CGManalyzer: an R package for analyzing continuous glucose monitoring studies | Zendy

Xiaohua Douglas Zhang | Zendy; Zhaozhi Zhang | Zendy; Dandan Wang | Zendy

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CGManalyzer: an R package for analyzing continuous glucose monitoring studies

Author(s) -

Xiaohua Douglas Zhang,

Zhaozhi Zhang,

Dandan Wang

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx826

Subject(s) - r package , computer science , data mining , pairwise comparison , plot (graphics) , data file , database , statistics , mathematics , artificial intelligence , computational science

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.

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