Function reference • iglu

All functions

CGMS2DayByDay(): Interpolate glucose value on an equally spaced grid from day to day

above_percent(): Calculate percentage of values above target thresholds

active_percent(): Calculate percentage of time CGM was active

adrr(): Calculate average daily risk range (ADRR)

agp(): Display Ambulatory Glucose Profile (AGP) statistics for selected subject

agp_metrics(): Calculate metrics for the Ambulatory Glucose Profile (AGP)

all_metrics(): Calculate all metrics in iglu

auc(): Calculate Area Under Curve AUC

below_percent(): Calculate percentage below targeted values

calculate_sleep_wake(): Calculate metrics for values inside and/or outside a specified time range.

cogi(): Calculate Continuous Glucose Monitoring Index (COGI) values

conga(): Continuous Overall Net Glycemic Action (CONGA)

cv_glu(): Calculate Coefficient of Variation (CV) of glucose levels

cv_measures(): Calculate Coefficient of Variation subtypes

ea1c(): Calculate eA1C

epicalc_profile(): Display Episode Calculation statistics for selected subject

episode_calculation(): Calculates Hypo/Hyperglycemic episodes with summary statistics

example_data_1_subject: Example CGM data for one subject with Type II diabetes

example_data_5_subject: Example CGM data for 5 subjects with Type II diabetes

example_data_hall: Example data from Hall et al. (2018)

example_meals_hall: Example mealtimes data from Hall et al. (2018)

gmi(): Calculate GMI

grade(): Calculate mean GRADE score

grade_eugly(): Percentage of GRADE score attributable to target range

grade_hyper(): Percentage of GRADE score attributable to hyperglycemia

grade_hypo(): Percentage of GRADE score attributable to hypoglycemia

gri(): Calculate Glycemia Risk Index (GRI)

gvp(): Calculate Glucose Variability Percentage (GVP)

hbgi(): Calculate High Blood Glucose Index (HBGI)

hist_roc(): Plot histogram of Rate of Change values (ROC)

hyper_index(): Calculate Hyperglycemia Index

hypo_index(): Calculate Hypoglycemia Index

igc(): Calculate Index of Glycemic Control

iglu_shiny(): Run IGLU Shiny App

in_range_percent(): Calculate percentage in targeted value ranges

iqr_glu(): Calculate glucose level iqr

j_index(): Calculate J-index

lbgi(): Calculate Low Blood Glucose Index (LBGI)

m_value(): Calculate the M-value

mad_glu(): Calculate Median Absolute Deviation (MAD)

mag(): Calculate the Mean Absolute Glucose (MAG)

mage(): Calculate Mean Amplitude of Glycemic Excursions

mage_ma_single(): Calculates Mean Amplitude of Glycemic Excursions (see "mage")

meal_metrics(): Calculate Meal Metrics

mean_glu(): Calculate mean glucose level

median_glu(): Calculate median glucose level

metrics_heatmap(): Create a heatmap of metric values by subject based on hierarchical clustering order

modd(): Calculate mean difference between glucose values obtained at the same time of day (MODD)

optimized_iglu_functions(): Optimized Calculations of Time Dependent iglu Metrics

pgs(): Calculate Personal Glycemic State (PGS)

plot_agp(): Plot Ambulatory Glucose Profile (AGP) modal day

plot_daily(): Plot daily glucose profiles

plot_glu(): Plot time series and lasagna plots of glucose measurements

plot_lasagna(): Lasagna plot of glucose values for multiple subjects

plot_lasagna_1subject(): Lasagna plot of glucose values for 1 subject aligned across times of day

plot_ranges(): Plot Time in Ranges as a bar plot

plot_roc(): Plot time series of glucose colored by rate of change

process_data(): Data Pre-Processor

quantile_glu(): Calculate glucose level quantiles

range_glu(): Calculate glucose level range

read_raw_data(): Read raw data from a variety of common sensors.

roc(): Calculate the Rate of Change at each time point (ROC)

sd_glu(): Calculate sd glucose level

sd_measures(): Calculate SD subtypes

sd_roc(): Calculate the standard deviation of the rate of change

summary_glu(): Calculate summary glucose level