sumVct: Summarize Wear and Nonwear Time Interval
In PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement

Description Usage Arguments Value Author(s) References See Also Examples

This function summarizes the classified wear (nonwear) time by interval basis from the epoch-by-epoch classified wear (nonwear) status classified by wearingMarking.

sumVct(
  datavct,
  wearing = "wearing",
  TS = getOption("pa.timeStamp"),
  markingString = "w",
  by = "days",
  id = NULL
)

`datavct`	Data with classified wear (nonwear) status classified by `wearingMarking`.
`wearing`	The column name for classified wear and nonwear status. The default is "wearing".
`TS`	The column name for timestamp. The default is "TimeStamp".
`markingString`	Option for summarizing wear (markingString="w") or nonwear time interval (markingString="nw").
`by`	A sequence of days for classified wear (nonwear) time intervals.
`id`	Optional output for subject identification or file name.

The summary data for wear and nonwear time intervals.

Leena Choi leena.choi@Vanderbilt.Edu, Cole Beck cole.beck@vumc.org, Zhouwen Liu zhouwen.liu@vumc.org, Charles E. Matthews Charles.Matthews2@nih.gov, and Maciej S. Buchowski maciej.buchowski@Vanderbilt.Edu

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.

wearingMarking, summaryData

data(dataSec)

mydata1m = dataCollapser(dataSec, TS = "TimeStamp", col = "counts", by = 60)

data1m = wearingMarking(dataset = mydata1m,
                       frame = 90, 
                       perMinuteCts = 1,
                       TS = "TimeStamp",
                       cts = "counts", 
                       streamFrame = NULL, 
                       allowanceFrame= 2, 
                       newcolname = "wearing")

sumVct(data1m, id="sdata1m")
sumVct(data1m, id="sdata1m", markingString = "nw")