ssmdEffect.fn

function to derive the type of effect size based on SSMD values

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

ssmdEffect.fn function

<dl> <dt>ssmd.vec</dt>
<dd>a vector for SSMD value</dd> <dt>criterion</dt>
<dd>whether use the criterion for deriving the main effect type or the sub-type</dd></dl>

Arguments

Author

function to derive the type of effect size based on SSMD values — ssmdEffect.fn

<dl>

 <dt>ssmd.vec</dt>
<dd>a vector for SSMD value</dd>

 <dt>criterion</dt>
<dd>whether use the criterion for deriving the main effect type or the sub-type</dd>

</dl>

ssmdEffect.fn: function to derive the type of effect size based on SSMD values

Description

Usage

Arguments

Author

Details

References

Examples