Link
Embed
Share
Beginning
This slide
Copy link URL
Copy link URL
Copy iframe embed code
Copy iframe embed code
Copy javascript embed code
Copy javascript embed code
Share
Tweet
Share
Tweet
Slide 1
Slide 1 text
Boxes and whiskers — generated by Stable Diffusion XL v1.0 2024 12 R ( ) (2) — (WBS) 2024 12 R ( ) (2) — — 2024-11 – p.1/14
Slide 2
Slide 2 text
https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 12 R ( ) (2) — — 2024-11 – p.2/14
Slide 3
Slide 3 text
( 20 ) 1 • 2 R • 3 • 4 • 5 • 6 ( ) • 7 (1) • 8 (2) • 9 R ( ) (1) — Welch • 10 R ( ) (2) — χ2 • 11 R ( ) (1) — • 12 R ( ) (2) — • 13 GPT-4 14 GPT-4 15 ( ) LaTeX Overleaf 8 (12/16 ) / (2 ) OK / 2024 12 R ( ) (2) — — 2024-11 – p.3/14
Slide 4
Slide 4 text
N(µ, σ2) ρ 2 ( : ˆ y = a + b1 x1 + b2 x2 + e ) 2024 12 R ( ) (2) — — 2024-11 – p.4/14
Slide 5
Slide 5 text
N(µ, σ2) “rnorm()” set.seed(173205) # # N(50, 10^2) 100 x <- rnorm(n=100, mean=50, sd=10) # x # hist(x) mean(x) sd(x) 2024 12 R ( ) (2) — — 2024-11 – p.5/14
Slide 6
Slide 6 text
Histogram of x x Frequency 10 20 30 40 50 60 70 80 0 5 10 15 20 25 30 35 mean(x) : 50.06994 sd(x) : 10.30096 2024 12 R ( ) (2) — — 2024-11 – p.6/14
Slide 7
Slide 7 text
ρ 2 (1/2) MASS “mvrnorm()” “ .R” # r = 0.9 # t = 3.7 # r = 15.2 # t = 7.5 # = -0.5 # <- matrix(c( r^2, * t * r, * r * t, t^2 ), nrow=2) 2024 12 R ( ) (2) — — 2024-11 – p.7/14
Slide 8
Slide 8 text
“mvrnorm()” = S xx S xy S xy S yy = S xx rS x S y rS x S y S yy ( r = S xy S x S y ) 2 x, y x, y, z, . . . 2024 12 R ( ) (2) — — 2024-11 – p.8/14
Slide 9
Slide 9 text
ρ 2 (2/2) MASS “mvrnorm()” “ .R” # set.seed(28284) <- mvrnorm(n=100, mu=c( r, t), Sigma= ) <- pmin(pmax( [,1], 13.0), 19.9) <- pmin(pmax( [,2], 0.0), 20.0) “ [,1]” “ [,2]” plot 2024 12 R ( ) (2) — — 2024-11 – p.9/14
Slide 10
Slide 10 text
0 5 10 15 20 13 14 15 16 17 18 ㈇ࡢ┦㛵ࡢ 㐌ᙜࡓࡾࡢㄢእ㐠ື㛫 100m㉮ࡢࢱ࣒ (⛊) r : -0.5932345 ( ) -0.5884094 ( ) 2024 12 R ( ) (2) — — 2024-11 – p.10/14
Slide 11
Slide 11 text
(1/2) “ .R” n <- 50 # a <- 49.4 # ( (158cm ) ) # r_father <- 0.306 mean_father <- 168.78 sd_father <- 3.2 # r_mother <- 0.37 mean_mother <- 155.32 sd_mother <- 2.45 2024 12 R ( ) (2) — — 2024-11 – p.11/14
Slide 12
Slide 12 text
(2/2) “ .R” <- round(rnorm(n=n, mean=mean_father, sd=sd_father), digits=1) <- round(rnorm(n=n, mean=mean_mother, sd=sd_mother), digits=1) e <- rnorm(n=n, mean=0, sd=2.8) # <- round(a + r_father * + r_mother * + e, digits=1) 1 “round()” plot 2024 12 R ( ) (2) — — 2024-11 – p.12/14
Slide 13
Slide 13 text
ፉ㌟㛗 160 165 170 175 152 156 160 164 160 165 170 175 ∗㌟㛗 152 156 160 164 150 154 158 150 154 158 ẕ㌟㛗 : 34.2484 : 0.3545 : 0.4137 : 0.2831 2024 12 R ( ) (2) — — 2024-11 – p.13/14
Slide 14
Slide 14 text
2024 12 R ( ) (2) — — 2024-11 – p.14/14