Continuous Glucose Monitoring Data Analyzer
call a C function to calculate multiscale entropy
draw an antenna plot
Draw a boxplot for continuous glucose monitoring data sensor by sensor
tools:::Rd_package_title("CGManalyzer")
Function to calculate the continuous overlapping net glycemic action (...
Function to derive the data with equal interval
function to convert a factor to a vector
Function to fix missing values in a vector
Function to calculate the mean of daily differences (MODD)
Plot the mean and standard error or standard deviation of multiscale e...
function to calculate mean difference and its confidence interval, SSM...
function to plot time series data
Load settings for the selected SPEC parameter.
function to derive the type of effect size based on SSMD values
Function to calculate the summary statistics for each subject or senso...
function to convert a matrix (with columns for year, month, day, minut...
Contains all of the functions necessary for the complete analysis of a continuous glucose monitoring study and can be applied to data measured by various existing 'CGM' devices such as 'FreeStyle Libre', 'Glutalor', 'Dexcom' and 'Medtronic CGM'. It reads a series of data files, is able to convert various formats of time stamps, can deal with missing values, calculates both regular statistics and nonlinear statistics, and conducts group comparison. It also displays results in a concise format. Also contains two unique features new to 'CGM' analysis: one is the implementation of strictly standard mean difference and the class of effect size; the other is the development of a new type of plot called antenna plot. It corresponds to 'Zhang XD'(2018)<doi:10.1093/bioinformatics/btx826>'s article 'CGManalyzer: an R package for analyzing continuous glucose monitoring studies'.