kilometer
October 08, 2018
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# Concept of BeginneR Session

Tukuba.R #1 にてお話しした内容です。

October 08, 2018

## Transcript

1. ### Tsukuba.R #1 Kickoff meeting Concept of "BeginneR Session" @kilometer00 2018.10.07

at Tsukuba – Cases Report –

3. ### 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

5. ### 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)

8. None

11. ### BeginneR Advanced Hoxo_m If I have seen further it is

by standing on the sholders of Giants. -- Sir Isaac Newton, 1676
12. ### BeginneR Advanced * Landscape form the sholders of Giants *

Philosophy of the climbing wall structure * Climbing techniques

14. ### * Landscape form the sholders of Giants Advanced Session Application

case, Developed own pkgs
15. ### Beginner Session Basic knowledge, Global usage, Tutorial * Concept of

the wall structure * Climbing techniques 3 1

How How
19. ### ... 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?

21. ### 67th Tokyo.R at Otto Japan Inc. @kilometer Beginner’s Session 2

-- data manipulation --
22. ### 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?
23. ### George Boole 1815 - 1864 A Class-Room Introduction to Logic

https://niyamaklogic.wordpress.com/c ategory/laws-of-thoughts/ Mathematician Philosopher &
24. ### 1JQFBMHFCSB 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
25. ### {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 1JQFBMHFCSB %>%
26. ### {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 1JQFBMHFCSB %>%
27. ### {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 1JQFBMHFCSB %>%
28. ### 69th Tokyo.R @kilometer BeginneR Session 1 -- Data Import /

Export -- 2018.04.21 at Roppongi

2 3
30. ### 70th Tokyo.R @kilometer BeginneR Session 1 -- Bayesian Modeling --

2018.06.09 at Microsoft Co.

33. ### 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

36. ### Beginner Session Basic knowledge, Global usage, Tutorial * Concept of

the wall structure * Climbing techniques 3 1
37. ### BeginneR Advanced Hoxo_m If I have seen further it is

by standing on the sholders of Giants. -- Sir Isaac Newton, 1676