I wanted to say how much I appreciate your videos. I finally can understand some of the functions because you have great detail on how to use them with actual examples. I also work on a mac and have urban ecology data. You are so savvy and I would like to code like you one day. You think of solutions right on the spot. I don't have this type of help while I am working on my PhD so thanks for making me a better coder.
Remember that you only see me coding for ~20 minutes. After I've already put a couple of hours into each video and done some editing. Also, don't compare your chapter 1 to my chapter 20 - keep practicing!
I've been using plyr and DoMC for parallel processing in RStudio. In the past, I experienced RAM issues while using nest, mutate, and map functions. Since the plyr package got retired, I've been wondering whether I should try purr and furrr again. However, so far, the plyr workflow has been working perfectly fine for me. I believe the main advantage of the furrr approach lies in its flexibility for parallel processing on the fly.
Thanks for watching! You should be able to run it like the non-parallel map functions. I usually use it within a mutate statement in a pipeline and feed it a column from the data frame
I wanted to say how much I appreciate your videos. I finally can understand some of the functions because you have great detail on how to use them with actual examples. I also work on a mac and have urban ecology data. You are so savvy and I would like to code like you one day. You think of solutions right on the spot. I don't have this type of help while I am working on my PhD so thanks for making me a better coder.
Remember that you only see me coding for ~20 minutes. After I've already put a couple of hours into each video and done some editing. Also, don't compare your chapter 1 to my chapter 20 - keep practicing!
I've been using plyr and DoMC for parallel processing in RStudio. In the past, I experienced RAM issues while using nest, mutate, and map functions. Since the plyr package got retired, I've been wondering whether I should try purr and furrr again. However, so far, the plyr workflow has been working perfectly fine for me. I believe the main advantage of the furrr approach lies in its flexibility for parallel processing on the fly.
A very nice explanation, thank you!
Thanks Olga! 🤓
How can I register an external class-object for furrr::future_map_dfr(), which is used inside the triggred routine?
Thanks for watching! You should be able to run it like the non-parallel map functions. I usually use it within a mutate statement in a pipeline and feed it a column from the data frame
Thanks, nice material!
Hi Roney- glad you enjoyed it - thanks for watching!
Wish I had 16 cores in my local machine!