G3F

G3F: Global, Multidimensional Spectral Regression Analysis - Published in JOSS (2019)

https://github.com/dap-biospec/g3f

Science Score: 93.0%

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Repository

G3F: Global, Multidimensional Spectral Regression Analysis

Basic Info
  • Host: GitHub
  • Owner: dap-biospec
  • License: gpl-3.0
  • Language: IGOR Pro
  • Default Branch: master
  • Homepage:
  • Size: 3.12 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Created almost 7 years ago · Last pushed almost 7 years ago
Metadata Files
Readme License

README.md

G3F

Note: This software requires IgorPro v. 8.0 to run.

The G3F is a Global, Multidimensional Spectral Regression Analysis package for IgorPro. It allows to apply flexible combinations of global parameters and dimensionally local (spectral) parameters to 2- and 3-dimensional data matrices.

LOADING AND OPENING G3F IN IGOR PRO:

The G3F package consists of several files:

  • G3F_Main.ipf
  • G3F_Auxillary.ipf
  • G3F_Desktop.ipf
  • G3F_DoTheFit.ipf
  • G3F_Feedback.ipf
  • G3F_FitFlow.ipf
  • G3F_Guesses.ipf
  • G3F_List&Set.ipf
  • G3F_Setup.ipf
  • G3F_Struct.ipf

Download all files from G3F folder and save in one local folder.

From the top menu IgorPro:
File -> Open File -> Procedure…

Navigate to and select the G3F_Main.ipf file to load. Complile G3F_Main.ipf - this will load all dependnet procedure file slisted above.

Opening main G3F control panel:

From the top menu IgorPro:
Analysis -> Global 3D Spectral Regression -> Control Panel

For further details on G3F structure and function, please see:
G3F API
G3F Manual

A Demo Experiment is included with this package. The tutorial is in the Demo Experiment section of the manual.

Performance testing: A performance test is included with this package in the Demo folder. This is intended to allow users to test user-defined functions against control data.

Community Guidelines

Bug reports and requests for improvements, and new features are welcomed! Please feel free to make a post to Biospec Github Issue Tracker or contact Denis A. Proshlyakov, dapro@chemistry.msu.edu

Owner

  • Login: dap-biospec
  • Kind: user

JOSS Publication

G3F: Global, Multidimensional Spectral Regression Analysis
Published
August 27, 2019
Volume 4, Issue 40, Page 1629
Authors
Allison M. Stettler ORCID
Department of Chemistry, Michigan State University
Christopher W. John ORCID
Department of Chemistry, Michigan State University
Yegor D. Proshlyakov ORCID
Department of Chemistry, Michigan State University
Denis A. Proshlyakov ORCID
Department of Chemistry, Michigan State University
Editor
Kyle Niemeyer ORCID
Tags
Igor Pro chemistry spectroscopy multivariable fitting multidimensional fitting multidimensional data sets non-linear global regression simulation software

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