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RPubs - dplyrå…¥é–€
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hrstt 2014/02/22
R
ãƒªãƒ³ã‚¯
Test Drive of Parallel Computing with R
hrstt 2013/05/27
R
ãƒªãƒ³ã‚¯
ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—æ³•ã§ä¿¡é ¼åŒºé–“ã‚’æ±‚ã‚ã‚‹ã¨ãã®æ³¨æ„ç‚¹ - ã»ããç¬‘ã‚€
1. ã¯ã˜ã‚ã« ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—ä¿¡é ¼åŒºé–“ã«ã¤ã„ã¦èª¿ã¹ã¦ã„ãŸã‚“ã§ã™ãŒã€ç†è«–çš„ãªæ±‚ã‚æ–¹ã¯æ•™ç§‘æ›¸ãªã©ã«è¼‰ã£ã¦ã„ã‚‹ã®ã§ã™ãŒã€å®Ÿè·µçš„ãªæƒ…å ±ãŒå°‘ãªã„ã‚ˆã†ã«æ€ã„ã¾ã™ã€‚ ä»Šå›žã€å°‘ã—èª¿æŸ»ã—ã¦ã¿ã¦ã€å®Ÿéš›ã«é©ç”¨ã™ã‚‹éš›ã«æ³¨æ„ãŒå¿…è¦ã ãªã¨æ„Ÿã˜ãŸã“ã¨ã«ã¤ã„ã¦æ›¸ã„ã¦ãŠãã¾ã™ã€‚ 2. ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—ä¿¡é ¼åŒºé–“ ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—æ³•ã¯ã€ç†è«–çš„ã«æ±‚ã‚ã‚‹ã®ãŒé›£ã—ã„çµ±è¨ˆé‡ã‚’ã€çµŒé¨“åˆ†å¸ƒã‹ã‚‰ã®ã‚·ãƒ³ãƒ—ãƒ«ãªãƒªã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã«ã‚ˆã£ã¦æŽ¨å®šã§ãã‚‹ã¨ã„ã†æ‰‹æ³•ã§ã™ã€‚ ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—æ³•ã§ã¯ã€æŽ¨å®šã•ã‚ŒãŸçµ±è¨ˆé‡ã«å¯¾ã—ã¦ã€ãã®ä¿¡é ¼åŒºé–“ã‚’æ±‚ã‚ã‚‹ã“ã¨ã‚‚ã§ãã¾ã™ã€‚ ã“ã®ã‚ˆã†ãªä¿¡é ¼åŒºé–“ã‚’ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—ä¿¡é ¼åŒºé–“ã¨ã„ã„ã¾ã™ã€‚ ãƒ–ãƒ¼ãƒˆã‚¹ãƒˆãƒ©ãƒƒãƒ—ä¿¡é ¼åŒºé–“ã‚’æ±‚ã‚ã‚‹æ–¹æ³•ã«ã¤ã„ã¦ã¯è‰²ã€…è°è«–ãŒã‚ã‚‹ã‚ˆã†ã§ã™ãŒã€ä¸»ãªæ‰‹æ³•ã¯æ¬¡ã®5ã¤ã§ã™ã€‚ æ£è¦åˆ†å¸ƒè¿‘ä¼¼æ³• ãƒ™ãƒ¼ã‚·ãƒƒã‚¯æ³• ãƒ‘ãƒ¼ã‚»ãƒ³ã‚¿ã‚¤ãƒ«æ³• BCaæ³•(bias-corrected and accelerated percentile me
hrstt 2013/05/21
R

statistics
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Google Analytics + R = FUN! â† Stats raving mad
Ready,Set,Goooo! Now, that the API access is set-up in the one side,we should make the connection to R. You should already know that RCurl is a bit tricky as I have oulined in theÂ A tiny RCurl headacheÂ note. The solution proposed there is applied here as well. note that this issue will be solved in the next release of rga. On the other hand RGoogleAnalytics seems to be already on the spot. Have in
hrstt 2013/05/07
analytics

API

R
ãƒªãƒ³ã‚¯
scratch-R: cluster analysis
ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æž R ã§ã¯æ§˜ã€…ãªã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æžã‚’è¡Œã†ã“ã¨ãŒã§ãã‚‹ (cran task view)ã€‚æœ¬ç¨¿ã§ã¯éšŽå±¤çš„å‡é›†æ³• (hierarchical agglomerative) ã€åˆ†å‰²æ³• (partitioning) ã€ãƒ¢ãƒ‡ãƒ«ãƒ™ãƒ¼ã‚¹æ³• (model based) ã«ã¤ã„ã¦èª¬æ˜Žã™ã‚‹ã€‚çµ¶å¯¾ã«æ£ã—ã„ã¨ã„ã†æ‰‹æ³•ã¯ãªã„ã®ã§æ³¨æ„ã€‚ å‚è€ƒ Rã§ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æž Rã¨ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æž1 Rã¨ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æž2 ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã¨ã¯ (ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æžã¨ã¯) ã€Šã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼åˆ†æžã€‹ ãƒ‡ãƒ¼ã‚¿ã®æº–å‚™ æ¬ æå€¤ã‚’çœã„ã¦ãŠãã“ã¨ã€‚ # è¶³ç«‹æµ©å¹³ (2006). å¤šå¤‰é‡ãƒ‡ãƒ¼ã‚¿è§£æžæ³•â€•â€•å¿ƒç†ãƒ»æ•™è‚²ãƒ»ç¤¾ä¼šç³»ã®ãŸã‚ã®å…¥é–€â€•â€•ã€€ãƒŠã‚«ãƒ‹ã‚·ãƒ¤å‡ºç‰ˆã®ç¬¬2ç« ã‹ã‚‰ã€‚æ„Ÿè¬ mat <- matrix(c(3.2, 3.4, 3, 3.2, 4.2, 4, 4, 3.7, 3.6, 3.6, 3.7, 3.4, 3.2, 3.2, 2.7, 3.5, 3
hrstt 2013/05/06
cluster

R
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ã€CodeIQæä¾›ã€‘ãƒ‡ãƒ¼ã‚¿è§£æžãƒ»å¯è¦–åŒ–ãªã‚‰ä¿ºã‚‰ã«ä»»ã›ã‚ï¼- ç¬¬30å›žRå‹‰å¼·ä¼šã¾ã¨ã‚ #TokyoR
2013å¹´4æœˆ20æ—¥ï¼ˆåœŸï¼‰ã«ãƒ‹ãƒ•ãƒ†ã‚£æ ªå¼ä¼šç¤¾ã®ã‚»ãƒŸãƒŠãƒ¼ãƒ«ãƒ¼ãƒ ã§ã€ç¬¬30å›žRå‹‰å¼·ä¼šï¼ æ±äº¬ï¼ˆ#TokyoRï¼‰ãŒé–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚#TokyoRã¯ã€é‡Œæ´‹å¹³æ°(@yokkuns) ãŒä¸»å‚¬ã—ã¦ã„ã‚‹Rè¨€èªžã‚’å¦ã¶ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®å‹‰å¼·ä¼šã§ã™ã€‚ä»Šå›žã¯100åä»¥ä¸Šã®å‚åŠ å¸Œæœ›ãŒã‚ã£ãŸãŸã‚ã€è£œæ¬ ãŒå‡ºã¦ã—ã¾ã£ãŸã»ã©ã®äººæ°—ã‚¤ãƒ™ãƒ³ãƒˆã§ã™ã€‚Â ãã‚‚ãã‚‚ Rè¨€èªžã¨ã¯ã€çµ±è¨ˆå‡¦ç†ã‚’å¾—æ„ã¨ã™ã‚‹è¨€èªžã§ã‚ã‚Šã€ãƒ‡ãƒ¼ã‚¿ã®è§£æžã‚„å¯è¦–åŒ–ãªã©ã‚’æ¯”è¼ƒçš„ç°¡å˜ã«å®Ÿè¡Œå‡ºæ¥ã‚‹ãƒ„ãƒ¼ãƒ«ã§ã™ã€‚ ä»Šå›žã¯ã€ãã®äººæ°—ã‚¤ãƒ™ãƒ³ãƒˆã§ã‚ã‚‹ç¬¬30å›žRå‹‰å¼·ä¼šï¼ æ±äº¬ã«ãŠé‚ªé”ã—ã€å…¨5æ™‚é–“ã«æ¸¡ã‚‹ã‚¢ãƒ„ã„å†…å®¹ã‚’ã¾ã¨ã‚ã¦ãŠå±Šã‘ã—ã¾ã™ã€‚ã¾ãŸã“ã¡ã‚‰ã®å‹‰å¼·ä¼šã¾ã¨ã‚è¨˜äº‹ã¯ã€æ ªå¼ä¼šç¤¾ãƒªã‚¯ãƒ«ãƒ¼ãƒˆã‚ãƒ£ãƒªã‚¢ãŒé‹å–¶ã™ã‚‹ã€ŒCodeIQï¼ˆã‚³ãƒ¼ãƒ‰ã‚¢ã‚¤ã‚ãƒ¥ãƒ¼ï¼‰ã€ã®ã”å”åŠ›ã§æä¾›ã•ã‚Œã¦ãŠã‚Šã¾ã™ã€‚ ï¼ˆå½“æ—¥ã®ã‚¢ã‚¸ã‚§ãƒ³ãƒ€ï¼‰ ãã‚Œã§ã¯ã€å„ã‚»ãƒƒã‚·ãƒ§ãƒ³å†…å®¹ã®ã”ç´¹ä»‹ã§ã™ã€‚ åˆå¿ƒè€…ã‚»ãƒƒã‚·ãƒ§ãƒ³1 ã€Œã¯ã˜ã‚ã¦ã®Rã€ æœ€åˆã¯ã€Ræ´ä¸‰å¹´ãƒ»ãƒ“ã‚¸
hrstt 2013/04/30
R
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ç¾Žã—ã„ãƒšã‚¢ãƒ—ãƒãƒƒãƒˆå›³ã‚’ç°¡å˜ã«ä½œã‚‹ - My Life as a Mock Quant
ç¾Žã—ã„æç”»ã‚’è¡Œã†ãŸã‚ã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¨ã—ã¦æœ‰åãªggplot2ã®ä»²é–“ï¼Ÿã«GGallyãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãªã‚‹ã‚‚ã®ãŒã‚ã‚‹ã‚‰ã—ãã€ãã®ä¸ã®ggpairsé–¢æ•°ã‚’ä½¿ã†ã¨ãµã¤ãã—ã„ãƒšã‚¢ãƒ—ãƒãƒƒãƒˆãŒæ¥½ã«ä½œæˆã§ãã‚‹ã€‚ ã§ãã‚‹ã®ã¯ã„ã„ã‚“ã ãŒã€ã“ã®é–¢æ•°ã‚’ä½¿ã£ã¦plotã™ã‚‹éš›ã®ãƒ•ã‚©ãƒ³ãƒˆã‚µã‚¤ã‚ºå¤‰æ›´æ–¹æ³•ãŒã‚°ã‚°ã£ã¦ã‚‚ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«èªã‚“ã§ã‚‚å‡ºã¦æ¥ãªã‹ã£ãŸã®ã§ãƒ¡ãƒ¢ã£ã¦ãŠãã€‚ ä¾‹ã®ã”ã¨ãã€ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¯ install.packages("GGally") ã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦ãŠãã€‚ è‚å¿ƒã®ãƒ•ã‚©ãƒ³ãƒˆã‚µã‚¤ã‚ºã®å¤‰æ›´ã«ã¤ã„ã¦ã¯ã€çµè«–ã¨ã—ã¦paramså¼•æ•°ã«listã¨ã—ã¦å…¥ã‚Œã‚Œã°ã‚ˆãã€å„ç¨®ãƒ•ã‚©ãƒ³ãƒˆã‚µã‚¤ã‚ºã«ã¤ã„ã¦ã¯ size:æ•£å¸ƒå›³ã®ç‚¹ã®ã‚µã‚¤ã‚ºï¼ˆä»Šå›žã¯ä½¿ç”¨ã—ã¦ãªã„ï¼‰ labelSize:å„é …ç›®ï¼ˆåˆ—åï¼‰ã®æ–‡å—ã‚µã‚¤ã‚º corSize:ç›¸é–¢å€¤ã®æ–‡å—ã‚µã‚¤ã‚º ã¨å¯¾å¿œã—ã¦ãŠã‚Šã€ã“ã‚Œã‚‰ã‚’æ‰€æœ›ã®ã‚µã‚¤ã‚ºã«è¨å®šã—ã¦ã‚„ã‚Œã°OKã ã€‚*1 å®Ÿéš›ã«PLOTã—ã¦ã¿ã‚‹ã¨ä»¥ä¸‹ã®ã‚ˆã†ãªæ„Ÿã˜
hrstt 2013/04/25
ggplot2

R
ãƒªãƒ³ã‚¯
Summarizing Data in R Using Plyr and Reshape | Mathew Analytics
hrstt 2013/04/11
R
ãƒªãƒ³ã‚¯
Inundata â€“ A quick introduction to ggplot2
My friend Jonah asked me to guest lecture in his R seminar aimed at grad students and postdocs in Integrative Biology. I gave Jonah a bunch of topics ranging from reproducible research with R to data manipulation. The consensus was data visualization so I put together a 2 hour talk/hands on presentation for ggplot2 beginners. Hereâ€™s my presentation if anyone else might find it useful. What worked
hrstt 2013/04/11
R
ãƒªãƒ³ã‚¯
JIN'S PAGE
Rã€Rè¨€èªžã€Rç’°å¢ƒãƒ»ãƒ»ãƒ»ãƒ»ãƒ»ãƒ» Rã®ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã¨ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« ãƒªãƒ³ã‚¯é›† é¡Œå Chap_01 ãƒ‡ãƒ¼ã‚¿è§£æžãƒ»ãƒžã‚¤ãƒ‹ãƒ³ã‚°ã¨Rè¨€èªž Chap_0ï¼’ Rã§ã®ãƒ‡ãƒ¼ã‚¿ã®å…¥å‡ºåŠ› Chap_03 Rã§ã®ãƒ‡ãƒ¼ã‚¿ã®ç·¨é›†ã¨æ¼”ç®— Chap_04 Rã¨åŸºæœ¬çµ±è¨ˆé‡ Chap_05 Rã§ã®é–¢æ•°ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆ Chap_06 Rã§ã®ãƒ‡ãƒ¼ã‚¿ã®è¦–è¦šåŒ–(1) Chap_07 Rã§ã®ãƒ‡ãƒ¼ã‚¿ã®è¦–è¦šåŒ–(2) Chap_08 Rã§ã®ãƒ‡ãƒ¼ã‚¿ã®è¦–è¦šåŒ–(3) Chap_09 GGobiã¨ãƒ‡ãƒ¼ã‚¿ã®è¦–è¦šåŒ–(Rgobi) Chap_10 Rã¨ç¢ºçŽ‡åˆ†å¸ƒ Chap_11 Rã¨æŽ¨å®š Chap_12 Rã¨æ¤œå®š Chap_13 Rã¨åˆ†æ•£åˆ†æž Chap_14 Rã¨å›žå¸°åˆ†æž Chap_15 Rã¨é‡å›žå¸°åˆ†æž Chap_16 Rã¨ä¸€èˆ¬åŒ–ç·šå½¢ãƒ¢ãƒ‡ãƒ« Chap_17 Rã¨éžç·šå½¢ãƒ¢ãƒ‡ãƒ« Chap_18 Rã¨åˆ¤åˆ¥åˆ†æž Chap_19 Rã¨æ¨¹æœ¨ãƒ¢ãƒ‡ãƒ« Chap_20 WEK
hrstt 2013/04/06
R
ãƒªãƒ³ã‚¯
R ã®é–¢æ•°ã®å¼•æ•°ã®æ•°ã‚’å¾—ã‚‹ - æ¨ã¦ã‚‰ã‚ŒãŸãƒ–ãƒã‚°
args é–¢æ•°ã‚’ä½¿ã†ã“ã¨ã§ï¼Œé–¢æ•°ã®å¼•æ•°ãƒªã‚¹ãƒˆã‚’å–å¾—ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ args(sqrt) ã“ã“ã§å¾—ã‚‰ã‚Œã‚‹çµæžœã¯ã‚¯ãƒãƒ¼ã‚¸ãƒ£ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆãªã®ã§ï¼Œ formals é–¢æ•°ã«ã‚ˆã‚Šï¼Œãƒªã‚¹ãƒˆã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã«ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ formals(args(sqrt)) ãƒªã‚¹ãƒˆãªã®ã§ï¼Œ length é–¢æ•°ã«ã‚ˆã‚Šå¼•æ•°ã®æ•°ã‚’å¾—ã‚‹ã“ã¨ãŒã§ãã¾ã™[A]ã€‚ length(formals(args(sqrt))) ã“ã‚Œã‚’ç”¨ã„ã¦ï¼Œä¾‹ãˆã°ï¼Œç‰¹å®šã®åå‰ç©ºé–“ã«å˜åœ¨ã™ã‚‹ã™ã¹ã¦ã®é–¢æ•°ã®å¼•æ•°ã®æ•°ã‚’å–å¾—ã—ãŸã„å ´åˆã¯æ¬¡ã®ã‚ˆã†ã«ã§ãã¾ã™ã€‚ e <- asNamespace("stats") exports <- sapply(ls(envir=e), get, envir=e) functions <- exports[sapply(exports, is.function)] sapply(functions, function(f)
hrstt 2013/03/20
R
ãƒªãƒ³ã‚¯
R: RStanã‚’ãŸã‚ã™: Taglibro de H
ã‚ãŸã‚‰ã—ã„BayesæŽ¨å®šã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã‚ã‚‹Stan 1.0.0ã¨ã€ãã®Rã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ã‚¹ã®RStan 1.0.0ãŒç™ºè¡¨ã•ã‚Œã¦ã„ã‚‹(Revolutions: RStan: Fast, multilevel Bayesian modeling in R)ã€‚ Stan â†’ C++ â†’ ãƒã‚¤ãƒ†ã‚£ãƒ–ãƒã‚¤ãƒŠãƒª ã¨ã€ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã—ã¦é«˜é€Ÿã«è¨ˆç®—ã§ãã¨ã„ã†ã“ã¨ã ã€‚ ã•ã£ãããŸã‚ã—ã¦ã¿ã‚‹ã€‚ library(rstan) x <- rpois(30, 4) model <- ' data { int<lower=0> n; // number of data int<lower=0> x[n]; // data } parameters { real<lower=0> lambda; // mean } model { for (i in 1:n) { x[i] ~ poisson(lambda); } lambd
hrstt 2013/03/13
data

R

stan
ãƒªãƒ³ã‚¯
Nasdaq Data Link
The source for financial, economic, and alternative datasets, serving investment professionals.
hrstt 2013/03/11
R

statistics

database
ãƒªãƒ³ã‚¯
MacR ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã‹ã‚‰æœ€åˆã®èµ·å‹•
4æœˆ10æ—¥è¿½è¨˜ã€‚é–‹ç™ºè€…ã®ä»Šå°¾ã•ã‚“ã”è‡ªèº«ãŒ MacR ã®ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã‚µã‚¤ãƒˆã‚’ç”¨æ„ã—ã¦ãã ã•ã£ãŸã®ã§ã€ãã¡ã‚‰ã®ãƒªãƒ³ã‚¯ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ç‰ã®èª¬æ˜Žã¯ã‚ã‚Šã¾ã›ã‚“ã®ã§å½“ãƒ–ãƒã‚°ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã¯æ®‹ã—ã¦ãŠãã¾ã™ãŒã€ãƒ•ã‚¡ã‚¤ãƒ«è‡ªä½“ã¯ã“ã¡ã‚‰ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¦ãã ã•ã„ã€‚ MacR ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã‚µã‚¤ãƒˆ https://sites.google.com/site/casualmacr/ 2æœˆ23æ—¥ã®LETé–¢è¥¿æ”¯éƒ¨ãƒ¡ã‚½ãƒ‰ãƒã‚¸ãƒ¼ç ”ç©¶éƒ¨ä¼šã§æ£å¼ã«ç™ºè¡¨ã•ã‚ŒãŸ MacR ã¯ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®çµ±è¨ˆè§£æžã‚½ãƒ•ãƒˆ R ã« GUI ã‚’è£…å‚™ã—ã€ãƒ‰ãƒ©ãƒƒã‚°ãƒ»ã‚¢ãƒ³ãƒ‰ãƒ»ãƒ‰ãƒãƒƒãƒ—ãªã©ã‚’ä½¿ã„ãªãŒã‚‰ç›´æ„Ÿçš„ã«çµ±è¨ˆå‡¦ç†ã‚’è¡Œã†ã“ã¨ã‚’ç›®æŒ‡ã—ãŸ Mac OS X å°‚ç”¨ã®ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã§ã™ã€‚ è£½ä½œè€…ã®ä»Šå°¾åº·è£•ã•ã‚“ï¼ˆå¤§é˜ªå¤§å¦ï¼‰ã«ã‚ˆã‚‹æ£å¼ãªã‚µã‚¤ãƒˆãŒæœªå®Œæˆã§ã€ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã‚„ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«çš„ãªã‚‚ã®ã‚‚æœªæ•´å‚™ãªãŸã‚ã€ã¨ã‚Šã‚ãˆãšã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã‚’ã—ã¦ä½¿ãˆã‚‹ã‚ˆã†ã«ãªã‚‹ã¾ã§ã®æ‰‹
hrstt 2013/02/25
ä»Šå¾Œã«æœŸå¾…ã—ã¦ä½¿ã£ã¦ã¿ã‚ˆã†

R

mac
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Publishing from R+knitr to WordPress - Yihui Xie | è°¢ç›Šè¾‰
hrstt 2013/02/12
R
ãƒªãƒ³ã‚¯
R Graphical Manual
hrstt 2013/02/07
R
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