#activAnalyzer v2.0.1 is on its way to CRAN. v2.0.0 was very slow but it is much faster now. Since v2.0.0, the app provides both .html and pdf reports for activity volume, step-based, MX, and activity accumulation metrics.

As a reminder, the lifecycle of this app is "experimental" (https://github.com/pydemull/activAnalyzer), but there should not be major changes during the next months. Please tell me if you detect some bugs or errors!

Work in progress with #activAnalyzer Shiny app (https://pydemull.github.io/activAnalyzer/index.html): possibility to export all results to html reports, including activity accumulation metrics #rstats

Work in progress with #activAnalyzer Shiny app (https://pydemull.github.io/activAnalyzer/index.html): possibility to export all results to html reports, including activity accumulation metrics #rstats

{activAnalyzer} v1.1.0 is now on CRAN. An interesting new feature is the possibility to manually add physical activity periods (and related METs) that could have been recorded using a log, so that it can be easily taken into account in the final daily summary. #RStats #actigraph #activAnalyzer

{activAnalyzer} v1.1.0 is now on CRAN. An interesting new feature is the possibility to manually add physical activity periods (and related METs) that could have been recorded using a log, so that it can be easily taken into account in the final daily summary. #RStats #actigraph #activAnalyzer

Discovering Shiny modules and communication between modules:

The result looks simple and easy, but I cannot tell you the hours I spent on my PC to get this 😅.

#rstats #shiny #activAnalyzer