Other packages > Find by keyword >

GGIR  

Raw Accelerometer Data Analysis
View on CRAN: Click here


Download and install GGIR package within the R console
Install from CRAN:
install.packages("GGIR")

Install from Github:
library("remotes")
install_github("cran/GGIR")

Install by package version:
library("remotes")
install_version("GGIR", "3.3-0")



Attach the package and use:
library("GGIR")
Maintained by
Vincent T van Hees
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-08
Latest Update: 2025-04-25
Description:
A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' , binary (.gt3x) and .csv-export data from 'Actigraph' devices, and binary (.cwa) and .csv-export data from 'Axivity' . These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
How to cite:
Vincent T van Hees (2013). GGIR: Raw Accelerometer Data Analysis. R package version 3.3-0, https://cran.r-project.org/web/packages/GGIR. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.6-17 (2013-08-08 19:46), 1.0-00 (2013-12-21 16:47), 1.0-1 (2014-01-29 18:47), 1.0-2 (2014-03-14 16:50), 1.0-3 (2014-03-27 12:04), 1.0-4 (2014-04-29 17:47), 1.0-6 (2014-09-01 18:25), 1.1-3 (2014-10-21 18:11), 1.1-4 (2014-11-06 15:20), 1.1-5 (2015-05-11 18:42), 1.2-0 (2015-10-27 09:55), 1.2-1 (2015-12-09 08:12), 1.2-2 (2016-01-08 00:21), 1.2-5 (2016-05-09 06:24), 1.2-6 (2016-05-11 00:09), 1.2-7 (2016-05-14 00:08), 1.2-8 (2016-05-24 22:55), 1.2-10 (2016-08-28 23:13), 1.2-11 (2016-08-31 22:29), 1.3-2 (2016-11-29 00:55), 1.4 (2017-01-22 17:02), 1.5-1 (2017-04-23 14:51), 1.5-3 (2017-04-29 00:39), 1.5-7 (2017-05-09 23:06), 1.5-9 (2017-05-21 21:58), 1.5-10 (2017-07-12 16:19), 1.5-12 (2017-08-08 16:29), 1.5-16 (2018-01-17 16:09), 1.5-17 (2018-02-19 17:09), 1.5-18 (2018-03-18 14:30), 1.5-21 (2018-04-22 12:32), 1.5-23 (2018-07-04 14:30), 1.5-24 (2018-07-09 20:30), 1.6-0 (2018-07-29 17:30), 1.6-7 (2018-09-23 13:10), 1.7-1 (2018-11-25 18:00), 1.8-1 (2019-01-11 14:40), 1.9-0 (2019-03-15 08:03), 1.9-1 (2019-05-08 19:20), 1.9-2 (2019-07-03 17:00), 1.10-1 (2019-08-23 19:30), 1.10-3 (2019-09-08 19:50), 1.10-4 (2019-09-09 15:10), 1.10-7 (2019-10-06 15:20), 1.11-0 (2019-12-04 08:50), 2.0-0 (2020-05-01 08:50), 2.1-0 (2020-08-27 18:00), 2.2-0 (2020-11-22 15:40), 2.3-0 (2021-02-17 23:50), 2.4-0 (2021-06-03 13:00), 2.5-0 (2021-10-26 06:40), 2.6-0 (2022-02-02 13:20), 2.7-0 (2022-05-23 20:30), 2.7-1 (2022-05-30 09:10), 2.8-0 (2022-09-19 13:26), 2.8-1 (2022-10-01 11:40), 2.8-2 (2022-10-06 14:50), 2.9-0 (2023-03-24 13:00), 2.10-1 (2023-08-10 17:52), 3.0-0 (2023-10-16 23:20), 3.0-2 (2023-12-13 18:40), 3.0-3 (2024-01-11 14:40), 3.0-5 (2024-02-02 15:10), 3.0-6 (2024-02-22 13:20), 3.0-9 (2024-03-19 08:20), 3.1-0 (2024-05-06 21:00), 3.1-1 (2024-06-04 18:00), 3.1-2 (2024-07-02 17:50), 3.1-4 (2024-09-03 13:00), 3.1-5 (2024-11-07 20:50), 3.2-0 (2025-02-20 11:10), 3.2-6 (2025-04-25 11:10), 3.3-0 (2025-09-15 14:10)
Other packages that cited GGIR R package
View GGIR citation profile
Other R packages that GGIR depends, imports, suggests or enhances
Complete documentation for GGIR
Functions, R codes and Examples using the GGIR R package
Some associated functions: CalcSleepRegularityIndex . GGIR-package . GGIR . HASIB . HASPT . POSIXtime2iso8601 . ShellDoc2Vignette . applyExtFunction . check_myfun . check_params . cosinorAnalyses . createConfigFile . create_test_acc_csv . create_test_sleeplog_csv . data.calibrate . data.getmeta . data.inspectfile . datadir2fnames . extract_params . g.IVIS . g.abr.day.names . g.analyse.avday . g.analyse . g.analyse.perday . g.analyse.perfile . g.applymetrics . g.binread . g.calibrate . g.conv.actlog . g.convert.part2.long . g.create.sp.mat . g.cwaread . g.detecmidnight . g.dotorcomma . g.downsample . g.extractheadervars . g.fragmentation . g.getM5L5 . g.getbout . g.getmeta . g.getstarttime . g.impute . g.imputeTimegaps . g.inspectfile . g.intensitygradient . g.loadlog . g.part1 . g.part2 . g.part3 . g.part4 . g.part4_extradctid . g.part5.addfirstwake . g.part5.addsib . g.part5.classifyNaps . g.part5.definedays . g.part5.fixmissingnight . g.part5.handle_lux_extremes . g.part5.lux_persegment . g.part5 . g.part5.ontsetwaketiming . g.part5.savetimeseries . g.part5.wakesleepwindows . g.plot . g.plot5 . g.readaccfile . g.readtemp_movisens . g.report.part2 . g.report.part4 . g.report.part5 . g.shell.GGIR . g.sib.det . g.sib.plot . g.sib.sum . g.sibreport . g.wavread . g.weardec . get_nw_clip_block_params . get_starttime_weekday_meantemp_truncdata . getfolderstructure . identify_levels . is.ISO8601 . is_this_a_dst_night . isfilelist . ismovisens . iso8601chartime2POSIX . load_params . parametersVignette . read.myacc.csv . tidyup_df . updateBlocksize . 
Some associated R codes: CalcSleepRegularityIndex.R . GGIR.R . HASIB.R . HASPT.R . POSIXtime2iso8601.R . ShellDoc2Vignette.R . applyExtFunction.R . check_myfun.R . check_params.R . cosinorAnalyses.R . createConfigFile.R . create_test_acc_csv.R . create_test_sleeplog_csv.R . datadir2fnames.R . extract_params.R . g.IVIS.R . g.abr.day.names.R . g.analyse.R . g.analyse.avday.R . g.analyse.perday.R . g.analyse.perfile.R . g.applymetrics.R . g.binread.R . g.calibrate.R . g.conv.actlog.R . g.convert.part2.long.R . g.create.sp.mat.R . g.cwaread.R . g.detecmidnight.R . g.dotorcomma.R . g.downsample.R . g.extractheadervars.R . g.fragmentation.R . g.getM5L5.R . g.getbout.R . g.getmeta.R . g.getstarttime.R . g.impute.R . g.imputeTimegaps.R . g.inspectfile.R . g.intensitygradient.R . g.loadlog.R . g.part1.R . g.part2.R . g.part3.R . g.part4.R . g.part4_extractid.R . g.part5.R . g.part5.addfirstwake.R . g.part5.addsib.R . g.part5.classifyNaps.R . g.part5.definedays.R . g.part5.fixmissingnight.R . g.part5.handle_lux_extremes.R . g.part5.lux_persegment.R . g.part5.onsetwaketiming.R . g.part5.savetimeseries.R . g.part5.wakesleepwindows.R . g.plot.R . g.plot5.R . g.readaccfile.R . g.readtemp_movisens.R . g.report.part2.R . g.report.part4.R . g.report.part5.R . g.shell.GGIR.R . g.sib.det.R . g.sib.plot.R . g.sib.sum.R . g.sibreport.R . g.wavread.R . g.weardec.R . get_nw_clip_block_params.R . get_starttime_weekday_meantemp_truncdata.R . getfolderstructure.R . identify_level.R . is.ISO8601.R . is_this_a_dst_night.R . isfilelist.R . ismovisens.R . iso8601chartime2POSIX.R . load_params.R . parametersVignette.R . read.myacc.csv.R . tidyup_df.R . updateBlocksize.R . zzz.R .  Full GGIR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA