marking function

Marking Data with Wearing Tags

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

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.

Returns

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

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.

Author(s)

Zhouwen Liu zhouwen.liu@vumc.org