Patrick Ward

@OSPpatrick

Sports Scientist/Data Analyst -- Tweeting About: Strength & Conditioning, Physiology, Sports Performance, Data Science -- All opinions are my own.

Seattle, WA
optimumsportsperformance.com/blog/
Vrijeme pridruživanja: veljača 2009.
199 fotografija ili videozapisa Fotografije i videozapisi

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  1. 2. velj

    Does anyone have a good way of pulling the raw accelerometer data from the Garmin Fenix 3 watch using R? I can’t seem to find a way to do it.

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  2. 28. sij

    An issue I see w/ Sports Sci is that people keep creating ratios & random values to describe training & suggest that some athletes did “a lot” while others did “a little”. Yet they haven’t linked these measures back to in game perf —the stuff that actually matters. Too much noise

    6 replies 14 proslijeđenih tweetova 112 korisnika označava da im se sviđa
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  3. 25. sij

    Creating A Data Dictionary Function in R

    1 reply 2 proslijeđena tweeta 10 korisnika označava da im se sviđa
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  4. 20. sij

    New Blog: TidyTuesday — Powerlifting Performance & Age

    9 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    18. sij

    Kinesiology Lecturer, Arizona State University: Lake Havasu City Programs; Lake Havasu City, AZ Application deadline is January 27, 2020.

    3 proslijeđena tweeta
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  6. proslijedio/la je Tweet
    18. sij

    Director level position now open at the NFL: analytics heavy role in Player Health and Safety

    33 proslijeđena tweeta 68 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    17. sij

    Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs 📊

    4 proslijeđena tweeta 17 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    11. sij

    Job: DATA SCIENTIST Place: ⁦⁩ 💰Salary: TBC 📆 Deadline: 1/2/20 ℹ️For more details👇

    9 proslijeđenih tweetova 20 korisnika označava da im se sviđa
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  9. 10. sij

    In the Seattle area and want to do some sports science work in Rugby? Here’s your shot!👇🏻

    I'm looking for a sport science intern in Seattle to learn and develop Any help with potential names appreciated
    1 reply 3 proslijeđena tweeta 14 korisnika označava da im se sviđa
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  10. 7. sij

    This is a lot like PhD students. Many r concerned about not doing the right analysis or not writing the best paper ever. U need to start poorly to learn & grow. It’s a process - that’s what supervisors r 4! I was fortunate to have one of the best director of studies,

    9 proslijeđenih tweetova 78 korisnika označava da im se sviđa
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  11. 7. sij

    Need some sports data to play around with?? Here an opportunity to snag some women’s soccer data....

    Check out a new R package that I created with ! NwslR has datasets on team performance and player statistics for the . We're hoping to make it easier for fans and analysts of the league to get the information they want to know.
    Prikaži ovu nit
    5 proslijeđenih tweetova 28 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    6. sij

    New opportunity available to join the Rugby AU analytics team. Applications close 24th Jan.

    30 proslijeđenih tweetova 39 korisnika označava da im se sviđa
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    5. sij

    Pay attention, this could save the life of someone you care about.

    1 reply 7 proslijeđenih tweetova 22 korisnika označavaju da im se sviđa
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  14. 4. sij

    Great Sports Science opportunity with great people in Portugal...

    5 proslijeđenih tweetova 29 korisnika označava da im se sviđa
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  15. 28. pro 2019.

    Sports Data Scientist Job Opportunity with

    2 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  16. 27. pro 2019.

    Yesterday I posted some blog articles discussing the misrepresentation of data and the book "Why We Sleep". Andrew Gelman () followed up yesterday's post with another interesting read today:

    Research and stats can be challenging to both conduct & read. Authors & media tend to over-sensationalize results or misreport scientific data. Here are 2 great blogs unpacking some of the claims made in the book, "Why We Sleep":
    1 proslijeđeni tweet 18 korisnika označava da im se sviđa
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  17. 26. pro 2019.

    Research and stats can be challenging to both conduct & read. Authors & media tend to over-sensationalize results or misreport scientific data. Here are 2 great blogs unpacking some of the claims made in the book, "Why We Sleep":

    3 proslijeđena tweeta 43 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    24. pro 2019.

    This article by introduces some very useful tools to check for statistical errors. Highly recommended!

    1 reply 32 proslijeđena tweeta 94 korisnika označavaju da im se sviđa
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  19. proslijedio/la je Tweet
    23. pro 2019.

    How many lobsters would you trade off for a human?

    3 proslijeđena tweeta 3 korisnika označavaju da im se sviđa
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  20. 23. pro 2019.

    Crowd sourcing sports science app development....

    I’m considering changing the way I calculate RSI in (now it’s FT/CT). What do you prefer? Please RT to spread the word🌎 I will implement the winner option!
    1 reply 7 korisnika označava da im se sviđa
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