example_data_5_subject

Dexcom G4 CGM measurements for 5 subjects with Type II diabetes.
 These data are part of a larger study sample that consisted of patients with Type 2
 diabetes recruited from the general community. To be eligible, patients with Type 2 diabetes, not using insulin therapy and with a glycosylated hemoglobin (\(HbA_{1c}\)) value at least 6.5

datasets

Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.

Irina Gaynanova

iglu

Interpreting Glucose Data from Continuous Glucose Monitors

Elizabeth Chun

Steve Broll

David Buchanan

John Muschelli

Nathaniel Fernandes

Jung Hoon Seo

Johnathan Shih

Jacek Urbanek

John Schwenck

Marielle Hicban

Mary Martin

Pratik Patel

Meyappan Ashok

Nhan Nguyen

example_data_5_subject function

A data.frame with 13866 rows and 3 columns, which are:<dl>
<dt>id</dt>
<dd>identifier of subject</dd><dt>time</dt>
<dd>date and time stamp</dd><dt>gl</dt>
<dd>glucose level as measured by CGM (mg/dL)</dd>
</dl>

Format

Example CGM data for 5 subjects with Type II diabetes — example_data_5_subject

A data.frame with 13866 rows and 3 columns, which are:<dl>
<dt>id</dt>
<dd>identifier of subject</dd>

<dt>time</dt>
<dd>date and time stamp</dd>

<dt>gl</dt>
<dd>glucose level as measured by CGM (mg/dL)</dd>


</dl>

Example CGM data for 5 subjects with Type II diabetes

example_data_5_subject: Example CGM data for 5 subjects with Type II diabetes

Description

Usage

Arguments

Format