Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Concept of BeginneR Session
Search
kilometer
October 08, 2018
0
580
Concept of BeginneR Session
Tukuba.R #1 にてお話しした内容です。
kilometer
October 08, 2018
Tweet
Share
More Decks by kilometer
See All by kilometer
TokyoR#111_ANOVA
kilometer
2
940
TokyoR109.pdf
kilometer
1
510
TokyoR#108_NestedDataHandling
kilometer
0
890
TokyoR#107_R_GeoData
kilometer
0
480
SappoRo.R_roundrobin
kilometer
0
170
TokyoR#104_DataProcessing
kilometer
1
740
TokyoR#103_DataProcessing
kilometer
0
960
TokyoR#102_RMarkdown
kilometer
1
700
TokyoR#101_RegressionAnalysis
kilometer
0
530
Featured
See All Featured
Six Lessons from altMBA
skipperchong
29
4.1k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
122
21k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
9
1k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
What's in a price? How to price your products and services
michaelherold
246
13k
Raft: Consensus for Rubyists
vanstee
141
7.2k
Agile that works and the tools we love
rasmusluckow
331
21k
Site-Speed That Sticks
csswizardry
13
1k
4 Signs Your Business is Dying
shpigford
186
22k
Writing Fast Ruby
sferik
630
62k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.3k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.5k
Transcript
Tsukuba.R #1 Kickoff meeting Concept of "BeginneR Session" @kilometer00 2018.10.07
at Tsukuba – Cases Report –
Who!?
Who!? 名前: 三村 @kilometer00 職業: ポスドク (こうがくはくし) 専⾨: ⾏動神経科学 脳イメージング
医療システム⼯学 R歴: ~ 10年ぐらい 流⾏: イタ飯
BeginneR Session in
Configuration of 1. Beginner Session 2. Advanced Session 3. LT
Session Basic knowledge, Global usage, Tutorial Application case, Developed own pkgs 5min short talk (lightning talk)
Evolution of Tokyo.R Jan 27, 2010
Evolution of Tokyo.R Jan 27, 2010 Beginners Session
None
BeginneR
Before After BeginneR Session BeginneR BeginneR
BeginneR Advanced Hoxo_m If I have seen further it is
by standing on the sholders of Giants. -- Sir Isaac Newton, 1676
BeginneR Advanced * Landscape form the sholders of Giants *
Philosophy of the climbing wall structure * Climbing techniques
* Landscape form the sholders of Giants
* Landscape form the sholders of Giants Advanced Session Application
case, Developed own pkgs
Beginner Session Basic knowledge, Global usage, Tutorial * Concept of
the wall structure * Climbing techniques 3 1
... * Climbing techniques
... Perm Crimp Jug * Climbing techniques Diagonal move
... Perm Crimp Jug * Techniques Diagonal move How How
How How
... Perm Crimp Jug * Techniques Diagonal move Why? Why?
Why? Why? Why? Why? Why? Why? Why? How How How How * Concept Why? Why? Why? Why? Why? Why? Why?
BeginneR Session in
67th Tokyo.R at Otto Japan Inc. @kilometer Beginner’s Session 2
-- data manipulation --
ブール演算⼦ Boolean Algebra A == B A != B A
| B A & B A %in% B # equal to # not equal to # or # and # is A in B?
George Boole 1815 - 1864 A Class-Room Introduction to Logic
https://niyamaklogic.wordpress.com/c ategory/laws-of-thoughts/ Mathematician Philosopher &
1JQFBMHFCSB X %>% f X %>% f(y) X %>% f
%>% g X %>% f(y, .) f(X) f(X, y) g(f(X)) f(y, X) %>% {magrittr} 「dplyr再⼊⾨(基本編)」yutanihilation https://speakerdeck.com/yutannihilation/dplyrzai-ru-men-ji-ben-bian
{magrittr} # こう書きますか? 536&*/ dat1 <- f1(dat0, var1-1, var1-2) dat2
<- f2(dat1, var2) dat3 <- f3(dat2, var3) dat4 <- f4(var4-1, dat3, var4-2) dat5 <- f5(dat4, var5) dat6 <- f6(dat5, var6) 536&065 5IJOLJOH 3FBEJOH 1JQFBMHFCSB %>%
{magrittr} # こうやって書く事もできます。 dat <- dat0 %>% f1(var1-1, var1-2) %>%
f2(var2) %>% f3(var3) %>% f4(var4-1, ., var4-2) %>% f5(var5) %>% f6(var6) */ 065 1JQFBMHFCSB %>%
{magrittr} dat <- iris %>% .[, 1:3] %>% prcomp iris
%>% .[, 1:3] %>% prcomp -> dat “Passive” writing “Active” writing BはAがFされたもの AをFするとBになる 1JQFBMHFCSB %>%
69th Tokyo.R @kilometer BeginneR Session 1 -- Data Import /
Export -- 2018.04.21 at Roppongi
Input Output Do NOT start from here Whatever … 1
2 3
70th Tokyo.R @kilometer BeginneR Session 1 -- Bayesian Modeling --
2018.06.09 at Microsoft Co.
What is modeling?
What is modeling? ℎ f X ℎℎ Truth Knowledge Narrow
sense Broad sense
likelihood prior posterior ≅ ) ∗ () likelihood | <(=|>)∗<(>|?)
| <(@|?) <(=|>) prior distribution posterior distribution predictive distribution data () (|) Truth Information Criterion in Bayesian modeling ebidence CD (| = −H(=) + CD (| = − H(?) Free energy Generalization error ≈ ≈ = − log ≔ self-information
Language Thought Natural Programing
Think Write Programing Read
Beginner Session Basic knowledge, Global usage, Tutorial * Concept of
the wall structure * Climbing techniques 3 1
BeginneR Advanced Hoxo_m If I have seen further it is
by standing on the sholders of Giants. -- Sir Isaac Newton, 1676
“Life shrinks or expands to one’s courage.” -- Anaïs Nin,
2000 http://theamericanreader.com
Enjoy!! KMT©