() (MeCab) *1 Juman ChaSen *2 MeCab ChaSen 1.3 MeCab MeCab OS Windows MeCab [] [Binary package for MS-Windows] [] sourceforge.net [mecab-win32] Mac OS
|
|
|
- ゆきさ ちとく
- 9 years ago
- Views:
Transcription
1 RMeCab MeCab RMeCab MeCab RMeCab RMeCab RMeCab MeCab N-gram MeCab RMeCab 1.1 MeCab R MeCab RMeCab 1.2 [email protected] 1
2 () (MeCab) *1 Juman ChaSen *2 MeCab ChaSen 1.3 MeCab MeCab OS Windows MeCab [] [Binary package for MS-Windows] [] sourceforge.net [mecab-win32] Mac OS X Linux [mecab] Mac OS X Linux [mecab-ipadic] Windows Windows MeCab 0.97 mecab-0.97.exe [OK] Shift Jis MeCab C Program Files Mac OS X Unix Downloads Terminal Mac OS X DVD *1 *2 2
![net [mecab-win32] Mac OS X Linux [mecab] Mac OS X Linux [mecab-ipadic] Windows Windows MeCab 0.](/docs-images/41/20165549/images/page_2.jpg "97 mecab-0.97.exe [OK] Shift Jis MeCab C Program Files Mac OS X Unix Downloads Terminal Mac OS X DVD")
3 1 1 MeCab # # ** $ cd Downloads $ tar zxvf mecab-0.**.tar.gz $ cd mecab-0.** $./configure --with-charset=utf-8 $ make $ sudo make install # $ tar zxf mecab-ipadic ****.tar.gz $ cd mecab-ipadic **** $./configure --with-charset=utf-8 $ make $ sudo make install Windows MeCab [Enter] C work test.txt res.txt 3
4 C: Program Files MeCab bin > mecab c: work test.txt > c: work res.txt test.txt res.txt 1 1 EOS,*,*,*,*,*,,,,,*,*,*,*,,,,,,*,*,*,,,,,*,*,*,*,,,,,,*,*,*,,,,,*,*,,,,,,*,*,*,,,,,,,*,*,*,*,,, 1 1 MeCab (), 1, 2, 3,,,,, EOS (end of sentence) (token) (type) MeCab 1 2 EOS,,*,*,*,*,,,,,*,*,*,*,,,,,*,*,*,*,,,,*,*,*,,,,,,*,*,*,,,,,,,*,*,*,*,,,,,*,*,*,*,,,,,*,*,*,*,,,,,*,*,*,*,,,,,*,*,,,,,,,*,*,*,*,,,
5 8 MeCab CSV () () MeCab R MeCab R R MeCab RMeCab 1.4 RMeCab RMeCab R MeCab R RMeCab RMeCab R MeCab R MeCab 2 RMeCab *1 OS RMeCab RMeCab 0.50 RMeCab 0.50.zip RMeCab 0.50.tgz, RMeCab 0.50.tar.gz.zip Windows Mac OS X.tgz Unix.tar.gz Windows RMeCabInstall.txt Windows R RMeCab *2 [1] Windows R *3 R R [] - [ zip ] RMeCab ***.zip ( 1 2)*** RMeCabInstall.txt RMeCabInstall.bat *1 *2 *3 RMeCabInstall.txt R MeCab RMeCabInstall.bat MeCab bin libmecab.dll R library RMeCab libs libmecab.dll 5
![txt Windows R RMeCab *2 [1] Windows R *3 R R [] - [ zip ] RMeCab ***.zip ( 1 2)*** RMeCabInstall.txt RMeCabInstall.](/docs-images/41/20165549/images/page_5.jpg "bat *1 http://groups.google.co.jp/group/rmecab/ *2 *3 RMeCabInstall.txt R MeCab RMeCabInstall.bat MeCab bin libmecab.")
![RMeCabInstall.bat ( 1 3) 1 1 2 RMeCab 1 3 Mac OS X R [] - [] [CRAN] [] [install] RMeCab ***.](/docs-images/39/20165549/images/6-0.png "tgz *** Linux R R R getwd() ** > install.packages(\"rmecab_0.**.tar.gz\", destdir=\".")
6 RMeCabInstall.bat ( 1 3) RMeCab 1 3 Mac OS X R [] - [] [CRAN] [] [install] RMeCab ***.tgz *** Linux R R R getwd() ** > install.packages("rmecab_0.**.tar.gz", destdir=".", repos = NULL) 6
![[CRAN] [] [install] RMeCab ***.](/docs-images/41/20165549/images/page_6.jpg "tgz *** Linux R R R getwd() ** > install.")
![2 RMeCab RMeCab R RMeCab Windows R [] - [ ] RMeCab ( 2 1 ) R library(rmecab) [Enter] R 2 1 RMeCab RMeCab 2 1 *1 2 1 2 1 RMeCab *2](/docs-images/39/20165549/images/7-0.png "Windows data.zip Mac OS X Unix data.tar.gz Windows data zip [] [] [] zip data data *1 *2 http://groups.google.co.")
7 2 RMeCab RMeCab R RMeCab Windows R [] - [ ] RMeCab ( 2 1 ) R library(rmecab) [Enter] R 2 1 RMeCab RMeCab 2 1 * RMeCab *2 Windows data.zip Mac OS X Unix data.tar.gz Windows data zip [] [] [] zip data data *1 *2 7
8 RMeCabC RMeCabText RMeCabDF RMeCabFreq docmatrix collocate collscores Ngram N, N-gram NgramDF N, N-gram docngram N N-gram rmsign RMeCab 2 1 RMeCab C (C:) R R getwd() 2.1 RMeCab RMeCab RMeCabText() RMeCabFreq() MeCab RMeCabC() RMeCabC() MeCab > res <- RMeCabC("") > res [[1]] 8
9 "" [[2]] "" [[3]] "" [[4]] "" #... > res[[1]] # "" > unlist(res)... "" "" "" ""... > x <- "" # > res <- RMeCabC(x) > unlist(res) R [[]] res[[1]] R unlist() ( x) RMeCabC() RMeCabC() 2 1 () > res <- RMeCabC("", 1) > unlist(res) # 9
![.. > x <- "" # > res <- RMeCabC(x) > unlist(res) R [[]]](/docs-images/41/20165549/images/page_9.jpg "res[[1]] R unlist() ( x) RMeCabC() RMeCabC() 2 1 () 2 0 2 1")
10 "" "" "" "" > res <- RMeCabC("", 0) > unlist(res) # "" "" "" "" ( 2 ) () > res <- RMeCabC("") > res2 <- unlist(res) > res2 "" "" "" "" "" "" "" > res2[names(res2) == ""] "" "" "" "" > names(res2) == "" # [1] TRUE FALSE TRUE FALSE TRUE FALSE TRUE RMeCabC() res2 res2 names() == (TRUE) (FALSE) [] TRUE FALSE res2 TRUE which() TRUE any() > res3 <- names(res2) == "" 10
!["" "" > names(res2) == "" # [1] TRUE FALSE TRUE FALSE TRUE FALSE TRUE RMeCabC() res2 res2](/docs-images/41/20165549/images/page_10.jpg "names() == (TRUE) (FALSE) [] TRUE FALSE res2 TRUE which() TRUE any() > res3 <- names(res2) ==")
11 > res3 [1] TRUE FALSE TRUE FALSE TRUE FALSE TRUE > which(res3) [1] > any(res3) [1] TRUE which() TRUE any() TRUE TRUE RMeCabText() RMeCabText() 1 10 MeCab RMeCab data data yukiguni.txt > res <- RMeCabText("yukiguni.txt") > res [[1]] [1] "" "" "" "*" "*" [6] "*" "*" "" "" "" [[2]] [1] "" "" "" "" "*" "*" "*" "" [9] "" "" [[3]] [1] "" "" "" "*" [5] "*" "" "" "" # RMeCabFreq() RMeCabFreq() Windows Linux Mac OS X Windows > res <- RMeCabFreq("yukiguni.txt") length = 13 > res 11
![txt") > res [[1]] [1] "" "" "" "*" "*" [6] "*" "*" "" "" "" [[2]] [1] "" "" "" "" "*" "*" "*" "" [9] "" "" [[3]] [1] "" ""](/docs-images/41/20165549/images/page_11.jpg "\"\" \"*\" [5] \"*\" \"\" \"\" \"\" #... 2.1.3 RMeCabFreq() RMeCabFreq() Windows Linux Mac OS X Windows > res <- RMeCabFreq(\"yukiguni.")
12 Term Info1 Info2 Freq #... res Term Info1 Info2 Freq data kumo.txt > pt1 <- proc.time() # > res <- RMeCabFreq("kumo.txt") length = 447 > pt2 <- proc.time() > # > pt2 - pt1 # MeCab Windows Mac OS X Linux RMeCabFreq() length = 447 () () 447 Linux Mac OS X 446 Linux Mac OS X MeCab OS MeCab,,*,*,*,*,,,,,*,*,,,,,,,*,*,,,,, Windows,,*,*,*,*,,,,,*,*,,*,*,,,,*,*,,*,*,*,,,,*,*,,,,, 12
13 Windows Mac OS X Linux OS OS MeCab MeCab MeCab *1 Unix OS Windows MeCab 2.2 MeCab Windows MeCab Mac OS X Linux Mecab C: Program Files MeCab bin > mecab,,,,*,*,,,,,,,*,*,,,,,*,*,,,,,,*,*,*,,,,, EOS CSV,-1,-1,1000,,,,,*,*,,, MeCab ID ID motohiro.csv C data ( "C:\data" ) ID ID -1 MeCab Windows []-[]-[ ]-[] cd MeCab bin MeCab *1 13
14 C: Program Files MeCab mecab-dict-index.exe MeCab motohiro.csv \ () C: data > cd C: Program Files MeCab bin C: Program Files MeCab bin > mecab-dict-index.exe \ -d c: Program Files MeCab dic ipadic \ -u ishida.dic -f shift-jis -t shift-jis \ c: data motohiro.csv reading c: data mecabdic.csv... 1 emitting double-array: 100% ########################################### done! done mecab-dict-index.exe ishida.dic C: data MeCab C: Program Files MeCab dict dicrc Windows ([]-[]-[]-[]) userdic = C: data ishida.dic MeCab C: Program Files MeCab bin > mecab,,,,*,*,,,,,,,*,*,,,,*,*,*,,,,, EOS *1 *1 14
15 2.3 R RMeCabDF() RMeCabDF() RMeCabDF() data photo.csv ID, Sex, Reply 1, F, 2, M, 3, F, 4, F, 5, M, 2 2 CSV > # > dat <- read.csv("photo.csv") > res <- RMeCabDF(dat, 3) # () > res <- RMeCabDF(dat, 3, 1) # RMeCabDF() res length(res) [[]] res res[[1]] res[[1]] 5 > res[[1]] "" "" "" "" "" 15
16 2.4 (term-document matrix) T erm doc1 doc2 doc doc1, doc2, doc3 doc1: doc2: doc3: RMeCabText() doc1 doc2 doc docmatrix() docmatrix() 1 data doc doc1.txt, doc2.txt, doc3.txt > res <- docmatrix("doc", pos = c("","","")) > res docs terms doc1.txt doc2.txt doc3.txt [[LESS-THAN-1]]
17 [[TOTAL-TOKENS]] docmatrix() 1 2 pos docmatrix() minfreq [[LESS-THAN-2]] 2 docmatrix() () () 2 [[LESS-THAN-1]] 1 1 minfreq minfreq 2 [[TOTAL-TOKENS]] pos ()pos > res <- docmatrix("doc", pos = c("","")) > res docs terms doc1.txt doc2.txt doc3.txt [[LESS-THAN-1]] [[TOTAL-TOKENS]]
![minfreq minfreq 2 [[TOTAL-TOKENS]] pos ()pos > res <- docmatrix("doc", pos = c("","")) > res](/docs-images/41/20165549/images/page_17.jpg "docs terms doc1.txt doc2.txt doc3.")
18 [[TOTAL-TOKENS]] 2 minfreq 1 > res <- docmatrix("doc", pos = c("",""), minfreq = 2) > res docs terms doc1.txt doc2.txt doc3.txt [[LESS-THAN-2]] [[TOTAL-TOKENS]] [[LESS-THAN-2]] 2 1 morikita > res <- docmatrix("morikita", pos = c("",""), minfreq = 2) > nrow(res) [1] 11 > res docs terms morikita1.txt morikita2.txt morikita3.txt [[LESS-THAN-2]] [[TOTAL-TOKENS]] () morikita1.txt 2 0 morikita3.txt 18
![c("",""), minfreq = 2) > nrow(res) [1] 11 > res docs terms morikita1.txt morikita2.txt morikita3.](/docs-images/41/20165549/images/page_18.jpg "txt [[LESS-THAN-2]] 18 19 21 [[TOTAL-TOKENS]] 42 60 77 2 0 0 2 0 0 0 5 2 0 2 0 0 2 0 0 0 2 0 0 2 0 0 2 0 0 2 () 426077 2")
19 1 [[LESS-THAN-2]] 2.5 () CPU (local weight) (global weight) (normalization) 3 (term frequency; TF) IDF (inverse document frequency) (2002) (1999) docmatrix() docmatrix() tf (), tf2 (: logarithimic TF)tf3 (2 : binary weight) idf ()idf2 ( IDF)idf3 ( IDF)idf4 () norm () weight * tf idf > res <- docmatrix("doc", pos = c("","",""), weight = "tf*idf") > res docs 19
20 terms doc1.txt doc2.txt doc3.txt doc1.txt 1 tf idf id f = log N n i + 1 N n i w i 2 idf log2(3/3) log2(3/2) + 1) log2(3/1) + 1) tf weight *norm > res <- docmatrix("doc", pos = c("","",""), weight = "tf*idf*norm") > res docs terms doc1.txt doc2.txt doc3.txt () 20
21 8 docmatrix() (t f id f ) 2 doc1.txt = tf*idf N-gram N-gram N N [ - ] [ - ] [ - ] N 2 bi-gram () 2 3 N bi-gram bi-gram
22 Ngram() Ngram() N bi-gram N-gram Ngram() R bi-gram > res <- Ngram("yukiguni.txt") file = yukiguni.txt Ngram = 2 length = 38 > nrow(res) [1] 38 > res # Ngram Freq 1 [-] 1 2 [-] 1 3 [-] 1 4 [-] 1 5 [-] 1 6 [-] 1 # [-] 1 35 [-] 1 36 [-] 1 37 [-] 1 38 [-] 1 bi-gram > res <- Ngram("yukiguni.txt", type = 1, N = 2) file = yukiguni.txt Ngram = 2 length = 25 22
23 > nrow(res) [1] 25 > res Ngram Freq 1 [-] 1 2 [-] 1 3 [-] 1 4 [-] 1 5 [-] 1 #.. 20 [-] 1 21 [-] 1 22 [-] 1 23 [-] 1 24 [-] 1 25 [-] 1 bi-gram tri-gram tri-gram N 3 3-gram > # bi-gram > res <- Ngram("yukiguni.txt", type = 2, N = 2) file = yukiguni.txt Ngram = 2 length = 13 > nrow(res) [1] 13 > res Ngram Freq 1 [-] 2 2 [-] 3 3 [-] 2 4 [-] 3 5 [-] 2 6 [-] 2 7 [-] 1 8 [-] 1 9 [-] 6 10 [-] 1 11 [-] 1 12 [-] 1 13 [-] 2 23
24 > > # tri-bram > res <- Ngram("yukiguni.txt", type = 2, N = 3) file = yukiguni.txt Ngram = 3 length = 20 > nrow(res) [1] 20 > res Ngram Freq 1 [--] 1 2 [--] 1 3 [--] 2 4 [--] 1 5 [--] 1 # [--] 1 17 [--] 1 18 [--] 1 19 [--] 1 20 [--] 1 Ngram() type 1 N-gram > res <- Ngram("yukiguni.txt", type = 1, N = 2, pos = "") file = Ngram = 2 length = 7 > res Ngram Freq 1 [-] 1 2 [-] 1 3 [-] 1 4 [-] 1 5 [-] 1 6 [-] 1 7 [-] 1 pos = "" N-gram 24
25 N-gram N-gram RMeCab NgramDF() NgramDF() Ngram() N-gram > kekkadf <- NgramDF("yukiguni.txt", type = 1, N = 2, pos = "") file = yukiguni.txt Ngram = 2 > kekkadf Ngram1 Ngram2 Freq bi-gram (Freq) 1 Ngram() [- ] docngram() docngram() Ngram() 1 type N Ngram() data doc > res <- docngram("doc") > nrow(res) [1] 16 > res Text Ngram doc1.txt doc2.txt doc3.txt [-] [-]
26 [-] # 9 Ngram() docngram() N-gram %in% (collocation) () (node) () collocate() RMeCab collocate() 1 node () span span 3 > res <- collocate("kumo.txt", node = "", span = 3) > nrow(res) [1] 33 > res[25:33,] Term Span Total [[MORPHEMS]] [[TOKENS]]
27 Span Total 2 [[MORPHEMS]] [[TOKENS]] Span collocate() T MI T T (Barnbrook, 1996, p.97) ( - ) Church et al. (1991) ( 4 ) 4/ (4/ ) T T T (Church et al., 1991) MI MI 2 ( ) R 27
28 > log2( 4 / ((4/1808) * 10 * 3 * 2)) MI MI 1.58 (Barnbrook, 1996) MI T T MI RMeCab T MI collocate() ( res) 1 collocate() node span collscores() > res2 <- collscores(res, node = "", span = 3) > res2[25:33,] Term Span Total T MI NA NA [[MORPHEMS]] NA NA 33 [[TOKENS]] NA NA NA [[MORPHEMS]] [[TOKENS]] NA T MI
29 bi-gram, 21 collocate(), 8, 26 colscores(), 8 collscores(), 28 docmatrix(), 8, 16 docngram(), 8, 25 FALSE, 10 IDF, 19 MeCab, 2, 13 MI, 27 Ngram(), 8, 22 NgramDF(), 8 NgramDF(), 25 proc.time(), 12 RMeCab, 1, 5 RMeCabC(), 8 RMeCabDF(), 8, 15 RMeCabFreq(), 8, 11 RMeCabText(), 8, 11 rmsign(), 8 TF, 19 tri-gram, 23 TRUE, 10 T, 27 unlist(), 9, 12 MeCab, 2 RMeCab, 5, 26, 19, 19, 19, 19, 17, 1, 4, 4, 16, 4, 26, 4, 17, 4, 21 29
30 Barnbrook, Geoff (1996) Language and Computers: Edinburgh. Church, K. W., W. Gale, P. Hanks, and D. Hindle (1991) Using statistics in lexical analysis, in Using On-line Resources to Build a Lexicon: Lawrence Erlbaum, pp (2007) R S-PLUS 1 (1999) 5 - (2002) (2006) R 3 30
() (MeCab) *1 Juman ChaSen *2 MeCab ChaSen 1.3 MeCab MeCab OS Windows MeCab [] [Binary package for MS-Windows] [] sourceforge.net [mecab-win32] Mac OS
![() (MeCab) *1 Juman ChaSen *2 MeCab ChaSen 1.3 MeCab MeCab OS Windows MeCab [] [Binary package for MS-Windows] [] sourceforge.net [mecab-win32] Mac OS](/thumbs/91/104969812.jpg "() (MeCab) *1 Juman ChaSen *2 MeCab ChaSen 1.3 MeCab MeCab OS Windows MeCab [] [Binary package for MS-Windows] [] sourceforge.net [mecab-win32] Mac OS")
RMeCab 2008 11 8 1 MeCab RMeCab 1 1.1.............................................. 1 1.2............................................ 1 1.3 MeCab......................................... 2 1.4 RMeCab..........................................
UniDic version
UniDic version 1.3.9 2008 7 UniDic version 1.3.9 Users Manual Yasuharu Den, Atsushi Yamada, Hideki Ogura, Hanae Koiso, and Toshinobu Ogiso Copyright c 2007 2008 The UniDic consortium. All rights reserved.
81 34 6 5 6 6 5 5 6 1 5 2 6 176 414
5 6 5 6 5 6 5 4 4 6 5 5 5 413 175 81 34 6 5 6 6 5 5 6 1 5 2 6 176 414 1 5 5 12 3 4 5 1 1 2 3 2 1 415 177 81 34 2 3 4 5 3 1 2 4 5 1 1 1 4 178 416 65,000 35,000 6,000 2 4 417 179 81 34 4 10,000 5,000 750
Unix * 3 PC 2 Linux, Mac *4 Windows Cygwin Cygwin gnuplot Cygwin unix emulator online gnuplot *5 matplotlib *6 SuperMongo *7 gnuplot gnuplot OS *8 Uni
2015 8 1 ( ) Unix 1 *1 Unix Unix Unix Perl, Python *2 Unix 2 PC gnuplot *1 100 10 10 6 10 = 10 7 1 1/3 3 10 7 10 7.5 1 24 3600 = (30 6)(30 + 6) 100 = 86400 1 10 7.5 *2 Perl, Python Python 1 Unix * 3 PC
ワードプロセッシングについて
Word Word ONOFF (U)(P) ******** 1 OS Windows2000 Windows2000 (U) OK 2 Windows 3 Word 1) 2) (F)(O) A() FD(A) Word 4 1) / > < *.? " : ; 2) SAMPLE2 A SAMPLE2 5 .doc 6 Alt f6f9 7 + 8 ) 2) 9 1) 2) 1) 10 2)
Rによる計量分析：データ解析と可視化 - 第2回 セットアップ
R 2 2017 Email: [email protected] October 16, 2017 Outline 1 ( ) 2 R RStudio 3 4 R (Toyama/NIHU) R October 16, 2017 1 / 34 R RStudio, R PC ( ) ( ) (Toyama/NIHU) R October 16, 2017 2 / 34 R ( ) R
2
1 2 10 14 945 3000 2012 3 10 4 5 6 7 8 9 10 11 12 2011 11 21 12301430 (1215 ) 13 6 27 17 () ( ) ( ) (112360) 2 (1157) (119099) ((11861231) )( ) (11641205) 3 (1277) 3 4 (1558) (1639)() 12 (1699)( ) 7 (1722)
-1-1 1 1 1 1 12 31 2 2 3 4
2007 -1-1 1 1 1 1 12 31 2 2 3 4 -2-5 6 CPU 3 Windows98 1 -3-2. 3. -4-4 2 5 1 1 1 -5- 50000 50000 50000 50000 50000 50000 50000 50000 50000 50000-6- -7-1 Windows 2 -8-1 2 3 4 - - 100,000 200,000 500,000
SNJ HQカリキュラム パソコン入門コース
...1... 2... 2... 4... 5... 5... 6... 9... 12... 13... 13... 13... 14... 16... 16... 17... 18... 19... 20... 22 1.... 22 2.... 22 1 1 1 CPU 106/109 2 3 J ( ) K L F ( ) D S A 4 URL / 5 ffjj Enter / 6 7
できるん?! セキュリティ 〜ハードディスクの情報消去〜 改訂第三版
Project TM R Project 1 7 1.1........................... 7 1.2.............................. 8 1.3..................... 8 1.4.............................. 9 1.5 wipe-out................... 9 2 10 2.1..............................
XFree86 http://www.xfree86.org/ 1. XFree86 2. Kterm 3. Canna 4. Vi Vi VIM 5. Emacs Emacs 21 XEmacs XFree86 4.2 Mac OS X XDarwin Aqua XFree86 4.2 ( X L
UNIX OS Vi Emacs Vi Vi Vi Vi VIM Vim GUI Emacs GNU Emacs Emacs XEmacs XEmacs GUI GNU Emacs Emacs Emacs Lisp Lisp VIM http://www.vim.org Emacs http://www.gnu.org/directory/emacs.html XEmacs http://www.xemacs.org
Microsoft Word - ChoreonoidStartUpGuide.docx
Choreonoid 1 ... 4... 4... 4... 4... 4... 5... 5 Choreonoid... 6 Choreonoid... 6 Choreonoid... 6 Choreonid... 8 Choreonoid... 9 Choreonoid Windows... 9...9...13 Choreonoid (Linux )... 21 Ubuntu Linux...21
Microsoft Word - マニュアル4.1J
Yellow Dog Linux 4.1J 20060605 1. 2. 2.1 2.2 2.3 Mac OS X 2,4 Mac OS 9 2.5 3. Yellow Dog Linux 3.1 Welcome to Yellow Dog Linux 3.2 Language Selection 3.3 3.4 3.5 3.5.1 3.5.2 Disk Druid 3.5.3 3.6 3.7 3.8
Installation and New Features Guide for FileMaker Pro 10 and FileMaker Pro 10 Advanced
FileMaker FileMaker Pro 10 and FileMaker Pro 10 Advanced 2007-2009 FileMaker, Inc. All rights reserved. FileMaker, Inc. 5201 Patrick Henry Drive Santa Clara, California 95054 FileMaker Bento Bento FileMaker,
R による統計解析入門
R May 31, 2016 R R R R Studio GUI R Console R Studio PDF URL http://ruby.kyoto-wu.ac.jp/konami/text/r R R Console Windows, Mac GUI Unix R Studio GUI R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
slice00_install.dvi
Slice Installation manual SPring-8 1 Slice 1 1.1 Windows... 1 1.1.1 Cygwin... 1 1.2 MacOSX... 10 1.2.1 Xcode... 10 2 Slice 14 2.1 Slice... 14 1 1 Slice Slice Winsows UNIX (Liunx, FreeBSD, MacOSX ) Slice
MathLibre KNOPPIX (next generation) 2012 KNOPPIX/Math MathLibre KNOPPIX , KNOPPIX 6.0, next generation. KNOPPIX/Math KDE,
MathLibre KNOPPIX (next generation) 2012 KNOPPIX/Math MathLibre KNOPPIX 20120514, 20120608 KNOPPIX 60, next generation KNOPPIX/Math 2010 KDE, lxde, 1 KNOPPIX/Math DVD Q KNOPPIX/Math A http://wwwmathkobe-uacjp/openxm/math/dojo,
1 1 2 65
3 3 2000 6 14 2 30 4 2 1 1 2 65 1!?? < > 3 2 2 100 19 19 100 100 100 < > 19 2 2 2 2 < > 2000 2000 50 1945 5 50 1945 5 45 20 20 4 1945 4 5 5 5 100 50 20 5 2 20 5 20 5 5 6 20 6 19 5 5 6 5 6 2 20 6 21
2009 Aida et al. Caries Res 2006;40 2000 100 % 78.7 88.0 96.6 98.8 98.8 98.8 100.0 100.0 100 75 69.4 50 75.3 74.8 73.3 73.1 73.0 72.4 71.8 71.7 51.7 40.2 69.4 68.8 73.6 25 22.3 32.8 21.9 22.9 22.1
Morphological Analysis System JUMAN Copyright 2016 Kyoto University All rights reserved. Licensed under the Apache License, Version 2.0 (the Li
JUMAN++ version 1.01 28 9 Morphological Analysis System JUMAN++ 1.01 Copyright 2016 Kyoto University All rights reserved. Licensed under the Apache License, Version 2.0 (the License ); you may not use
1 1.1 PC PC PC PC PC workstation PC hardsoft PC PC CPU 1 Gustavb, Wikimedia Commons.
1 PC PC 1 PC PC 1 PC PC PC PC 1 1 1 1.1 PC PC PC PC PC workstation PC 1.1.1 hardsoft 1.1.2 PC PC 1.1 1 1. 2. 3. CPU 1 Gustavb, Wikimedia Commons.http://en.wikipedia.org/wiki/Image:Personal_computer,_exploded_5.svg
unix.dvi
1 UNIX 1999 4 27 1 UNIX? 2 1.1 Windows/Macintosh? : : : : : : : : : : : : : : : : : : : : : : : : 2 1.2 UNIX OS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1.3 : : : : : : : : : : : :
R Commanderを用いたデータ解析
1 / 82 R Commander Kengo NAGASHIMA Laboratory of Biostatistics, Department of Parmaceutical Technochemistry, Josai University 2010 1 5 R R Commander 2 / 82 R, "The Comprehensive R Archive Network (CRAN)",
LAPLINK ヘルプデスク 操作ガイド
操作ガイド Microsoft Windows 7 Professional Windows Windows Windows 10 Microsoft Windows 10 64bit/32bit Windows Server 2012 R2 Microsoft Windows Server 2012 R2 Windows 8.1 Microsoft Windows 8.1 64bit/32bit
Sophos Anti-Virus UNIX or Linux startup guide
UNIX Linux 1.0 1 UNIX Sophos Anti-Virus Sophos Anti-Virus Sophos Anti-Virus Sophos Anti-Virus UNIX UNIX Sophos Anti-Virus UNIX EM Library Sophos Anti-Virus / Sophos Anti-Virus Network Install CD CD Sophos
UNIX
2000 1 UNIX 2000 4 14 1 UNIX? 2 1.1 UNIX OS....................................... 2 1.2.................................................... 2 1.3 UNIX...................................... 2 1.4 Windows
2.2 Sage I 11 factor Sage Sage exit quit 1 sage : exit 2 Exiting Sage ( CPU time 0m0.06s, Wall time 2m8.71 s). 2.2 Sage Python Sage 1. Sage.sage 2. sa
I 2017 11 1 SageMath SageMath( Sage ) Sage Python Sage Python Sage Maxima Maxima Sage Sage Sage Linux, Mac, Windows *1 2 Sage Sage 4 1. ( sage CUI) 2. Sage ( sage.sage ) 3. Sage ( notebook() ) 4. Sage
1
0 1 2 OK NG 3 ID 4 CMS 5 CMS 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 [PDF 7KB] [ ] 22 23 (HP ( pt) ) () ( 24 25 ( ) 26 27 28 29 #() URL # # 30 [PDF 7KB] [ ] 31 32 33 34 35 HTML HTML 36 37 38 39 40
programmingII2019-v01
II 2019 2Q A 6/11 6/18 6/25 7/2 7/9 7/16 7/23 B 6/12 6/19 6/24 7/3 7/10 7/17 7/24 x = 0 dv(t) dt = g Z t2 t 1 dv(t) dt dt = Z t2 t 1 gdt g v(t 2 ) = v(t 1 ) + g(t 2 t 1 ) v v(t) x g(t 2 t 1 ) t 1 t 2
untitled
580 26 5 SP-G 2011 AI An Automatic Question Generation Method for a Local Councilor Search System Yasutomo KIMURA Hideyuki SHIBUKI Keiichi TAKAMARU Hokuto Ototake Tetsuro KOBAYASHI Tatsunori MORI Otaru
... 3... 3... 3... 3... 4... 7... 10... 10... 11... 12... 12... 13... 14... 15... 18... 19... 20... 22... 22... 23 2
1 ... 3... 3... 3... 3... 4... 7... 10... 10... 11... 12... 12... 13... 14... 15... 18... 19... 20... 22... 22... 23 2 3 4 5 6 7 8 9 Excel2007 10 Excel2007 11 12 13 - 14 15 16 17 18 19 20 21 22 Excel2007
CONTENTS 1 2 2 5 3 8 4 9 5 18 6 20 7 27 8 31 9 Web 33 10 36 11 37 12 39 2
USER'S MANUAL CONTENTS 1 2 2 5 3 8 4 9 5 18 6 20 7 27 8 31 9 Web 33 10 36 11 37 12 39 2 1 Internet Explorer 6.0 DHTML Flash Flash 2 Web Web FTP Web Windows Windows Windows Windows 100 OS CPU HDD DOS/V
できるん?! セキュリティ ～ハードディスクの情報消去～
?! 2004 12 29 40 pp.3 36 34 Project Copyright (C) 2004 by Project 2004 12 PDF 2011 12 http://www.wheel.gr.jp/~dai/software/wipe-out/dekirun2/dekirun2-sample2.pdf CD PDF 2011 12 http://www.wheel.gr.jp/~dai/software/wipe-out/dekirun2/dekirun2-sample.pdf
001-002_...j.f......_..
1 2 1 Chapter of Export 1 10 2 12 3 14 4 16 5 18 6 20 7 22 8 24 9 26 10 28 11 30 12 32 13 34 14 36 15 38 16 40 17 42 18 44 19 46 3 20 48 21 50 22 52 23 54 24 56 25 58 26 60 27 62 28 64 29 66 30 68 Chapter
untitled
1. Ver1.7(Macintosh )... 1 1-1... 1 1-2 Ver1.7... 1 1-3 Ver1.7... 1 1-4... 1 1-4-1... 1 1-4-2... 1 1-4-3... 1 1-5... 1 2... 3 3... 3 3-1... 3 3-2... 3 3-3... 3 3-4 Ver1.6... 3 4 /... 4 4-1... 4 4-2...
Andor
Andor 1FX 2JX/SXFX 3 1.FX DesignFlow 2.FX 3. FX DesignFlow FX 4. 5.FX CADSUPER FX CPU Intel Pentium 2.0GHz 1GB 2GB 3D 2GB 200MB CD-ROM 12801024 True Color Windows Windows OS WindowsXPWindows VistaWindowsWindows
Parallels Desktop 7 クイックスタートガイド
PD7M-P1-411-1 Parallels Desktop 7 for Mac Parallels Desktop 7 for Mac および Parallels Desktop 7 Switch to Mac Edition 兼用 クイック スタート ガイド Copyright 1999-2011 by Parallels Holdings, Ltd. and its affiliates.
2 Windows 10 *1 3 Linux 3.1 Windows Bash on Ubuntu on Windows cygwin MacOS Linux OS Ubuntu OS Linux OS 1 GUI Windows Explorer Mac Finder 1 GUI
2017 1 2017 -September I ll remember- 1,2 Linux 6 Linux Linux 2 3 Linux 2 (OS) Windows MacOS OS MacOS Linux 3 Windows Windows ( ) 1. Bash on Ubuntu on Windows ( Windows 10 ) 2. cygwin ( ) 3. VM Ware Linux
24 SPAM Performance Comparison of Machine Learning Algorithms for SPAM Discrimination
24 SPAM Performance Comparison of Machine Learning Algorithms for SPAM Discrimination 1130378 2013 3 9 SPAM SPAM SPAM SPAM SVM AdaBoost RandomForest SPAM SPAM UCI Machine Learning Repository Spambase 4601
28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment
28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 1170288 2017 2 28 Docker,.,,.,,.,,.,. Docker.,..,., Web, Web.,.,.,, CPU,,. i ., OS..,, OS, VirtualBox,.,
JUMAN++ version
JUMAN++ version 1.0 28 9 Morphological Analysis System JUMAN++ 1.0 Copyright 2016 Kyoto University All rights reserved. Licensed under the Apache License, Version 2.0 (the License ); you may not use this
3 Ubuntu Linux Ubuntu Linux Debian Linux DistroWatch.com 1 Debian Ubuntu Linux 1 Debian CD(4.1 ) Knoppix Debian CentOS Linux CentOS 1 Ubuntu L
Linux PC #5 29 5 12 1 #1 tdh8025 1 Kadai1 evince kghostview ls -a ( ) 5 19 ( ) 2 Linux Linux distribution CentOS Linux Ubuntu Linux PC Linux Linux (OS) OS ( OS ) Linux 1 Linux Hurd FreeBSD GNU OS OS Linux
,…I…y…„†[…e…B…fi…O…V…X…e…•‡Ì…J†[…l…‰fi®“ì‡Ì›Â”‰›»pdfauthor
OS 1 1 4 1.1........................................... 4 1.2........................................... 4 2 5 2.1..................................... 5 2.2 OS................................... 5 3 7
MI( MI() 100% 100% 75% 75% 33% 75% 60% 40% 25% 60% 1 2 3 4 5 6 7 8 9 () 12 () () () !! 1. 2. 3. 1. 2. () () () 3-5% ex. ex. 11 ex. () ex. ex. : ex. : (insula) () () ( 2009 ) () ( ) YES! ()
test CreateIndex test.helpindex test Info.plist XCode Info.plist CFBundleHelpBookFolder string test CFBundleHelpBookName string test.html AppleTitle J
Mac 2008/10/23 Mac Mac HelpBook HTML index.html test CSS HTML OK a href test.html test.html ShiftJIS 1 ShiftJISMac (MacOS) 2 AppleTitle MyApp URL Apple XCode Developer /Developer/Applications/Utilities/Help
4-1. html css html 046 11 12 ht tp ht tp html HyperTex t Markup Language: html <meta ht tp - equiv="content-type" content=" tex t /html; charset=utf-
4.html css html css Adobe Flash JavaScript xml Ajax html css 045 11 12 4-1. html css html 046 11 12 ht tp ht tp html HyperTex t Markup Language: html
dvi
{ SSH { 3 3 1 telnet ID ( ) ID ( 1) SSH(Secure SHell) (ID ) SSH SSH SSH login : userid password : himitsu login : userid psaaword: himitsu login : userid password : himitsu 1. Host 11 7 UNIX ( sakura)
http://banso.cocolog-nifty.com/ 100 100 250 5 1 1 http://www.banso.com/ 2009 5 2 10 http://www.banso.com/ 2009 5 2 http://www.banso.com/ 2009 5 2 http://www.banso.com/ < /> < /> / http://www.banso.com/
MINI2440マニュアル
Open-JTAG LPC2388 + GCC + Eclipse http://www.csun.co.jp [email protected] Ver1.4 2009/7/31 LPC2388 OpenJTAG copyright@2009 http://www.csun.co.jp [email protected] 1 ...3 ARM...4...5...6 4.2 OpenJTAG...6 4.2...8