Time_long: Timne Metrics for Whole Dataset

In junruidi/actigraphy: Feature Extraction from Minute Level Actigraphy Data

Description

This function is a whole dataset wrapper for Time

Usage

Time_long(count.data, weartime, thresh, smallerthan = TRUE,
  bout.length = 1)

Arguments

count.data	data.frame of dimension n*1442 containing the 1440 minute activity data for all n subject days. The first two columns have to be ID and Day.
weartime	data.frame with dimension of count.data. The first two columns have to be ID and Day.
thresh	threshold to binarize the data.
smallerthan	Find a state that is smaller than a threshold, or greater than or equal to.
bout.length	minimum duration of defining an active bout; defaults to 1.

Value

A dataframe with some of the following columns

ID	identifier of the person
Day	indicator of which day of activity it is, can be a numeric vector of sequence 1,2,... or a string of date
time	time of certain state

Examples

data(example_activity_data)
count = example_activity_data$count
wear = example_activity_data$wear
sed_all = Time_long(count.data = count,weartime = wear,
thresh = 100,bout.length = 1,smallerthan = TRUE)

junruidi/actigraphy documentation built on Sept. 25, 2019, 7:48 a.m.