Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
R を用いた分析(補講) (2) — 人工データの生成 / Analysis using R ...
Search
Kenji Saito
PRO
November 30, 2024
Technology
0
58
R を用いた分析(補講) (2) — 人工データの生成 / Analysis using R (supplementary) (2) - Generating artificial data
早稲田大学大学院経営管理研究科「企業データ分析」2024 冬のオンデマンド教材 第12回で使用したスライドです。
Kenji Saito
PRO
November 30, 2024
Tweet
Share
More Decks by Kenji Saito
See All by Kenji Saito
FinTech 3-4 : Internet Technology and Governance
ks91
PRO
0
19
民主主義と博愛(Humanitarianism) / Democracy and Humanitarianism
ks91
PRO
0
1
ブロックチェーン概論 / Introduction to Blockchain
ks91
PRO
0
6
ブロックチェーンと分散ファイナンス概論 / Introduction to Blockchain and Decentralized Finance
ks91
PRO
0
47
Proof of Authenticity of General IoT Information with Tamper-Evident Sensors and Blockchain
ks91
PRO
0
5
FinTech 1-2 : Overview of FinTech
ks91
PRO
0
14
デジタルトランスフォーメーションと民主主義 / Digital Transformation and Democracy
ks91
PRO
0
19
We Never Took the Kobayashi Maru Test Until Now. What Do You Think of Our Solutions? — Journeys of the Mind Through a No-Win Game
ks91
PRO
0
24
思いつきが武器になる:研究というゲームを始めよう / Ideas Are Your Equipments : Let the Game of Research Begin!
ks91
PRO
0
79
Other Decks in Technology
See All in Technology
Exadata Database Service on Dedicated Infrastructure(ExaDB-D) UI スクリーン・キャプチャ集
oracle4engineer
PRO
2
5.4k
「AI駆動PO」を考えてみる - 作る速さから価値のスループットへ:検査・適応で未来を開発 / AI-driven product owner. scrummat2025
yosuke_nagai
4
600
後進育成のしくじり〜任せるスキルとリーダーシップの両立〜
matsu0228
7
2.5k
AWSにおけるTrend Vision Oneの効果について
shimak
0
130
SREとソフトウェア開発者の合同チームはどのようにS3のコストを削減したか?
muziyoshiz
1
100
多様な事業ドメインのクリエイターへ 価値を届けるための営みについて
massyuu
1
330
Pure Goで体験するWasmの未来
askua
1
180
Flaky Testへの現実解をGoのプロポーザルから考える | Go Conference 2025
upamune
1
430
AI時代だからこそ考える、僕らが本当につくりたいスクラムチーム / A Scrum Team we really want to create in this AI era
takaking22
6
3.5k
定期的な価値提供だけじゃない、スクラムが導くチームの共創化 / 20251004 Naoki Takahashi
shift_evolve
PRO
3
320
Azure Well-Architected Framework入門
tomokusaba
1
310
M5製品で作るポン置きセルラー対応カメラ
sayacom
0
160
Featured
See All Featured
The Cult of Friendly URLs
andyhume
79
6.6k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
114
20k
Become a Pro
speakerdeck
PRO
29
5.5k
It's Worth the Effort
3n
187
28k
Making the Leap to Tech Lead
cromwellryan
135
9.5k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Testing 201, or: Great Expectations
jmmastey
45
7.7k
Designing Experiences People Love
moore
142
24k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
657
61k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
Bash Introduction
62gerente
615
210k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Transcript
Boxes and whiskers — generated by Stable Diffusion XL v1.0
2024 12 R ( ) (2) — (WBS) 2024 12 R ( ) (2) — — 2024-11 – p.1/14
https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 12 R ( ) (2) — — 2024-11
– p.2/14
( 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
N(µ, σ2) ρ 2 ( : ˆ y = a
+ b1 x1 + b2 x2 + e ) 2024 12 R ( ) (2) — — 2024-11 – p.4/14
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
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
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
“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
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
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
(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
(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
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
2024 12 R ( ) (2) — — 2024-11 –
p.14/14