JMP Pro: Analyzing Curves and Profiles Using the Functional Data Explorer

This course helps you recognize and model functional data. It teaches you to use the data as a response, such as the outcome for a designed experiment, or as new covariates or features, such as in a multivariate analysis.

Functional data are defined as a function, profile, or curve. They are a series of observations over time or any other continuous variable. These data can be modeled so that changes in the shape can be associated with changes in other variables.

Apprendre à

• Recognize functional data and their uses.
• Preprocess data to suit the functional data analysis.
• Select a model of the functions.
• Obtain optimal representations of the functions.
• Use the new representations as the responses in the analysis of a designed experiment.

A qui s’adresse cette formation ?

Directors, managers, engineers, scientists, technicians, and analysts who work with functional data to design, develop, improve, and optimize a product or process

Formats de formation disponibles	Durée standard (peut varier selon les sessions. Se référer au calendrier)
Formations à distance:	4 sessions d'une demi-journée chacune

Before attending this course, you should complete the JMP® : Analyse exploratoire des données and JMP® : ANOVA et Régression courses or have equivalent experience.

Cette formation concerne JMP logiciel

JMP Pro 15

Explore Functional Data

• Define functional data and their forms.

Preprocess Functional Data

• Identify different formats of functional data.
• Clean up functional data (recoding tasks).
• Transform functional data output (centering and scaling, other common transformations).
• Align functional data input.

Fit Models of Functional Data

• Describe a basis function expansion as a model for a continuous function.
• Optimize trade-off between model bias and variance with smoothing.
• Select splines or Fourier basis for the model.
• Fit the model.
• Select the best model.
• Diagnose the model.

Extract Functional Principal Components

• Describe the principal components analysis of continuous functions.
• Derive and use functional principal component scores.

Functional Analysis of Experiments

• Identify the goals of the analysis of an experiment.
• Estimate factor effects on the functional principal components.

Capstone Case Studies

• Select one of several new cases chosen from different industries to practice a complete functional data analysis.