4.8 Meeting Videos
4.8.1 Cohort 1, Part 1
Meeting chat log
00:34:10 pavitra: https://www.programmingr.com/animation-graphics-r/qq-plot/#:~:text=The%20qqplot%20function%20in%20R.%201%20x%20is,is%20the%20name%20of%20the%20Q%20Q%20plot.
00:34:47 jiwan: maybe the base R plot() function on an lm result? it plots a bunch of things (resid, qq, …)
00:35:55 June Choe: re: qq plots - there's an interesting paper (and an R package {qqvases}) on QQ plots that draws an analogy to filling a vase with water which intuitively clicked for me - https://repository.upenn.edu/cgi/viewcontent.cgi?article=1605&context=statistics_papers
00:36:35 pavitra: ooh..that looks good. Thanks June
00:36:49 pavitra: good catch, Jonathan
00:37:08 Ryan S: # to graph the residuals (from r4ds Ch25)
library(modelr)
library(tidyverse)
library(gapminder)
nz <- filter(gapminder, country == "New Zealand")
nz_mod <- lm(lifeExp ~ year, data = nz)
plot3 <- nz %>%
add_residuals(nz_mod) %>%
ggplot(aes(year, resid)) +
geom_hline(yintercept = 0, colour = "white", size = 3) +
geom_line() +
ggtitle("Resid pattern")
00:38:00 pavitra: nice! Thank you Ryan. That's what I wanted to know
00:40:02 pavitra: apparently bathrooms are not very significant in this model
00:40:04 pavitra: that figures
00:58:45 pavitra: thanks morgan. this was a dense chapter
00:58:54 June Choe: thanks for presenting!
00:58:59 priyanka gagneja: thx Morgan
00:59:10 Stan Piotrowski: Great presentation, Morgan!
00:59:12 jiwan: Thank you Morgan!
00:59:17 shamsuddeen: Thanks Morgan, great presentation
00:59:18 Morgan Grovenburg: Thank you all for your patience with me!
01:03:04 Andy Farina: Thank you Morgan, great presentation
01:04:07 Andy Farina: I am able to present if you would like a break
01:04:39 shamsuddeen: See yall4.8.2 Cohort 1, Part 2
Meeting chat log
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