1. For the Interactive Design
Using R
R
Tsukuba.R #8
@yag_ays

2. • @yag_ays ( )
• M1
•
•
• DBCLS
•

3. Tsukuba.R
• #4
• #5
• #6 diagram
• #7 *blottan*

4. •
• R
• RSRuby

5. ...
•
•
• ( )
•

6. http://twitter.com/iNut/status/24541521327
http://www.slideshare.net/ybenjo/tsukubar7-4027417

7. •
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8. NM_019441 -371 15918 873 43.9056603773585 NM_029791 -45113 -45199 -45117 0.00190269696232218
NM_172755 -15823 -16895 -16815 0.0634507250665877 NM_133766 373 373 357 0.0448179271708683
NM_026742 -314 -1234 -1234 0.745542949756888 NM_009892 -3272 -10724 -3274 0.694889966430436
NM_133939 -657 -478 -495 0.272450532724505 NM_133685 -113 -117 -1952 0.942110655737705
NM_178592 217 173 201 0.254335260115607 NM_053159 2554 1662 2128 0.536702767749699
NM_030559 934 573 573 0.630017452006981 NM_020586 300 239 221 0.357466063348416
NM_027978 -879 -953 -964 0.0881742738589212 NM_026661 -821 -18169 -18153 0.954813143266003
NM_008819 -9574 -9513 -19638 0.515582034830431 NM_024211 -465 -450 -490 0.0816326530612245
NM_001045864 -154 213 199 2.38311688311688 NM_030113 -2119 -12733 -2119 0.833582030943218
NM_026467 2377 662 192 11.3802083333333 NM_030254 56722 56190 56503 0.00946787684641395
NM_001161851 -524 -2513 12607 6.01671309192201 NM_008828 1054 990 571 0.845884413309983
NM_025797 -544 -407 -549 0.258652094717668 NM_001113198 -106878 -130782 -94520 0.27727057240293
NM_053068 -3535 -1384 -3492 0.608486562942009 NM_001013806 1175 15158 1042 13.5470249520154
NM_026119 1300 18771 1293 13.5174013921114 NM_025379 385 1891 -491 4.85132382892057
NM_025813 12563 4047 3138 3.00350541746335 NM_181070 2161 1481 1486 0.459149223497637
NM_007918 1038 138 1086 6.8695652173913 NM_008929 3803 5213 3406 0.530534351145038
NM_207515 2071 2066 2071 0.00242013552758954 NM_001113417 -69003 -70568 -68990 0.022361410
NM_153056 -275 -296 -302 0.0894039735099338 NM_010738 -51178 -50897 -51175 0.005490640509593

10. http://jp.makezine.com/blog/2010/07/massive_printable_tree_of_life_grap.html

13. •
•
•
• R
• TIBCO Spotfire
• Excel

14. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

15. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

16. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

17. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

18. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

19. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26
9 10 34
10 11 17

20. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 ... apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26 speed dist
9 10 34 15.40 42.98
10 11 17

21. R
speed dist data(cars)
1 4 2 head(cars)
2 4 10 cars[1,2]
3 7 4 cars$speed
4 7 22 cars[cars$speed<5,]
5 8 16 apply(cars,2,mean)
6 9 10 table(cars$speed)
7 10 18
8 10 26 4 7 8 9 10 11 12 13
9 10 34 2 2 1 1 3 2 4 4
10 11 17

22. R
http://bm2.genes.nig.ac.jp/RGM2/index.php

23. TIBCO Spotfire
• TIBCO Spotfire
•
• R S-PLUS
“ TIBCO Spotfire Analytics
Spotfire
”
http://spotfire.tibco.jp/products/overview/analytics-products.aspx

24. TIBCO Spotfire

25. TIBCO Spotfire
•
• “Details on Demand”
•

26. Excel
•

27. R ...
• R
• R
R
•

28. Rails
• RSRuby + Ruby on Rails R
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•
•

29. Ruby on Rails
• Ruby web
• MySQL Sqlite3 DB
rails hoge
cd hoge
ruby script/generate scaffold
hoge id:integer val:integer
rake db:migrate

30. RSRuby
• “RSRuby is a bridge between Ruby and the R
interpreted language.” http://rubyforge.org/projects/rsruby/
• Ruby R
• Tsukuba.R #7 @jj0c_0jjj
• 2009 Feb.
http://open-bio.jp/archive/20070302_OB6/OB6-RSRuby-Gutteridge.pdf

31. • Project : misanote
• Ruby on Rails http://g86.dbcls.jp/misanotes/
• RSRuby

32. RSRuby on Rails
• Rails RSRuby
• Rails RSRuby
• Rails

33. RSRuby
sudo gem install -- --with-R-dir=/usr/lib/R
•
• Mac OSX --with-R-dir=/opt/local/
lib/R

34. RSRuby
yag_ays@g86:~% irb
> require 'rubygems'
=> true
> require 'rsruby'
=> true
> r = RSRuby.instance
=> #<RSRuby:0x1011e0bc0 ...
> r.rnorm(10)
=> [1.10492948446846, ...

35. Rails
• config/environment.rb
Rails::Initializer.run do |config|
config.gem 'rsruby'
end
• RSRuby Ruby 1.9 Rails 3.0

36. •
•
• Rails

37. a = []
open("path/data.txt","r"){|f|
f.each{|l|
a.push(l.chomp.split("t")[1].to_i)
}
}
• Ruby
• RSRuby [1,2,3]
• RSRuby read_csv ...

38. RSRuby
@misanote.each do |misanote|
@@r = RSRuby.instance
@@r.png("path/#{misanote.id}.png")
@@r.hist(a,:xlab => "x",:ylab => "y",
:xlim => [-10000, 10000],
:nclass => 10000,
:main => "#{misanote.id}")
@@r.abline(:v => misanote.diff,
:lty => 1,:lwd => 5,:col => 2)
@@r.eval_R("dev.off()")
end

39. Rails
@@r = RSRuby.instance
@@r.png("path/#{misanote.id}.png")
@@r.hist(a, :xlab => "x", :ylab => "y",
:xlim => [-10000, 10000],
:nclass => 10000,
:main => "#{misanote.id}")
@@r.abline(:v => misanote.diff,
:lty => 1, :lwd => 5, :col => 2)
@@r.eval_R("dev.off()")

40. a = []
open("path/data.txt","r"){|f|f.each{|l|
a.push(l.split("t")[1].to_i)}}
@misanote.each do |misanote|
@@r = RSRuby.instance
@@r.png("path/#{misanote.id}.png")
@@r.hist(a,
:xlab => "x label", :ylab => "y label",
RSRuby
:xlim => [-10000, 10000], :nclass => 10000,
:main => "#{misanote.id}")
@@r.abline(:v => misanote.diff, :lty =>
1, :lwd => 5, :col => 2)
@@r.eval_R("dev.off()")
end

41. ID : NM_027468
ID : NM_153774

42. •
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• ID
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43. •
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• ggplot2
• zip

44. • Ajax jQuery
• R
•

45. •
• Rails
• RSRuby ...
•