Skip to navigation Skip to content

quantixed

x == (s || z). You say it kwontized

  • Home
  • Twitter
  • GitHub
  • About
  • Contact
Main Navigation

Tag: Garmin

Cluster One: comparing running performance on similar courses

One of several features that Strava put behind a paywall was the ability to compare performance on similar courses. I miss this comparison tool and wondered how hard it would be to code my own. This post is a walkthrough of how I approached the problem. The code is available here. It uses the trackeR […]

15th October 2020By quantixed computing, fun Garmin, gpx, IgorPro, StravaOne Comment

Running Free: Calculating Efficiency Factor in R

Joe Friel reposted an article earlier this year on Efficiency Factor in running. Efficiency Factor (EF) can be viewed in Training Peaks software and he describes how it is calculated. This post describes how I went about calculating EF in R using a single gpx file. What is Efficiency Factor (EF)? Essentially, EF is the […]

19th May 2020By quantixed fun Garmin, GPS, gpx, plots, Rstats, running2 Comments

Garmonbozia: Using R to look at Garmin CSV data

Garmin Connect has a number of plots built in, but to take a deeper dive into all your fitness data, you need to export a CSV and fire up R. This post is a quick guide to some possibilities for running data.  There’s a few things that I wanted to look at. For example, how […]

9th April 2019By quantixed adventures in code, computing Garmin, Rstats, running2 Comments

Multiplex: Small multiple artwork from GPX tracks

I’d seen the small multiple artwork of running and cycling routes from Marcus Volz’s R package Strava all over the web. Ads for “posters of your GPS tracks” pop up on Reddit and I’d notice a few #Rstats people put up their posters on Twitter. I’ve had the package bookmarked for a while and this week […]

21st September 2018By quantixed adventures in code, fun Garmin, generative art, GPS, gpx, RstatsLeave a Comment

Turn That Heartbeat Over Again: comparing wrist and chest-strap HRM

As a geek, the added bonus of exercise is the fun that you can have with the data you’ve generated. A recent conversation on Twitter about the accuracy of wrist-based HRMs got me thinking… how does a wrist-based HRM compare with a traditional chest-strap HRM? Conventional wisdom says that the chest-strap is more accurate, but […]

15th May 2018By quantixed fun cycling, Garmin, IgorPro, RstatsLeave a Comment
Follow @quantixed

quantixed
@quantixed

  • New post: Methods papers for MD997 – 2021 Edition quantixed.org/2021/01/14/met…
    about 1 day ago via quantixedDotOrg
  • Interesting perspective on the most important advances in statistics in the last 50 years. Spoiler: computing! arxiv.org/abs/2012.00174
    about 2 days ago via TweetDeck
  • RT @theosanderson: PHE has released the underlying data behind the B.1.1.7 technical report, allowing us to see the spread of the new varia…
    about 7 days ago via TweetDeck
Recent Posts
  • Methods papers for MD997 – 2021 Edition
  • Tips From The Blog XIV: embedded file locations in an Adobe Illustrator file
  • All My Trials: Impact of COVID-19 on rare disease clinical trials
  • Cluster One II: comparing cycling performance on similar courses
  • Cluster One: comparing running performance on similar courses
Tags
advice bash Biology Open bioRxiv books cell biology citations code cycling dataviz eLife endocytosis FIJI Garmin GPS graphs h-index Igor IgorPro ImageJ Impact Factor iTunes JIF Journal of Cell Biology lablife lag times LaTeX maths mbp mentorship metrics organisation outreach papers plots preprints productivity publishing Rstats running science statistics tftb Twitter writing
Categories
  • adventures in code
  • computing
  • development
  • fun
  • funding
  • music
  • opinion
  • publishing
  • reading
  • science
  • the digital cell
  • Uncategorized
Get quantixed by email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

RSS

RSS Feed RSS - Posts

RSS Feed RSS - Comments

Blogroll
  • R-bloggers
  • TIR Blog
  • Flowing Data
  • R-users
Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
CC-BY
Creative Commons Licence
Content from quantixed.org by Stephen Royle is licensed under a Creative Commons Attribution 4.0 International License.
© quantixed 2021 • ThemeCountry Powered by WordPress