Experimental Data Analyst

Features

Data Fitting

• Least-Square Linear Fitting with Arbitrary Basis Functions
• Nonlinear Fitting Using the Levenberg-Marquardt Iterative Algorithm
• Parameter Estimation in Spectra Peaks
• Data Fitting with Outliers Using the Median or Weighted Residuals
• Data Smoothing with Averaging Techniques, Fourier Filters, or Loess Fitting

Error Analysis

• Error Estimation in the Fit Parameters
• Errors in Both Coordinates of the Data
• Value Adjustment for Significant Figures
• Errors Combined in Quadrature

Data Visualization and Transformation

• Histograms
• Box Plots
• Error Coordinates Automatically Displayed
• ListPlot Extension

Reading and Using Data

• ASCII or Binary Format Importing and Exporting
• Real Experimental Data from a Variety of Fields