"Data analysis" derives meaning or significance from raw data: it answers questions like "how much?", "how high?", or "how often?". Since Igor Pro® aims to serve a wide range of disciplines, it provides many analysis capabilities to choose from. We present them here in our somewhat arbitrary categories:

Curve Fitting

Linear and non-linear fits

 

Built-in and user-defined functions

Multi-variate fits involving unlimited independent variables

 

Peak Analysis

Peak and level-crossing detection

Fitting multiple overlapping peaks

Baseline removal

 

Signal Processing

Multi-dimensional mixed-radix FFT, wavelet, Hough transforms

Integration and differentiation of data

Convolution and correlation

Smoothing and filtering

 

Statistics

Descriptive statistics such as mean, standard deviation and higher central moments

Statistical Tests

Probability Distribution Functions, Cumulative Distribution Functions and Inverse CDFs

Histograms, Sorting, Resampling, Correlations and Linear Regression

See Also:

Data Manipulation

Analysis of Functions