The function plot_agp produces an AGP plot that collapses all data into a single 24 hr "modal day".
plot_agp(data, LLTR = 70, ULTR = 180, dt0 = NULL, inter_gap = 45, tz = "", title = FALSE)DataFrame object with column names "id", "time", and "gl". Should only be data for 1 subject. In case multiple subject ids are detected, the warning is produced and only 1st subject is used.
Lower Limit of Target Range, default value is 70 mg/dL.
Upper Limit of Target Range, default value is 180 mg/dL.
The time frequency for interpolation in minutes, the default will match the CGM meter's frequency (e.g. 5 min for Dexcom).
The maximum allowable gap (in minutes) for interpolation. The values will not be interpolated between the glucose measurements that are more than inter_gap minutes apart. The default value is 45 min.
A character string specifying the time zone to be used. System-specific (see as.POSIXct), but " " is the current time zone, and "GMT" is UTC (Universal Time, Coordinated). Invalid values are most commonly treated as UTC, on some platforms with a warning.
Indicator whether the title of the plot should display the subject ID. The default is FALSE (no title).
Plot of a 24 hr modal day collapsing all data to a single day.
Only a single subject's data may be plotted. The horizontal green lines represent the target range, default is 70-180 mg/dL. The black line is the median glucose value for each time of day. The dark blue shaded area represents 50% of glucose values - those between the 25th and 75 quartiles. The light blue shaded area shows 90% of the glucose values - those between the 5th and 95th quartiles. Additionally, the percents shown on the right hand side of the plot show which quartile each line refers to - e.g. the line ending at 95% is the line corresponding to the 95th quartile of glucose values.
Johnson et al. (2019) Utilizing the Ambulatory Glucose Profile to Standardize and Implement Continuous Glucose Monitoring in Clinical Practice, Diabetes Technology and Therapeutics 21:S2 S2-17-S2-25, 10.1089/dia.2019.0034.
# NOT RUN {
data(example_data_1_subject)
plot_agp(example_data_1_subject)
# }
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