The R package CGManalyzer contains functions for analyzing data from a continuous glucose monitoring (CGM) study. It covers a wide and comprehensive range of data analysis methods including reading a series of datasets, obtaining summary statistics of glucose levels, plotting data, transforming the time stamp format, fixing missing values, evaluating the mean of daily difference and continuous overlapping net glycemic action, calculating multiscale sample entropy, conducting pairwise comparison, displaying results using various plots including a new type of plot called an antenna plot, etc. This package has been developed from our work in directly analyzing data from various CGM devices such as the FreeStyle Libre, Glutalor, Dexcom and Medtronic CGM. Thus, this package should greatly facilitate the analysis of various CGM studies. Availability and implementation The package for Windows is available from CRAN: http://cran.r-project.org/mirrors.html. The source file CGManalyzer-1.0.tar.gz is available in theSupplementary Materialand at the website of Zhang's lab https://quantitativelab.fhs.umac.mo/analytic-tool/. Contact email@example.com Supplementary informationSupplementary dataare available at Bioinformatics online.
|Number of pages||3|
|State||Published - May 1 2018|
Bibliographical noteFunding Information:
This work was supported by the Start-up Research Grant (SRG2016-00083-FHS) at University of Macau.
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ASJC Scopus subject areas
- Statistics and Probability
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics