extractdata: Process and analyze the Actigraphy Data to csv file

Description Usage Arguments Value

View source: R/extractdata.R

Description

Process and analyze the Actigraphy Data to csv file

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
extractdata(
  table_raw,
  initalize,
  identifier = FALSE,
  rangetype = c("DAILY", "REST", "SLEEP", "ACTIVE"),
  actiware_property = c("Actiwatch Type:", "Logging Mode:", "Time Zone:",
    "Epoch Length:", "Number of Days:", "Actiwatch Serial Number:",
    "Actiwatch Firmware Version:", "Activity Calibration Factor:",
    "White Calibration Factor:", "Red Calibration Factor:", "Green Calibration Factor:",
    "Blue Calibration Factor:"),
  calcols_byday_chosen = c("Start Time", "End Time", "Duration", "Sleep Time", "WASO",
    "Fragmentation", "Efficiency", "Onset Latency", "Avg White", "Avg Green", "Avg Red",
    "Avg Blue"),
  calcols_overall_chosen = c("Start Time", "End Time", "Duration", "Sleep Time",
    "WASO", "Fragmentation", "Efficiency", "Onset Latency", "Avg White", "Avg Green",
    "Avg Red", "Avg Blue"),
  cols_chosen = c("Interval Type", "Interval#", "Start Time", "End Time", "Duration",
    "Off-Wrist", "Total AC", "Onset Latency", "Efficiency", "WASO", "Sleep Time",
    "Fragmentation")
)

Arguments

table_raw

Import Actigraphy Raw data

initalize

Import Initialize Raw data

identifier

If False(default), output identifier variables such as Name, Age etc.

rangetype

Decide which type of interval will be output. The default values are all four intervals: Active, DAILY, REST, SLEEP.

actiware_property

Output useful variables in Actiware Data Property section

calcols_byday_chosen

Calculate the mean value of columns by weekday and weekend

calcols_overall_chosen

Calculate the overall mean value of columns

cols_chosen

Select variables to output for each day. Please note variables Interval Type & Interval# are required in the list

Value

The final result


jiqiaingwu/ActigraphyUtah documentation built on April 25, 2021, 9:22 p.m.