-sensing

4.65 score 1 stars 6 scripts 363 downloads 36 exports 32 dependencies

Last updated from:5824ef27a1. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	267
source / vignettes	OK	296
linux-release	OK	214
macos-release	OK	242
macos-oldrel	OK	285
windows-devel	OK	218
windows-release	OK	246
windows-oldrel	OK	205
wasm-release	OK	104

Exports:add_gaps add_timezones_to_db app_category bin_data ccopy close_db copy_db coverage create_db decrypt_gps device_info first_date fix_jsons freq geocode_rev get_data get_nrows get_participants get_processed_files get_studies haversine identify_gaps import index_db installed_apps last_date link link_db link_gaps moving_average open_db sensors test_jsons unzip_data vacuum_db with_localtime

Dependencies:bit bit64 blob cachem cli cpp11 DBI dbplyr dplyr fastmap generics glue jsonlite lifecycle lubridate magrittr memoise pillar pkgconfig purrr R6 rlang RSQLite stringi stringr tibble tidyr tidyselect timechange utf8 vctrs withr

Get started

Importing files | Creating a coverage chart | Closing the database

Rendered frommpathsenser.Rmdusingknitr::rmarkdown

Last update: 2025-11-07
Started: 2022-06-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add gap periods to sensor data	add_gaps
Add timezone to measurements in an m-Path Sense database	add_timezones_to_db
Find the category of an app on the Google Play Store	app_category
Create bins in variable time series	bin_data
Copy mpathsenser zip files to a new location	ccopy
Close a database connection	close_db
Copy (a subset of) a database to another database	copy_db
Create a coverage chart of the sampling rate	coverage
Create a new mpathsenser database	create_db
Decrypt GPS data from a curve25519 public key	decrypt_gps
Get the device info for one or more participants	device_info
Extract the date of the first entry	first_date
Fix the end of JSON files	fix_jsons
Measurement frequencies per sensor	freq
Reverse geocoding with latitude and longitude	geocode_rev
Extract data from an m-Path Sense database	get_data
Get the number of rows per sensor in a mpathsenser database	get_nrows
Get all participants	get_participants
Get all processed files from a database	get_processed_files
Get all studies	get_studies
Calculate the Great-Circle Distance between two points in kilometers	haversine
Identify gaps in mpathsenser mobile sensing data	identify_gaps
Import m-Path Sense files into a database	import
Create indexes for an mpathsenser database	index_db
Get installed apps	installed_apps
Extract the date of the last entry	last_date
Link y to the time scale of x	link
Link two sensors OR one sensor and an external data frame using an mpathsenser database	link_db
Link gaps to (ESM) data	link_gaps
Moving average for values in an mpathsenser database	moving_average
Open an mpathsenser database.	open_db
Plot a coverage overview	plot.coverage
Available Sensors	sensors
Test JSON files for being in the correct format.	test_jsons
Unzip m-Path Sense output	unzip_data
Vacuum a database	vacuum_db
Convert timestamps to UTC while respecting local timezones	with_localtime