All around great video, and your teaching is clear and concise which makes it easy to understand. I got into R about 2 months ago and I have been practicing filtering and plotting climate data nonstop and these video are incredibly helpful. I do have a question and I apologize if it is an obvious answer but can you explain to me the use of "~" and "." together? I know "~" is used when comparing two variables to create a linear regression for example (I think), but in your video when you have "slide_dbl(prcp, ~sum(.x), .before = 29, .complete = TRUE)" and I am not quite sure I understand exactly what those operators do. I haven't come across the need to use them very often which but they seem very helpful. Thank you very much for a another helpful video
Hey Pierre - thanks for watching! The ~ is formula notation like you said in regression but it’s often needed with map like functions like slide_dbl when you are passing variables to the function. I probably don’t need it in this case if I also left out the (.x) part. The .x is the name of the first argument to slide_dbl. If you see ~ . In a regression that would probably mean explain whatever is on the left by everything in the data frame. The . Can mean a few different things
@@Riffomonas Hi again. I really appreciate your quick response. I managed to wrap my head around how to use the ~ and .x in those types of functions thanks to what you said. Looking forward to the next video!
Hello, thanks for yours so helpy videos! I actualy works in the same way but i want to show the évolution of time between 2 rain in order to see if this time is more longer year after year. Have you a simple way to di this? Thanks a lot
I like this question! I think I’d start by removing all the zero precipitation days and then create a lagged column of dates and then calculate the difference in days. Then you could extract they year/month from the dates and aggregate and summarize the data from there
