| sumVct {PhysicalActivity} | R Documentation | 
Summarize Wear and Nonwear Time Interval
Description
This function summarizes the classified wear (nonwear) time by interval basis
from the epoch-by-epoch classified wear (nonwear) status classified by
wearingMarking.
Usage
sumVct(
  datavct,
  wearing = "wearing",
  TS = getOption("pa.timeStamp"),
  markingString = "w",
  by = "days",
  id = NULL
)
Arguments
| datavct | Data with classified wear (nonwear) status classified by
 | 
| 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. | 
Value
The summary data for wear and nonwear time intervals.
Author(s)
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
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.
See Also
Examples
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")