great video as always and very helpful! I'm wondering if I am able to make a suggestion for a future video topic because I'm not quite sure how to go about it and I am curious to know how you would tackle this. With a dataset including date and daily mean, min, and max temperature (not sure if you would need the min and max), how would you go about making probability density curves for, lets say, 10 year intervals. The goal being to show that if the temperature has been rising from 1900 to 2021 at the spot being evaluated, each decadal probability density curve should show a shift in the mean to the right as well as extreme temperatures (cold being the left tail and hot being the right tail). To take it a step further, you can compare the probability density curves of 1900-1910 to the 2010-2020, place them on top of each other and then calculate if the probability of having more hot days (>30 degrees for this example) has changed by comparing the area under the curve for each one and calculating the difference. Finally, you could show the best way to plot each curve or all of them on one plot to show how each decade's mean temperature shifts to the right. I hope that makes sense.
Thanks Pierre! I’m not sure if this is what you’re looking for but you might check out the episode: How to create a ridgeline plot in R with ggridges in RStudio (CC226) ua-cam.com/video/kU4O1LXdz2Y/v-deo.html
@@Riffomonas Thank you for your response! I completely missed that video when going through what you had uploaded. It does answer a big part of my question. Thank you very much once more.
Sounds really inspiring :) Thanks for sharing!
Glad you enjoyed it!
Very, very useful. Thank you.
Glad it was helpful! Thanks for watching
Hello, Prof Schloss. the link to your blog post does not seem to work. Thank you so much for your help as i got through my MPH--at UMich SPH.
My pleasure - Check now - sorry!
great video as always and very helpful!
I'm wondering if I am able to make a suggestion for a future video topic because I'm not quite sure how to go about it and I am curious to know how you would tackle this. With a dataset including date and daily mean, min, and max temperature (not sure if you would need the min and max), how would you go about making probability density curves for, lets say, 10 year intervals. The goal being to show that if the temperature has been rising from 1900 to 2021 at the spot being evaluated, each decadal probability density curve should show a shift in the mean to the right as well as extreme temperatures (cold being the left tail and hot being the right tail). To take it a step further, you can compare the probability density curves of 1900-1910 to the 2010-2020, place them on top of each other and then calculate if the probability of having more hot days (>30 degrees for this example) has changed by comparing the area under the curve for each one and calculating the difference. Finally, you could show the best way to plot each curve or all of them on one plot to show how each decade's mean temperature shifts to the right.
I hope that makes sense.
Thanks Pierre! I’m not sure if this is what you’re looking for but you might check out the episode: How to create a ridgeline plot in R with ggridges in RStudio (CC226)
ua-cam.com/video/kU4O1LXdz2Y/v-deo.html
@@Riffomonas Thank you for your response! I completely missed that video when going through what you had uploaded. It does answer a big part of my question. Thank you very much once more.
Thansk, I love your videos. But how can I extract .rar files in Linux? Or just get the name of files/foldersthat are inside a *.rar file, in linux?
Thanks - you'll have to get the rar/unrar programs. Here's a tutorial I just found linuxhint.com/extract_rar_files_ubuntu/