time_on: Calculate amount of time that the CGM was active
In rGV: Analysis of Continuous Glucose Monitor Data
time_on R Documentation
Calculate amount of time that the CGM was active
Description
Calculate amount of time that the CGM was active
Usage
time_on(times, gap = 5)
Arguments
times
vector of corresponding times, in minutes
gap
typical gap between CGM measurements, in minutes. Default is 5
Value
The numeric amount of time that the CGM device was active in a given dataset.
Examples
time_on(times=seq(0, 1260, 60), gap=5)
rGV documentation built on April 4, 2025, 5:58 a.m.
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| time_on | R Documentation |
Calculate amount of time that the CGM was active
Description
Calculate amount of time that the CGM was active
Usage
time_on(times, gap = 5)
Arguments
times |
vector of corresponding times, in minutes |
gap |
typical gap between CGM measurements, in minutes. Default is 5 |
Value
The numeric amount of time that the CGM device was active in a given dataset.
Examples
time_on(times=seq(0, 1260, 60), gap=5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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