Schedule
Our current meeting schedule Thursdays at 4pm UK time via Teams, and occasionally in person. Join our Slack channel and introduce yourself for more information and to participate (please join with your full real name, e.g. “Florence Nightingale”.
The Future
2025-06-19 START OF SUMMER BREAK
Got an idea of a session? Want to volunteer? Let us know here or email Megan
Meeting topics
2025-06-05 (Meeting #189) - An introduction to the Tidyverse (Megan L) ::: Slides
2025-05-22 (Meeting #188) - Decoding Common Errors and Fixing Code Issues (Joseph M) ::: Slides
2025-05-15 (Meeting #187) - R Markdown Walked so Quarto Could Fly: What Quarto Can Do That R Markdown Can’t (And when it matters) (Megan L) ::: Slides
2025-05-08 (Meeting #186) - Getting organised with R Projects: From Lost Scripts to Reproducible Projects (Megan L) ::: Slides ::: R Project Posit Documentation
2025-05-01 (Meeting #185) - R Bootcamp Session 12 - ANOVA (Megan L) ::: Slides ::: Bootcamp link
2025-04-10 (Meeting #184) - R Bootcamp Session 11 - T-test (Megan L) ::: Slides ::: Bootcamp link
2025-04-03 (Meeting #183) A High-Resolution Analysis of Feeding Behaviors: Do Seconds Matter in Understanding Feed Intake Patterns of Beef Heifers? (George Wager)
2025-03-13 (Meeting #182) - R Bootcamp Session 10 - Regression (Megan L) ::: Slides ::: Bootcamp link
2025-02-27 (Meeting #181) - A quick review of glmnet for penalizing regression coefficients and selecting important variables (Joseph Mhango) ::: Slides ::: Code
2025-02-20 (Meeting #180) - R Bootcamp Session 9 - Correlation (Megan L) ::: Slides :::Bootcamp link
2025-02-06 (Meeting #178) - R Bootcamp Session 8 - Distributions (Megan L) ::: Slides :::Bootcamp link
2025-01-30 (Meeting #177) - Keeping cows clean: An approach to cleaning bovine data (Tom C)
2025-01-23 (Meeting #176) - R Bootcamp Session 7 - Exploring data (Megan L) ::: Slides ::: Bootcamp link
2025-01-16 (Meeting #174) What do you want from HARUG sessions? (Megan L) ::: Slides
2024-12-05 (Meeting #173) R Bootcamp - Session 6: Data subsetting (Megan L) ::: Slides ::: Bootcamp link
2024-12-05 (Meeting #172) R Bootcamp - Session 5: Data frames (Megan L) ::: Slides ::: Bootcamp link
2024-11-28 (Meeting #171) R Bootcamp - Session 4: Data objects (Megan L) ::: Slides ::: Bootcamp link
2024-11-21 (Meeting #170) R Bootcamp - Session 3: R functions (Megan L) ::: Slides ::: Bootcamp link
2024-11-14 (Meeting #169) R Bootcamp - Session 2: R language (Megan L) ::: Slides ::: Script ::: Bootcamp link
2024-11-07 (Meeting #168) R Bootcamp - Session 1: An introduction to R and script workflow (Megan L) ::: Slides ::: Script ::: Bootcamp link
2024-10-24 (Meeting #167) Building your website on R with Distill package and Netlify (Claire P) ::: Slides
2024-10-17 (Meeting #166) Exploring the ‘esquisse’ package in R for data visualization (Megan L) ::: Code files ::: Slides
2024-10-10 (Meeting #165) Custom Optimization in R: A powerful trick for model fitting (Joseph M) ::: zip folder
2024-10-03 (Meeting #164) Modelling enteric methane emissions in UK dairy herds – milking the farm data (Tom C) ::: slides
2024-09-26 (Meeting #163) Great tables with {gt} in R (Ed H) + feedback on our Coder Dojo at Station Quarter ::: code files
2024-09-19 (Meeting #162) Founders meeting for Coder Dojo Telford Station Quarter in-person (4:30 start, Ed et al.)
2024-09-12 (Meeting #161) SADIE spatial slugs (Claire P) ::: code files
2024-09-05 (Meeting #160) Beefy tales to astound you (James M)
2024-08-29 (Meeting #159) Positron versus RStudio! (Megan L) ::: zip ::: Positron install link
2024-08-21 (Meeting #158) Practical Random Forest analysis (Ed H) ::: slides ::: tutorial
2024-08-14 (Meeting #157) On the assumption of “normality” (Ed H) ::: script ::: data
2024-07-10 (Meeting #156) Coding “Puzzle Day” activity (Ed H) ::: slides
2024-06-26 (Meeting #155) Github branch and merge! (Claire P and Megan L)
2024-06-19 (Meeting #154) Blueberry computer vision (Matt B)
2024-06-12 (Meeting #153) Effect size: Why you should care (Ed) ::: sides
2024-05-22 (Meeting #152) Wasps, Figs and Logistic Regression. Oh My! (Sotiria) ::: background report
2024-05-15 (Meeting #151) Logistic regression (Ed) ::: tutorial
2024-05-08 (Meeting #150) Github pages website (In-person + online, Ed) ::: slides
2024-05-01 (Meeting #149) GLM binomial reg analysis (Ed + Jazz W) ::: files
2024-04-24 (Meeting #148) Git & Github for interesting people (Ed) ::: slides
2024-04-17 (Meeting #147) R Stats Bootcamp Session 12 (Ed) ::: slides ::: Bootcamp 12 link
2024-04-10 (Meeting #146) R Stats Bootcamp Session 11 (Ed) ::: slides ::: Bootcamp 11 link
2024-04-03 (Meeting #145) R Stats Bootcamp Session 10 (Megan, Ed) ::: slides ::: Bootcamp 10 link
2024-03-27 (Meeting #144) R Stats Bootcamp Session 9 (Megan, Ed) ::: slides ::: Bootcamp 09 link
2024-03-20 (Meeting #143) R Stats Bootcamp Session 8 (Megan, Ed) ::: slides ::: Bootcamp 08 link
2024-03-13 (Meeting #142) R Stats Bootcamp Session 7 (Ed) ::: slides ::: Bootcamp 07 link
2024-03-06 (Meeting #141) R Stats Bootcamp Session 6 (Ed) ::: slides ::: Bootcamp 06 link
2024-02-14 (Meeting #140) R Stats Bootcamp Session 5 (Ed) ::: slides ::: Bootcamp 05 link
2024-02-07 (Meeting #139) R Stats Bootcamp Session 4 (Ed) ::: slides ::: Bootcamp 04 link
2024-01-31 (Meeting #138) R Stats Bootcamp Session 3 (Ed) ::: slides ::: Bootcamp 03 link
2024-01-24 (Meeting #137) R Stats Bootcamp Session 2 (Ed) ::: slides ::: Bootcamp 02 link
2024-01-17 (Meeting #136) R Stats Bootcamp Session 1 (Ed) ::: slides ::: Bootcamp 01 link
2023-12-20 (Meeting #135) Holidays data viz activity (Ed H) ::: slides ::: files
2023-12-13 (Meeting #134) Beginning R and stats: what training do you want and need? (group discussion led by Ed H) ::: slides ::: R Stats Bootcamp ::: Harper MSc teaching schedule
2023-12-06 (Meeting #133) Example experimental design and power (Ronald M) ::: slide files ::: Ed pwr
2023-11-29 (Meeting #132) Train a custom Yolo model in Python (Ed H) ::: slide files ::: ed owl pic ::: slide files ::: Python notebook html ::: link to Python notebook repo
2023-11-22 (Meeting #131) Basics of effect size and power for experimental design in R (Ed H + Charlotte C) ::: Power ppt ::: Cow experiment ppt ::: f^2 Effect size reading Selya 2012
2023-11-15 (meeting #130) Cattle welfare data science project (Tom C) ::: stressed cows
2023-08-02 (meeting #129) Beginning Python for applied Scientists (and other interesting people) (Ed H) ::: slides ::: data ::: colab notebook ::: Python Resources
2023-07-26 (meeting #128) Bioinformatics with and without Galaxy (Sotiria B) ::: slides
2023-07-19 (meeting #127) chatGPT + code interpreter for data analysis (Joe R)
2023-07-12 (meeting #126) Docker web app demo (Matt B) ::: instructions ::: slides
2023-07-05 (meeting #125) Simulation as a tool for experimental design (Ed H) ::: R proj files zip ::: slides
2023-06-14 (meeting #124) Docker-related session? (Matt B)
2023-06-07 (meeting #123) You’ve heard of ChatGPT, but have you heard of birdNet…? (Sophie C)
2023-05-31 (meeting #122) Progress update on DeepLabCut (George W)
2023-05-24 (meeting #121) Using ChatGPT to support data analysis - some experimental results (Ed H) chatGPT experiments slides ::: chatGPT prompts ::: milkers project zip
2023-05-17 (meeting #120) Large Language Models, ChatGPT, OpenGPT and LangChain: An overview and what you can do right now (Ed H) chatGPT slides ::: chatGPT prompts
2023-05-03 (meeting #119) My_Tidy_Data %<% Web scraping data with R and tools like readLines() and grep() (Ed H) Manual scrape project files ::: “Autoscrape” example script
2023-04-26 (meeting #118) Part 3: Animal pose and behaviour detection in Deeplabcut (George W)::: DeepLabCut website ::: George W ppt
2023-04-19 (meeting #117) Plant Spatial Statistics Ch 03 Part 2 (Przemek D) Chapter 03 ::: Plant ALL DATA
2023-04-12 (meeting #116) Part 2: Animal pose and behaviour detection in Deeplabcut (George W)::: DeepLabCut website ::: George W ppt
2023-04-05 (meeting #115) Part 1: Animal pose and behaviour detection in Deeplabcut (George W) ::: DeepLabCut website ::: George W ppt
2023-03-15 (meeting #114) Plant Spatial Statistics Ch 03 Part 1 (Przemek D) Chapter 03 ::: Plant ALL DATA
2023-03-08 (meeting #113) Bootcamp launch S02E02 (George W.) ::: Bootcamp 2
2023-02-15 (meeting #112) Natural Language Processing session #02 (Ed) ::: NLP2 slides ::: NLP2 notbook: open from github https://github.com/harper-data-science/aws-nlp :: MLA-NLP-Lecture1.2-BOW.ipynb
2023-02-01 (meeting #111) Spatial statistics with R Read Chapter 02 and exercises in Plant 2019 Spatial Data Analysis 2ed (Ed) ::: Plant ch02 ::: html slides ch 02 ::: Plant ALL DATA ::: Plant ALL CODE ::: Ed ch02 code
2023-01-25 (meeting #110) Bootcamp launch S02E01 (Ed + HARUG!) ::: Bootcamp1 ::: slides overview ::: slides Setup 01
2023-01-18 (meeting #109) Natural Language Processing session #01 (Ed) ::: NLP1 slides ::: NLP1 notbook
2023-01-11 (meeting #108) Spatial statistics with R Read Chapters 01 in Plant 2019 Spatial Data Analysis 2ed (Ed) ::: Plant ch01 ::: html slides ::: Plant ALL DATA ::: Plant ALL CODE ::: Ed ch01 code
2022-12-07 (meeting #107) Basic of Shiny + R Markdown + {flexdashboard} for interactive data (Ed) ::: pptx
2022-11-23 (meeting #106) Future topics survey and cheatsheet activity (Ed) ::: pptx ::: cheatsheet 1 ::: cheatsheet 2 ::: cheatsheet 3 ::: cheatsheet 4
2022-11-16 (meeting #105) Earwigs, wooly apple aphids and binomial regression. Oh, my! (Hayden) ::: talk pptx ::: R script ::: Raw data xlsx ::: Count data xlsx
2022-11-02 (meeting #104) Tidy data and stats for a mysterious experiment (Eric S)
2022-10-26 (meeting #103) Intro to the {mlr3} package in R (Ed) ::: pptx ::: R script ::: {mlr3} book site
2022-10-19 (meeting #102) Natural Language Processing (NLP) What is it good for? (Magda)
2022-10-12 (meeting #101) Analysis of spatial data (Joe C)
2022-10-05 (meeting #100) Quarto: R Markdown’s “new clothes”? Our \(10^2\) meeting! (Ed) ::: Quarto Github webpage tutorial
2022-09-28 (meeting #99) Computer vision project / Python (Matt) ::: pptx ::: weevilwatch github repo
2022-09-21 (meeting #98) New Quarto website (Ed) ::: Quarto Hello, World
This group is supported by the research and teaching community at Harper Adams University and by students and alumnists of the MSc in Data Science for Global Agriculture, Food, and Environment, and is led by Ed Harris.