DSS Blogs

1 min read R, Statistics, Tutorial, Functional Data Analysis

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.
1 min read Reproducible Research

This post dives into the elucidate package and how it can help you explore data using sets of functions for interrogating, describing, visualising, interacting with, and correcting data. This is a key stage of any analysis where errors are found and interesting relationships begin to appear. Click here for the full post.

Last updated on 4 min read reproducible research, R programming, data science

In this issue: Capturing Screen into GIFs with open source software High precision summations Placing axis labels on each facet with lemon pacakge Tidy evaluation in functions with {{}} from rlang package Referencing current data set when building sublayers in ggplot2 Screen Recording by Craig Hutton Demonstrating the functionality of a given function or technique is often more effective and efficient when using animated GIFs. The following two software will help you create GIFs with ease and for free!
1 min read Reproducible Research

Dates/times are the last type of data you’ll probably work with on a fairly regular basis. This post will show you how to use the lubridate tidyverse package in R so you’ll know how to handle dates & times when you encounter them. Click here to read the full post.

1 min read analytic workflow, graph making, reproducible research

Graphing the trends of suicides in Florida from 2006 to 2017 among youth between 10 and 24 years of age.
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Recent & Upcoming Talks

We look back at the 2018-2019 season of Data Science Studio, report on the Studio’s activity in the past year, and plan for the …
Jul 29, 2019 12:00 AM

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Andriy Koval

Health Management & Informatics, University of Central Florida

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Ken Moselle

Applied Clinical Research Unit of Vancouver Island Health Authority, Director

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Data Science Studio

Interdisciplinary learning collaborative for data science on health and aging.

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Matthew Parker

Doctoral Student, Simon Fraser University

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Andriy Koval

Health Management & Informatics, University of Central Florida

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Craig Hutton

Postdoctoral Research Fellow, University of Victoria

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Matthew Parker

Doctoral Student, Simon Fraser University

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Andriy Koval

Health Management & Informatics, University of Central Florida

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Craig Hutton

Postdoctoral Research Fellow, University of Victoria

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Kyle Belanger

Application Specialist, Roche Diagnostics

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Ken Moselle

Applied Clinical Research Unit of Vancouver Island Health Authority, Director

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