GGIR

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' https://activinsights.com/, binary (.gt3x) and .csv-export data from 'Actigraph' https://theactigraph.com devices, and binary (.cwa) and .csv-export data from 'Axivity' https://axivity.com. 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.

Last 30 days

This package has been downloaded 2,486 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 52 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 25,632 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was May 08, 2024 with 701 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.