Amazing to see Hadley's approach and thinking. We need more videos like this. It also shows even Hadley makes silly mistake so remember its ok to get frustated.
Very nice overview, with something to learn for everyone (the purrr stuff is over my head)! I used to make tons of typos for the pipe operator (%>%) before I discovered RStudio's shortcut (Ctrl+Shift+M / Cmd+Shift+M).
We *really* need more videos like this. In fact, we need a series of top R contributors doing exactly this -- showing us how they work. I worry that people don't do this more because they'll be embarrassed if they make mistakes, but that's the part that average users love -- shows then that even R masters get hung up on little stuff like the rest of us.
You should definitely continue making these videos! Thanks for sharing. Really exciting stuff. TIL how to remove season and level using linear model to leave only trend
Really neat - more, more!. Just a comment on the log transformation - log10 is good for large absolute numbers, but (natural) log is better for differences, e.g. residuals. Multiplied by 100 they become percentages - see doi.org/10.1136/bmj.j3683 .
I appreciate your excellent content +Hadley Wickham. Keep it coming. This is a great channel for #rstats users. The presentation format with +Rstudio, video, and audio optimized for learning will make this a popular channel on +CZcams. CheeRs.
Thanks for posting this, it was extremely useful! I learned a lot of new tricks, my new favorite being the str_extract() function, and I'll definitely look into the modelR library. Looking forward to the next one!
A must for my students! Excellent illustration how ro use dplyr in combination with ggplot. Speed is perfect since instructions get typed as we go. Also use Rmarkdown don’t bother with scripts. Please, more of this.
Sir, thanks for making great R packages (tidyverse) and making data science a fun game. R for data science book is very helpful in analyzing and visualizing data. Please add more videos on data science.
Very nice video! I am getting used to the tidyverse and it's great. Did not know about add_predictions() and add_residuals() but I definitely need to try this out. Please continue making videos like this =)
Hi Hadley, thank you for the amazing video. Love it. In the video, you mentioned there is a course which you will go through all the functions. Could i know how can I find that course? Would love to join that course. Thank you!
@Hadley, for the sake of humanity, please keep making videos! (BTW: this may help your TODO: check out OBS and Nohboard czcams.com/video/eWikzJnknUA/video.html)
Amazing to see Hadley's approach and thinking. We need more videos like this. It also shows even Hadley makes silly mistake so remember its ok to get frustated.
Very nice overview, with something to learn for everyone (the purrr stuff is over my head)! I used to make tons of typos for the pipe operator (%>%) before I discovered RStudio's shortcut (Ctrl+Shift+M / Cmd+Shift+M).
We *really* need more videos like this. In fact, we need a series of top R contributors doing exactly this -- showing us how they work. I worry that people don't do this more because they'll be embarrassed if they make mistakes, but that's the part that average users love -- shows then that even R masters get hung up on little stuff like the rest of us.
That was a great tutorial ...Wish we could see more such videos from the Creator Hadley other than the regular Rconference videos ....
You should definitely continue making these videos! Thanks for sharing. Really exciting stuff. TIL how to remove season and level using linear model to leave only trend
Really neat - more, more!. Just a comment on the log transformation - log10 is good for large absolute numbers, but (natural) log is better for differences, e.g. residuals. Multiplied by 100 they become percentages - see doi.org/10.1136/bmj.j3683 .
Great video, I learnt so much by just following your iterative problem solving and general thought process. Can't wait for the next video!
It is a great video! Easy to follow too. I liked that it is unedited, so even the (ubiquitous) mistakes are shown! Thanks
I wanna thank you for walking us through you process. Please do more.
I appreciate your excellent content +Hadley Wickham. Keep it coming. This is a great channel for #rstats users. The presentation format with +Rstudio, video, and audio optimized for learning will make this a popular channel on +CZcams. CheeRs.
Thank you very much for this video. This has given us an opportunity to learn from a master like you.
Thank you 🙏 for all your work! You're the reason I'm using R and not python
Pretty and concise coding, easy to use and read... Thanks for sharing.
This is one of the better R videos I have seen ... Hadley, make more of them!
Thanks for posting this, it was extremely useful! I learned a lot of new tricks, my new favorite being the str_extract() function, and I'll definitely look into the modelR library. Looking forward to the next one!
A must for my students! Excellent illustration how ro use dplyr in combination with ggplot. Speed is perfect since instructions get typed as we go. Also use Rmarkdown don’t bother with scripts. Please, more of this.
Sir, thanks for making great R packages (tidyverse) and making data science a fun game. R for data science book is very helpful in analyzing and visualizing data. Please add more videos on data science.
Thanks for sharing! I look forward to more videos throughout the year. :)
Very nice video! I am getting used to the tidyverse and it's great. Did not know about add_predictions() and add_residuals() but I definitely need to try this out. Please continue making videos like this =)
Thank you Hadley
Absolutely wonderful viedeo!
Awesome video! I beg for more!
Great video, many thanks!
The laundry is done.
Awesome video! How this one got 1 dislike is beyond me
awesome, hadley!
Thank you so much!
more like this please!
nice. thanks for sharing!
Excellent video. Many thanks for it, for RStudio which gets better and better, and for the tidyverse. How was the video produced please?
awesome!
How do you get that tidy tabular output from library() in the console and editing pane?!!!
YES! I can't figure this out either!
Hi Hadley, thank you for the amazing video. Love it. In the video, you mentioned there is a course which you will go through all the functions. Could i know how can I find that course? Would love to join that course. Thank you!
Wonderful stuff. I see that my workflow would benefit greatly from me getting acquainted with add_predictions() and add_residuals().
What class is this from? How can I take this class?
datalab.stanford.edu
how does his rstudio have jupyter notebook style kernels in the r script ? the graphics look so slick compaired to my straight-out-of-anaconda version
It's not an R script, it's an Rmarkdown script. Both can launch from Rstudio.
@Hadley, for the sake of humanity, please keep making videos! (BTW: this may help your TODO: check out OBS and Nohboard czcams.com/video/eWikzJnknUA/video.html)
So hadley's preferred screen ratio is 4:3?
And all this without saving the Untitled1.Rmd - which I keep telling my students never to do 🙃
Great video. I really hope you could speak a little slower so that I can understand you better.
Use youtube's Speed functionality under Settings button to reduce play speed
Dmytro Perepolkin Oh I forgot they have the Speed function. Thanks.
Alternatively you can turn on the close caption and read.
Thanks. But that'll be too slow
Hi Sir how's u I am R programmer from india