equalInterval.fn

Function to derive the data with equal interval

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'.

Xinzheng Dong

CGManalyzer

Continuous Glucose Monitoring Data Analyzer

Xiaohua Douglas Zhang

Dandan Wang

Zhaozhi Zhang

Madalena Costa

equalInterval.fn function

<dl> <dt>x</dt>
<dd>time sequence</dd> <dt>y</dt>
<dd>measured response</dd> <dt>Interval</dt>
<dd>interval indicating equal space between two consecutive points</dd> <dt>minGap</dt>
<dd>the length of a chain of continuous missing values in which the missing values will not be derived from the neighbor points</dd></dl>

Arguments

Author

Function to derive the data with equal interval — equalInterval.fn

<dl>

 <dt>x</dt>
<dd>time sequence</dd>

 <dt>y</dt>
<dd>measured response</dd>

 <dt>Interval</dt>
<dd>interval indicating equal space between two consecutive points</dd>

 <dt>minGap</dt>
<dd>the length of a chain of continuous missing values in which the missing values will not be derived from the neighbor points</dd>

</dl>

equalInterval.fn: Function to derive the data with equal interval

Description

Usage

Value

Arguments

Author

Details

References

Examples