I don't know if it is just me but I found this presentation quite confusing. There was so much "time" spent on for loops and coding distractions rather than getting to the point and measuring the performance speed on simple data sets. I also got the feeling that we were not actually comparing the same thing in these speed test. Sort of like testing accelerations of different cars but not under the same conditions (like having different inclines to drive up). As you can see from my earlier comment I got distracted right away with the as.factor command that was only explained midway through the lesson. Nevertheless - thanks.
I get an error when I run your code (really just the tutorial file step by step) Says: Error in nrow(df) : argument "df" is missing, with no default Any idea why this is the case??? Would be really grateful for any advice on this... Thanks!
In my testing allocating named vectors is faster than named lists so if you made viewer_coupling an integer vector in the first stage of the algo, then convert to a list for the strsplit I think it'd be faster than using a list.
man this was awesome, thank you very much that's exactly what I needed to watch! You deserve a lot more views
Thank you for your feedback! Happy to hear about what the community likes! :)
You are awesome... don't let to making videos. This is a valuable knowledge
I don't know if it is just me but I found this presentation quite confusing. There was so much "time" spent on for loops and coding distractions rather than getting to the point and measuring the performance speed on simple data sets. I also got the feeling that we were not actually comparing the same thing in these speed test. Sort of like testing accelerations of different cars but not under the same conditions (like having different inclines to drive up). As you can see from my earlier comment I got distracted right away with the as.factor command that was only explained midway through the lesson. Nevertheless - thanks.
Great work 👍🏻👍🏻
Thank you! :)
I get an error when I run your code (really just the tutorial file step by step)
Says: Error in nrow(df) : argument "df" is missing, with no default
Any idea why this is the case??? Would be really grateful for any advice on this... Thanks!
Thanks this is really useful. Can I create a vectorised function using only R, or would I have to do that in C or similar?
In my testing allocating named vectors is faster than named lists so if you made viewer_coupling an integer vector in the first stage of the algo, then convert to a list for the strsplit I think it'd be faster than using a list.
Why is as.factor needed in generating the dataset?
Using = instead of
Hahaha, I will make a video explaining the difference one day. Thanks :)