deliveryPreprocess {PhysicalActivity} | R Documentation |
Preprocess Accelerometry Data
Description
This function preprocesses accelerometry data by removing days based on a total activity count (default: less than 5000) or total time with activity (default: less than 10 minutes). Additionally, the function has an option to zeropad truncated days such that that days that do not have a whole day of 1440 minutes of data spanning from 00:00 to 23:59 (default: TRUE).
Usage
deliveryPreprocess(df, minLow = 5000, minTime = 10, zeropad = TRUE, ...)
Arguments
df |
A dataframe. The source accelerometry dataset, in dataframe format. |
minLow |
Numeric. The minimum total counts of movement for a day to not be removed. |
minTime |
Numeric. The minimum number of minutes of activity for a day to not be removed. |
zeropad |
Boolean value for truncated days to be zeropadded. |
... |
not used at this time |
Details
Function works for dataframes from one or multiple unique trials.
Value
The dataframe is returned with days fulfilling the dropping criteria removed and truncated days zeropadded. A new column indicating which day is added to the dataframe.
Note
The input dataframe should have the following columns: ‘TimeStamp’, ‘axis1’, ‘axis2’, ‘axis3’, ‘vm’, where ‘vm’ is the vector magnitude of axes 1, 2, and 3. Dataframe should also be formatted to 60 second epoch.
Author(s)
Ryan Moore ryan.moore@vumc.org, Cole Beck cole.beck@vumc.org, and Leena Choi leena.choi@Vanderbilt.Edu
See Also
Examples
data(deliveryData)
deliveryDataProcessed <- deliveryPreprocess(df = deliveryData)