marking: Marking Data with Wearing Tags

In PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement

Description

This function marks the dataset with wearing/non-wearing tags.

Usage

marking(
  dataset,
  frame,
  cts = getOption("pa.cts"),
  streamFrame = NULL,
  allowanceFrame = 2,
  newcolname = "wearing"
)

Arguments

dataset	The source dataset, in dataframe format, which needs to be marked.
frame	The size of time interval to be considered.
cts	The name of the counts column. The default is "axis1".
streamFrame	The size of time interval that the program will look back or forward if activity is detected. The default is the half of frame.
allowanceFrame	The size of time interval that zero counts allowed. The default is 2.
newcolname	The wearing marking column name. The default is "wearing". After the data is processed, a new field will be added to the original dataframe. This new field is the wearing /nowwearing indicator.

Value

A dataframe with an extra wearing/non-wearing marking column.

Author(s)

Zhouwen Liu [e-mail]

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.

PhysicalActivity documentation built on Jan. 23, 2021, 1:06 a.m.