| dataCollapser {PhysicalActivity} | R Documentation |
Collapse Accelerometer Data to a Dataset with a Longer Epoch
Description
The function collapses counts in data collected with a short epoch to make a data set with a longer epoch. For example, this function collapses data with 1-sec epoch to 10-sec epoch or 1-min epoch data.
Usage
dataCollapser(dataset, TS, by, col, func = sum, ...)
Arguments
dataset |
The source dataset, in dataframe format, that needs to be collapsed. |
TS |
The column name for timestamp. |
by |
Epoch in seconds for a collapsed dataset. For example, to collapse second data to minute data, set by = 60; to collapse 10-second data to minute data, set by = 60. |
col |
The column name(s) to collapse. If not provided, will default to all numeric columns. |
func |
A method for collapsing counts. The default is the summation of counts. |
... |
Argument settings that to be used by user-defined "func" setting. |
Value
A collapsed data with user specified epoch.
Author(s)
Zhouwen Liu zhouwen.liu@vumc.org
References
Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011 Feb;43(2):357-64.
Examples
data(dataSec)
## collapse 1-sec epoch data to 10-sec epoch data
mydata10s = dataCollapser(dataSec, TS = "TimeStamp", col = "counts", by = 10)
## collapse 1-sec epoch data to 1-min epoch data
mydata1m = dataCollapser(dataSec, TS = "TimeStamp", col = "counts", by = 60)