26.10 Meeting Videos

26.10.1 Cohort 5

Meeting chat log
00:03:23    Becki R. (she/her): I'm having trouble with a buzz again
00:03:37    Njoki Njuki Lucy:   I so look forward to the discussion. I have been struggling with understanding this particular chapter! :)
00:26:58    Jon Harmon (jonthegeek):    > x <- purrr::set_names(month.name, month.abb)
> x
00:27:21    Jon Harmon (jonthegeek):    x[["Jan"]]
00:30:12    Jon Harmon (jonthegeek):    results <- purrr::set_names(vector("list", length(x)), names(x))
00:35:10    lucus w:    A data frame is simply a list in disguise
00:45:37    Njoki Njuki Lucy:   It makes sense now, thanks!
00:48:05    Ryan Metcalf:   Sorry team, I have to drop. Sister-in-law is stranded and needs a jump-start. I’ll finish watching the recording and catch any questions.
00:51:19    Jon Harmon (jonthegeek):    > paste(month.name, collapse = "")
[1] "JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember"
> paste(month.name, collapse = " ")
[1] "January February March April May June July August September October November December"
01:09:10    Njoki Njuki Lucy:   that's so cool! I wondered! Ha!!
01:10:30    Federica Gazzelloni:    thanks Jon!!
Meeting chat log
00:10:17    Becki R. (she/her): brb!
00:26:00    Njoki Njuki Lucy:   does this mean, in this case, we will have 3 regression models?
00:26:21    Federica Gazzelloni:    can you specify: mtcars%>%map(.f=
00:27:12    Federica Gazzelloni:    mtcars%>%split(.$cyl)%>%map(.f=lm(….))
00:27:41    Ryan Metcalf:   I’m reading it as `mpg` being dependent (y) and `wt` being independent.
00:29:08    Jon Harmon (jonthegeek):    # A more realistic example: split a data frame into pieces, fit a
# model to each piece, summarise and extract R^2
mtcars %>%
  split(.$cyl) %>%
  map(~ lm(mpg ~ wt, data = .x)) %>%
  map(summary) %>%
  map_dbl("r.squared")
00:29:55    Jon Harmon (jonthegeek):    mtcars %>%
  split(.$cyl) %>%
  map(.f = ~ lm(mpg ~ wt, data = .x))
00:30:22    Jon Harmon (jonthegeek):    mtcars %>%
  split(.$cyl) %>%
  map(.f = lm(mpg ~ wt, data = .x))
00:45:11    Federica Gazzelloni:    coalesce()
01:17:01    Ryan Metcalf:   Great Job Becki!!!
01:17:25    Becki R. (she/her): Thanks :)

26.10.2 Cohort 6

Meeting chat log
00:04:39    Marielena Soilemezidi:  I'll be back in 3'! No haste with the setup:)
00:04:52    Adeyemi Olusola:    Ok
00:07:22    Adeyemi Olusola:    Let me know when you return
Meeting chat log
00:11:10    Marielena Soilemezidi:  hello! :)
00:20:31    Marielena Soilemezidi:  yep, it looks good!
00:46:18    Daniel Adereti: How does it get the list of 3?
00:47:55    Marielena Soilemezidi:  sorry, got disconnected for some time, but I'm back!
00:48:05    Daniel Adereti: No worries!
00:58:28    Adeyemi Olusola:    olusolaadeyemi.ao@gmail.com

26.10.3 Cohort 7

Meeting chat log
00:06:31    Oluwafemi Oyedele:  Hi Tim!!!
00:06:47    Tim Newby:  Hi Oluwafemi,  can you here me?
00:06:48    Oluwafemi Oyedele:  We will start in 6 minutes time!!!
00:13:26    Oluwafemi Oyedele:  start
00:56:02    Oluwafemi Oyedele:  https://adv-r.hadley.nz/functionals.html
00:56:25    Oluwafemi Oyedele:  stop

26.10.4 Cohort 8