Hi Pat! how did you set up R in VScode? seems to be a process where many(me) get tripped up. thanks!
@Riffomonas
6 ай бұрын
Eh lots of installing and uninstalling add ons. I haven’t put up a video because I’m not really sure what I have. My installation is a bit of a mess
@rayflyers
8 ай бұрын
Hey, Pat. Happy 2024! We missed you in 2023. I hope you're okay. I started teaching an R class last year, and I always recommend your videos to my students. Best wishes!
@alexandreloureiro5197
Жыл бұрын
Hi Pat, I just wanted to let you know how much I enjoy your work and how valuable it’s been to me. I’ve literally been binging your episodes and I can honestly say I’ve become a better R user because of you. Thank you, and keep up the good work!
@Riffomonas
Жыл бұрын
Thank you so much for watching 🤓
@KamalSingh-dn7gv
Жыл бұрын
Hi Pat. You have fantastic episodes about coding. Thank you. However, we the scientists use a lot of IC50/EC50 computations. Would it be possible to do an episode on this topic? Maybe using drc library from R. Thanks again - Kamal
@Riffomonas
Жыл бұрын
Thanks Kamal - I'll keep it in mind for a future episode.
@bassamsaleh8034
Жыл бұрын
He hasn't make videos for the last 5 months, his videos were very good with a lot of useful tips and trick and workflows. I hope he's okay and doing well.
@thomasb1337
10 ай бұрын
e seems to be active on GitHub so I'd think he be ok.
@Riffomonas
6 ай бұрын
The videos are back - thanks for your patience!🤓
@caseyj1144
Жыл бұрын
Hi Pat - just popping in to say you're missed! I hope all is well with you :)
@Pvillanueva13
Жыл бұрын
Thanks for these videos! I was looking for an introduction to Snakemake that starts from scratch and this was the perfect walkthrough. About the conflicts you were running into: something I've seen pretty often is deploying the webpage based off a separate branch. You can set up an action to run whatever workflow to render your webpage documents and then send it to a different branch. Then, you change the your settings to target that particular branch. The advantage of doing it this way is that you prevent the situation you ran in to by keeping the output of the pipeline (the webpage and figure) separate from your code. Then, if you want to make changes to your code, you don't have to worry about pulling down all the revisions resulting from pipeline runs. It's also not an issue here, but it also avoids the situation where you're working on a team and everyone is generating their own outputs and everyone's repo gets out of sync. The action I use is peaceiris/actions-gh-pages. I add a rule to put all of the webpage files into a docs folder, which I target with the action. Maybe a little overkill for this simple website, but this workflow is extensible to more complicated websites (and dovetails nicely with Quarto webpages). You can see my implementation of your project here: github.com/pommevilla/drought_index. Another comment - you use `snakemake -c 1 ...` to run the workflow, and you've mentioned before that you designed the workflow to work with one processor. Snakemake actually determines which rules can be run together based on the DAG. Rules run as soon as their dependencies are completed, so if a rule doesn't have any (for example, leaf nodes in the dag), then they can run right away. In my modified workflow (see DAG on the README on my repo), there are 4 child nodes, so I could technically call `snakemake -c 4 ...` run those four jobs in parallel. Also, when `get_all_archive` runs, it can use one of the clusters to run one of its two dependencies instead of waiting for the single processor to open up. I'm not sure how much runtime gains you'd gain here since the biggest chokepoints are the downloads and reading the dly files, but it's something to keep in mind. Again, thank you so much for these videos! I learned a lot of good stuff here, and I'm looking forward to future videos.
@Riffomonas
Жыл бұрын
Thanks for watching!
@haraldurkarlsson1147
Жыл бұрын
Pat, I am not sure where this would fit but since you are dealing with large datasets in your climate series then you are probably already familiar with the arrow and duckdb packages. The former allows you to work with larger-than-memory datasets in R. One of the main drawbacks of R is that it loads everything into memory and can thus be slow. arrow (which works with a bunch of different languages - Python, Rust, Mathlab and so forth - however, is similar to data.table (in R) but much faster. The key is that arrow uses a data structure (parque files) that works much more efficiently than the normal - row-wise data structures (e.g., csv). Duckdb is a structured database that lives on local drives (no need for cloud storage even for large files) and is quickly gaining ground. Both these programs have R versions (API?) and are excellent for big data. I would love to see you cover these. Thanks, H
Жыл бұрын
GitHub Actions and Snakemake are fantastic tools. Thank you very much for this video series! I've learn so much
@Riffomonas
Жыл бұрын
Glad you like them! I love the combination too 🤓
@haraldurkarlsson1147
Жыл бұрын
Nice videos as usual. Since you are playing around with different programs I was wondering if you had looked at imagemagick? As far as I can see it can do amazing things both inside and outside R. I would love to learn more about it other than the rudimentary stuff I know. I hope you are willing to explore it and do a video on it. Thanks!
@mahatmaalimibrahim6631
Жыл бұрын
What a skill! fantastic really. Professor may you please do a visualization project using the sf package?. Thank you.
@Riffomonas
Жыл бұрын
Thanks! It's definitely on the list of things to explore in future episodes
@mahatmaalimibrahim6631
Жыл бұрын
@@Riffomonas Thank professor.
@mabenba
Жыл бұрын
As always very amazing content! Thank you very much Patt! Can you make a video about making publication quality tables in R?
@Riffomonas
Жыл бұрын
Thanks for the great suggestion! I know there have been a lot of great new packages developed to make attractive tables.
@mabenba
Жыл бұрын
@@Riffomonas your welcome! Let me know if I can help you with something, research of packages or whatever!
@PA_hunter
Жыл бұрын
Would be really cool if you could show approaches in R that implement the most accurate maps we have today (perhaps Winkel Tripel or AuthaGraph).
@IarukaSkYouk
Жыл бұрын
sir, you are so amazing. I am learning alot from your channel thank you for sharing your knowledge to the community!
@oluwafemioyedele
Жыл бұрын
Another great tutorial @pat, thank you for always releasing great tutorial!!!
@Riffomonas
Жыл бұрын
My pleasure! Thanks for watching 🤓
@mabenba
Жыл бұрын
It's been quite a long vacation, Pat. Come back, we miss you.
@AnkitKumar-xh4eh
Жыл бұрын
Hey man! Why are you not creating more video, I really appreciate what you are doing
@musicspinner
Жыл бұрын
What's next for Prof. Schloss and the Code Club?
@niceday2015
Жыл бұрын
Hello my dear Pat, happy new year! Hope to see you soon online! Best wishes
Пікірлер: 31