ndCurveMaster User Manual

Contents

• • QuickStart guide
  • Toolbar
  • Open a Data Set
  • Start model fitting to data
  • Fitting a Model Using the "Advanced Search" Option
  • Model Fitting Using the "Random Search" and "Randomly Iterated Search" Method
  • Fitting Polynomial Regression
• Methods:
  • Advanced Search
  • Random Search
  • Randomly Iterated Search
  • Manual Reduction
  • Manual Expansion
  • Auto Reduce
  • Auto Expand
  • Lock
  • Exporting a Function to Python, C/C++, or Pascal
  • Saving and Loading a Function from a File
  • Settings
• Results
• The model equation window
• The "Statistics" window
• The Pearson Correlation Matrix
• The Data window
• The Graphs window
• Fit-line curve
• Scatterplot
• Residuals
• Standardized Residuals
• Histogram
• Q-Q Plot and Normality Tests
• Machine Learning in ndCurveMaster
• The detection of multicollinearity
• Heuristic techniques
• Overfitting Detection
• Scaling Datasets
• List of functions
• Transferring ndCurveMaster to another computer
• Tutorials & Practical Examples:
  • Nonlinear Regression Tutorial – full workflow
  • Bland–Altman model improvement
  • Elimination of multicollinearity
  • Curve fitting tutorial
  • 4D curve fitting (multivariable models)
  • Discovering physical equations from data
  • Calculating constants of differential equations

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