Many instruments and sensors generate data over a continuum. Analyzing and understanding this “curve” data can be difficult at best, especially when you are trying to analyze data over the whole continuum.  Many chemometric techniques are options, but for analyzing curve data, they are basically analyzing the data point by point instead of the whole curve or group of curves at once.

Functional data analysis is one of the newer methods that has come the forefront for analyzing curve data.  This presentation uses case studies on chromatographic and spectral data that show the utility of analyzing data over the continuum in conjunction with more traditional chemometric methods. Some of the newer chemometric analysis techniques in JMP Pro 18 Functional Data Explorer are highlighted.