Data Analysis Software and Curve Fitting Tool for Researchers
Curve fitting is a crucial data analysis tool that models relationships in data for interpretation and prediction across multiple scientific and technological fields. It involves finding the mathematical function, from a simple straight line to complex nonlinear regressions, that best describes the relationship between variables in a dataset. Finding this function manually using only, for example, an Excel spreadsheet can be time-consuming and inefficient, as shown in the tutorial at this link. So, for faster and more accurate results with complex multivariate nonlinear regression equations, we have developed our innovative software, ndCurveMaster and ndCurveMaster 2D.
ndCurveMaster: Multivariable Nonlinear Regression and Curve Fitting Software
ndCurveMaster supports curve fitting across multiple dimensions (or input variables), from 2D up to an unlimited number of dimensions (nD), and is capable of handling data of any complexity. This flexibility in managing multiple input variables makes it a unique multivariable curve fitting tool on the market. For example, it can automatically derive an equation for a dataset with six input variables (from x1 to x6) and an output variable Y, as shown here:
Y = a0 + a1 · exp(x1)-0.5 + a2 · ln(x2)8 + ... + a6 · x65.2
. This precision ensures accurate matching with measured values.
Using heuristic techniques and machine learning algorithms, ndCurveMaster automatically finds the most suitable nonlinear functions for your datasets. It supports various types of curve fitting, including linear, polynomial, and nonlinear, and comes equipped with validation and goodness-of-fit tests such as overfitting and multicollinearity detection (VIF and Pearson matrix). Results can be quickly generated and exported to Excel, Python, C/C++, and Pascal for further analysis.
Unique Features of ndCurveMaster:
- Automatically discover the best nonlinear regression equation with an unlimited number of input variables and their combinations.
- Use the latest scientific solutions, including heuristic techniques and machine learning algorithms for curve fitting.
- Utilize comprehensive data analysis tools, including ANOVA, the p-test, Variable Sensitivity Analysis, Q-Q Plot, and collinearity detection.
- Detect multicollinearity and overfitting through robust test set validation, cross-validation, collinearity analysis, and the Pearson correlation matrix.
- Evaluate result quality using various performance criteria.
- Generate high-quality results rapidly, saving significant time.
Overall, ndCurveMaster is an indispensable curve fitting tool for researchers, scientists, and students working with complex data sets. A free 9-day trial is available.
Discover all featuresndCurveMaster 2D: Curve Fitting Software for Free
Are you searching for free curve fitting software? Try ndCurveMaster 2D, a completely freeware tool that is fully functional without any time restrictions. This version is ideal for simpler datasets with a single input variable. Here is an example of a nonlinear regression equation developed using this software: Y = a0 + a1 · ln5(x) + a2 · x1/2 + a3 · x1.3 + a4 · ln2(x) + … + an · exp(x)