preprocessgvp: preprocessing raw data from continuous glucose monitoring

In gluvarpro: Glucose Variability Measures from Continuous Glucose Monitoring Data

preprocessing raw data from continuous glucose monitoring

Description

Generic function for preprocessing raw data from continuous glucose monitoring with glucose values collected with sampling time of 5 or 15 minutes each. The function is specially designed for preprocessing data from Medtronic and Abbott continuous glucose monitoring.

Usage

preprocessgvp(x, dp = 2, tp = 3, gp = 31, ts = 5, df = "yyyy/mm/dd",
        tf = "hh:mm:ss", all = FALSE, type = "normal")

Arguments

x	Data-set with data frame format containing at least two or three columns: date: date of the observation with only the date or the date plus the time. time: time of the observation with 24 hour format. glucose: glucose value of the observation.
dp	Numeric value with column position where the variable date is. Default value of 2.
tp	Numeric value with column position where the variable time is. Default value of 3.
gp	Numeric value with column position where the variable glucose is. Default value of 31.
ts	Numeric value with sampling time of glucose values. Permitted values are 5 and 15 minutes. Default value of 5 minutes.
df	Character value with the format of variable date. Permitted values are yyyy/mm/dd and dd/mm/yyyy. Default value is yyyy/mm/dd.
tf	Character value with the format of variable time. Permitted values are hh:mm:ss and hh:mm. Default value is hh:mm:ss.
all	Logical value for showing all columns of data frame (TRUE) or only columns for variables date, time and glucose (FALSE). Default value is FALSE.
type	Character value to control the different types of prerpocessing. To preserve time slots use normal. For round time slots to 5 or 15 minutes between registers use round. For round time to slots 5 or 15 minutes between registers and complete missing time slots use complete. Default value is normal.

Value

A data frame containing date, time, glucose values and all other variables from the original data-set.

Author(s)

Sergio Contador.

See Also

datagvp4

Examples

data("datagvp4")
preprocessgvp(datagvp4)

gluvarpro documentation built on Oct. 1, 2022, 5:05 p.m.