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Related Experiment Videos

BASIC program for non-parametric fitting of user-defined functions to experimental data with plotting of results.

S D Carson1

  • 1Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha 68105-1065.

Computer Methods and Programs in Biomedicine
|August 1, 1989
PubMed
Summary
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This study introduces SIMPLOT7, a software tool that graphically displays experimental data and fits user-defined mathematical models. It aids researchers in selecting appropriate models for non-linear experimental results.

Area of Science:

  • Data visualization
  • Computational modeling
  • Scientific software development

Background:

  • Experimental data often requires mathematical modeling for interpretation.
  • Non-linear relationships between variables are common in scientific experiments.
  • Effective visualization tools are crucial for model selection and validation.

Purpose of the Study:

  • To present SIMPLOT7, a novel software for graphical display and non-parametric fitting of experimental data.
  • To provide a tool for fitting user-defined functions to experimental results.
  • To facilitate the decision-making process for selecting mathematical models.

Main Methods:

  • SIMPLOT7 utilizes Microsoft QuickBASIC for development.
  • The software employs a simplex-based non-parametric minimization algorithm.

Related Experiment Videos

  • User-defined functions with up to seven parameters can be fitted to the data.

    • Main Results:

    • SIMPLOT7 offers graphic display of experimental data.
    • It performs non-parametric fitting of user-defined functions.
    • The software visualizes both the fitted function and the original data for inspection.

    Conclusions:

    • SIMPLOT7 provides a valuable tool for analyzing experimental data with non-linear relationships.
    • The software assists researchers in fitting and validating mathematical models.
    • Graphic displays enhance the understanding of model performance against experimental results.