Functional data can come from many different areas of study. Some of the most common examples come from finance (for example stock prices over time), or from health research (such as fMRI time series). Analyzing data of this form has been done traditionally using time series analysis techniques. However, viewing the data as functional, rather than individual observed points, can lead to more natural interpretations and analysis. Here we will be looking at a single example data set, and learning how to represent discrete data as functional data objects.
Bootstrapping is a statistical technique for analyzing the distributional properties of sample data (such as variability and bias). It has many uses, and is generally quite easy to implement. Continue reading to learn how you can perform a bootstrap procedure in R!
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optimizeAPA is an R package which allows for multi-parameter optimization. That means you can use it to find the maximum (or the minimum) value of a function with many input values. What makes optimizeAPA unique? It works with arbitrary precision arithmetic.
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Welcome to the world of manifold regression! In part 2 we will apply manifold regression to a case study involving fMRI brain imaging data using R and MGLMRiem. See part 1 for an introduction to these models.
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Welcome to the world of manifold regression! In part 1 we will introduce the basic concepts, overview the theory behind regression on manifolds, develop an intuition for these models, and discuss their applications.
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Welcome to DSS Blogs, a peer-reviewed blogging journal about reproducible analytics, functional graphing, statistical modeling, and data visualization.
This working group also reports on the activities of the Data Science Studio at the Institute of Aging and Lifelong Health, University of Victoria. If you are interested in being featured on the DSS Blogs, please consult our How to Contribute guide detailing how you can submit your blogpost for the peer review.
This is a guide detailing how you can deploy your article to be featured on the DSS Blog. All published posts are peer reviewed by two members of the DSS editorial team. Whether you are a new member, part of the editorial team, or an Acting Admin, this guide will serve as a road map to create and promote posts on DSS Blogs. ————–
Table of Content Adding a New Post Blog Authors New Post Template Required Components Create Summary Image From Template Create Summary Text and Link Editorial Team Flagged as Reviewer Acting Admin Merge Request Adding a New Post Please note that this post assumes that you have: