[B! R] kzfmã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

kzfm id:kzfm

Rã«é–¢ã™ã‚‹kzfmã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (78)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

Python spyre ã«ã‚ˆã‚‹ãƒ‡ãƒ¼ã‚¿åˆ†æžçµæžœã®Webã‚¢ãƒ—ãƒªåŒ– - StatsFragments
R ã‚’ä½¿ã£ã¦ã„ã‚‹æ–¹ã¯ã”å˜çŸ¥ã ã¨æ€ã†ãŒã€R ã«ã¯ {Shiny} ã¨ã„ã†ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãŒã‚ã‚Šã€ãƒ‡ãƒ¼ã‚¿åˆ†æžã®çµæžœã‚’ ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ãª Web ã‚¢ãƒ—ãƒªã¨ã—ã¦å…±æœ‰ã™ã‚‹ã“ã¨ãŒã§ãã‚‹ã€‚{Shiny} ã£ã¦ä½•ï¼Ÿã¨ã„ã†æ–¹ã«ã¯ ã“ã¡ã‚‰ã®èª¬æ˜ŽãŒã‚ã‹ã‚Šã‚„ã™ã„ã€‚ qiita.com Python ã§ã‚‚ {Shiny} ã®ã‚ˆã†ãªãŠæ‰‹è»½å¯è¦–åŒ–ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ãŒã‚ã‚‹ã¨ã„ã„ã‚ˆãã€ã¨ãŸã³ãŸã³è¨€ã‚ã‚Œã¦ã„ãŸã®ã ãŒã€spyre ã¨ã„ã† ãªã‚“ã‹ãã‚Œã£ã½ã„ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãŒã‚ã£ãŸã®ã§è§¦ã£ã¦ã¿ãŸã„ã€‚ github.com ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« pip ã§ã€‚ pip install dataspyre ä½¿ã„æ–¹ ç¾æ™‚ç‚¹ã§ ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã¯ãªã„ ã®ã§ã€README ã¨ examples ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã‚’è¦‹ã‚‹ã€‚ã‚µãƒ³ãƒ—ãƒ«ã¨ã—ã¦æ ªä¾¡ã‚’å–å¾—ã—ã¦ãƒ—ãƒãƒƒãƒˆã™ã‚‹Webã‚¢ãƒ—ãƒªã‚’ä½œã£ã¦ã¿ãŸã„ã€‚spyre ã§ Webã‚¢ãƒ—ãƒªã‚’ä½œã‚‹æ‰‹é †ã¯ä»¥ä¸‹ã®3ã¤ã€‚ spyre.server.
kzfm 2016/03/16
Python

R
ãƒªãƒ³ã‚¯
R: ã‚«ãƒ©ãƒ¼ãƒ¦ãƒ‹ãƒãƒ¼ã‚µãƒ«ãƒ‡ã‚¶ã‚¤ãƒ³: Taglibro de H
ã‚«ãƒ©ãƒ¼ãƒ¦ãƒ‹ãƒãƒ¼ã‚µãƒ«ãƒ‡ã‚¶ã‚¤ãƒ³ æŽ¨å¥¨é…è‰²ã‚»ãƒƒãƒˆã®RGBç‰ˆã«æº–æ‹ ã—ãŸè‰²ã‚’ã‹ãˆã™é–¢æ•°ã‚’ã¤ãã£ã¦ã¿ãŸã€‚ ã‚³ãƒ¼ãƒ‰ã€‚ä¾‹ã«ã‚ˆã£ã¦ã‚¨ãƒ©ãƒ¼å‡¦ç†ã¨ã‹ã¯ã„ã„åŠ æ¸›ã€‚ color.universal <- function(index, alpha = 1) { alpha <- alpha * 255 sapply(index, function(i) switch(i, # red red = rgb(255, 51, 0, alpha, maxColorValue = 255), # yellow yellow = rgb(255, 255, 0, alpha, maxColorValue = 255), # green green = rgb(51, 153, 102, alpha, maxColorValue = 255), # blue blue = rgb(0, 65, 255, alpha, maxC
kzfm 2010/11/02
R
ãƒªãƒ³ã‚¯
R: Rcppã§ãƒžãƒ³ãƒ‡ãƒ«ãƒ–ãƒãƒ¼é›†åˆè¨ˆç®—ã‚’é«˜é€ŸåŒ–: Taglibro de H
æ‰¿å‰ã€‚ã‚„ã¯ã‚Šã‚¤ãƒ³ã‚¿ãƒ—ãƒªã‚¿ã§ã¯ãŠãã„ã®ã§ã€Rcppã‚’ã¤ã‹ã£ã¦é«˜é€ŸåŒ–ã—ã¦ã¿ãŸã€‚åŠ‡çš„ã«é€Ÿããªã£ãŸã€‚ [è¿½è¨˜] ç”»åƒã¨ã‚³ãƒ¼ãƒ‰ã‚’æ›´æ–°ã—ã¾ã—ãŸ(10/19 23:20)ã€‚ ã‚³ãƒ¼ãƒ‰ library(Rcpp) library(inline) ## C++ source mandelbrot.src <- " Rcpp::NumericVector x(xx); Rcpp::NumericVector y(yy); unsigned short t = Rcpp::as<unsigned short>(threshold); int nx = x.size(), ny = y.size(); Rcpp::NumericVector u(nx); if (nx != ny) { return Rcpp::wrap(-1); } else { for (int i = 0; i < nx; i++) { st
kzfm 2010/10/20
R
ãƒªãƒ³ã‚¯
è‡ªåˆ†ã®ãŸã‚ã®Rã®è‰² | myscratchpad
Ð¾Ð´Ð½Ð°Ð¶Ð´Ñ‹ Ð¿Ð¾Ð¶Ð°Ð»Ð¾Ð²Ð°Ð»Ð° Ð¿Ð¾ Ñ‚Ñ€ÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑŽ Ð±Ð°Ñ€Ñ‹ÑˆÐ½Ñ Ð½ÐµÐ¿Ñ€ÐµÐ´Ð²Ð·ÑÑ‚Ð¾Ð³Ð¾ Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ. Ð·Ð°Ð±Ñ€Ð¾Ð½Ð¸Ñ€Ð¾Ð²Ð°Ð» Ñ ÐµÐµ Ð¿Ð¾ Ñ‚ÐµÐ»ÐµÑ„Ð¾Ð½Ñƒ Ð¸ Ð²Ð¾ Ð²Ñ€ÐµÐ¼Ñ Ð±ÐµÑÐµÐ´Ñ‹ Ð¿Ð¾Ð·Ð²Ð°Ð», Ñ‡Ñ‚Ð¾Ð±Ñ‹ Ñƒ Ð½ÐµÐµ Ð´Ð°Ð½Ð½Ñ‹Ðµ ÑˆÑ‚ÑƒÐºÐ¸ Ð¸Ð¼ÐµÐ»Ð¸ÑÑŒ Ð¿Ð¾ÐºÑ€ÑƒÐ¿Ð½ÐµÐµ. ÐÐ° Ð´Ñ€ÑƒÐ³Ð¾Ð¼ ÐºÐ¾Ð½Ñ†Ðµ Ð»Ð¸Ð½Ð¸Ð¸ Ð·Ð°Ð²ÐµÑ€Ð¸Ð»Ð¸, Ñ‡Ñ‚Ð¾ ÐºÐ°Ðº Ñ€Ð°Ð· Ñ‚Ð°ÐºÐ°Ñ ÑÐµÐ¹Ñ‡Ð°Ñ Ð¾ÑÐ²Ð¾Ð±Ð¾Ð´Ð¸Ð»Ð°ÑÑŒ Ð¸ Ñ€Ð°ÑÐ¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð° Ð¿Ñ€ÐµÐ´Ð¾ÑÑ‚Ð°Ð²Ð¸Ñ‚ÑŒ Ð¸Ð½Ñ‚Ð¸Ð¼ ÑƒÑÐ»ÑƒÐ³Ð¸ Ð¿Ð¾ Ð½Ð°Ð¸Ð»ÑƒÑ‡ÑˆÐµÐ¼Ñƒ ÐºÐ»Ð°ÑÑÑƒ. Ð»Ð¸ÑˆÑŒ Ñ‚Ð¾Ð»ÑŒÐºÐ¾ Ð¾Ð½Ð° Ð¿Ñ€Ð¸ÐºÐ°Ñ‚Ð¸Ð»Ð°, Ð¼Ñ‹ ÑÑ€Ð°Ð·Ñƒ Ð¿Ñ€Ð¸ÑÑ‚ÑƒÐ¿Ð¸Ð»Ð¸ Ðº Ð´ÐµÐ»Ñƒ. Ð´Ð¾ Ð¾Ð¿Ñ€ÐµÐ´ÐµÐ»ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð²Ñ€ÐµÐ¼ÐµÐ½Ð¸ Ð² Ð½ÐµÐºÐ¾Ñ‚Ð¾Ñ€Ð¾Ð¹ ÑÑ‚ÐµÐ¿ÐµÐ½Ð¸ ÑÐ²
kzfm 2010/07/04
R
ãƒªãƒ³ã‚¯
R ã®æ‹¡å¼µã‚’æ›¸ã(Writing R Extensions)(PDF)
kzfm 2010/06/24
R
ãƒªãƒ³ã‚¯
R: ggplot2ã§geom_contourã¨geom_pointã‚’ã‹ã•ãã‚‹: Taglibro de H
2010-05-10 20:40 nice!(1) ã‚³ãƒ¡ãƒ³ãƒˆ(0) ãƒˆãƒ©ãƒƒã‚¯ãƒãƒƒã‚¯(0) å…±é€šãƒ†ãƒ¼ãƒžï¼šæ—¥è¨˜ãƒ»é›‘æ„Ÿ
kzfm 2010/05/11
R
ãƒªãƒ³ã‚¯
ãƒã‚¸ã‚¹ãƒ†ã‚£ãƒƒã‚¯å›žå¸°ã‚’Rã§å®Ÿè£…ã—ã¦ã¿ãŸ - ãƒãƒ§ãƒƒã‚ãƒ¼ã®é»’æ´å²
ãƒ‘ã‚¿ãƒ¼ãƒ³èªè˜ã¨æ©Ÿæ¢°å¦ç¿’ ä¸Š - ãƒ™ã‚¤ã‚ºç†è«–ã«ã‚ˆã‚‹çµ±è¨ˆçš„äºˆæ¸¬ ä½œè€…: C. M.ãƒ“ã‚·ãƒ§ãƒƒãƒ—,å…ƒç”°æµ©,æ —ç”°å¤šå–œå¤«,æ¨‹å£çŸ¥ä¹‹,æ¾æœ¬è£•æ²»,æ‘ç”°æ˜‡å‡ºç‰ˆç¤¾/ãƒ¡ãƒ¼ã‚«ãƒ¼: ã‚·ãƒ¥ãƒ—ãƒªãƒ³ã‚¬ãƒ¼ãƒ»ã‚¸ãƒ£ãƒ‘ãƒ³æ ªå¼ä¼šç¤¾ç™ºå£²æ—¥: 2007/12/10ãƒ¡ãƒ‡ã‚£ã‚¢: å˜è¡Œæœ¬è³¼å…¥: 18äºº ã‚¯ãƒªãƒƒã‚¯: 1,588å›žã“ã®å•†å“ã‚’å«ã‚€ãƒ–ãƒã‚° (111ä»¶) ã‚’è¦‹ã‚‹ã“ã®æœ¬ã€‚ ä¸€èˆ¬çš„ã«ã¯ã€ŒPRMLã€ã£ã¦å‘¼ã°ã‚Œã¦ã‚‹ã€‚ã‹ãªã‚Šã®è‰¯æ›¸ï¼ˆã‚‰ã—ã„ï¼‰ã€‚ ã‚ã‚‹ç¨‹åº¦ã®çŸ¥è˜ã¨ã‹çµŒé¨“ãŒãªã„ã¨å†…å®¹ã¯ã‚ã‘ã‚ã‹ã‚ï½— èªã‚€ã®ã«ãšã„ã¶ã‚“è‹¦åŠ´ã—ãŸãƒ»ãƒ»ãƒ» ä¸Šå·»ç¬¬4ç« ã®4.3.2.ãƒã‚¸ã‚¹ãƒ†ã‚£ãƒƒã‚¯å›žå¸°ã€œ4.3.3.åå¾©å†é‡ã¿ä»˜ã‘æœ€å°äºŒä¹—(pp204-207)ã‚’Rã§å®Ÿè£…ã—ã¦ã¿ãŸã€‚ ä»Šã¾ã§ã®åˆ†é¡žå™¨ã ã¨å‡ºåŠ›ã¯2å€¤(2ã‚¯ãƒ©ã‚¹ã®å ´åˆ)ã ã£ãŸã‘ã©ã€ä»Šå›žã®å‡ºåŠ›ã¯å®Ÿæ•°ã€ç¢ºçŽ‡ã‚’å‡ºåŠ›ã—ã¾ã™ã€‚ å†™åƒé–¢æ•°ã§å…¥åŠ›ã‚’å¤šæ¬¡å…ƒã«å†™åƒã™ã‚‹ã€‚ï¼ˆã‚„ã‚Šæ–¹ã‚ã‹ã‚‰ãªã„ã®ã§å®Ÿè£…ã—ã¦ã¾ã›ã‚“ã€‚ã¤ã¾ã‚Šè˜åˆ¥é¢ã¯ç·šå½¢ï¼‰ ãƒã‚¸ã‚¹ãƒ†ã‚£ãƒƒã‚¯
kzfm 2010/04/15
R
ãƒªãƒ³ã‚¯
å¤šæ¬¡å…ƒå°ºåº¦æ³•ã§éŠã‚“ã§ã¿ã‚‹ï¼ˆã‚ªãƒ¬æµ Rå…¥é–€ï¼‰ - ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ãŸã‘ã—ï¼ˆå¯…å¹´ï¼‰ã®æ—¥è¨˜
å¤šæ¬¡å…ƒãƒ‡ãƒ¼ã‚¿ã‚’ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã™ã‚‹éš›ã«ã€ãã‚Œã‚‰ã®ãƒ‡ãƒ¼ã‚¿ã‚’2æ¬¡å…ƒãƒ‡ãƒ¼ã‚¿ã«è½ã¨ã—è¾¼ã‚“ã§å¯è¦–åŒ–ã•ã›ãŸã„ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ãã‚“ãªæ™‚ã«ä¾¿åˆ©ãªã®ãŒã€Œå¤šæ¬¡å…ƒå°ºåº¦æ³•ã€ã¨ã„ã†æ‰‹æ³•ã§ã™ã€‚ å€‹ã€…ã®ãƒ‡ãƒ¼ã‚¿é–“ã®è·é›¢ï¼é¡žä¼¼åº¦ãŒåˆ†ã‹ã£ã¦ã„ã‚‹å ´åˆã«ã€ãã‚Œã‚‰ã®ãƒ‡ãƒ¼ã‚¿ã®åº§æ¨™ã‚’æ±‚ã‚ã¦ã€ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’å¾©å…ƒã™ã‚‹ã‚ˆã†ãªã‚‚ã®ã§ã™ã€‚ è©³ã—ã„èª¬æ˜Žã¯å‰²æ„›ã—ã¾ã™ã€‚çŸ¥ã‚ŠãŸã„äººã¯wikipediaã¨é‡‘å…ˆç”Ÿã®é€£è¼‰ã‚’èªã‚“ã§ä¸‹ã•ã„ã€‚ ä½“ã§è¦šãˆã‚‹ã‚¿ã‚¤ãƒ—ãªã®ã§ã€ã¨ã«ã‹ãä½•ã‹ãƒ‡ãƒ¼ã‚¿ã‚’å‡¦ç†ã—ã¦ã¿ã¾ã™ã€‚ ã€Œå±±æ‰‹ç·šã€ã®åœ°å›³ã‚’å†ç¾ ã•ã£ããè©¦ã—ã¦ã¿ã¾ã™ã€‚ å±±æ‰‹ç·šã®å„é§…åŒå£«ã®ç›´ç·šè·é›¢ã‚’æ¸¬ã£ã¦ãŠã„ã¦ã€ãã®ãƒ‡ãƒ¼ã‚¿ã‹ã‚‰å®Ÿéš›ã®ä½ç½®é–¢ä¿‚ã‚’å¾©å…ƒã§ãã‚‹ã‹å®Ÿé¨“ã—ã¦ã¿ã¾ã™ã€‚ å±±æ‰‹ç·šå…¨é§…ã®è·é›¢ã‚’æ¸¬ã‚‹ã®ã¯ã‚ã‚“ã©ã„ã®ã§ã€é©å½“ã«æŠœç²‹ã—ã¦ã—ã‚‰ã¹ã¾ã—ãŸã€‚ ä»¥ä¸‹ã®ã‚ˆã†ãªè¡¨ã«ãªã‚Šã¾ã—ãŸã€‚å˜ä½ã¯ãƒ¡ãƒ¼ãƒˆãƒ«ã§ã™ã€‚ ã•ã¦ã•ã¦ã€ã“ã®è·é›¢è¡¨ã‹ã‚‰ã©ã®ã‚ˆã†ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ãŒå†ç¾ã•ã‚Œã‚‹ã§ã—ã‚‡ã†ã‹ï¼Ÿ ã“ã®ãƒ‡ãƒ¼ã‚¿ã‚’çµ±è¨ˆè§£æžã‚½ãƒ•ãƒˆRã§
kzfm 2010/04/11
R
ãƒªãƒ³ã‚¯
æµ·å¤–ã®Rã®æƒ…å ±æº - yasuhisa's blog
Tokyo.Rã«å‚åŠ ã—ã¦ãã¦ã€è‰²ã‚“ãªäººã¨ãŠè©±ã•ã›ã¦ã‚‚ã‚‰ã£ãŸã‘ã©ã€çµæ§‹Rã‚’ä½¿ã„ã“ãªã—ã¦ã„ã‚‹ãªãã¨æ€ã†äººãŒå¤šã„ã¨ã„ã†ã®ãŒç¬¬ä¸€å°è±¡ã ã£ãŸ(ã‚„ã£ã¦ã‚‹å†…å®¹ã¨ã‹æ‚©ã‚“ã§ã„ã‚‹å•é¡Œã¨ã‹)ã€‚ãŒã€æ‚©ã‚“ã§ã„ã‚‹å•é¡Œã‚’è§£æ±ºã™ã‚‹è¡“ãŒã™ã§ã«å˜åœ¨ã—ã¦ã„ã‚‹ã«ã‚‚é–¢ã‚ã‚‰ãšè‹±èªžãªã®ã§ã€ãã®äººãŸã¡ã«æƒ…å ±ãŒä¼ã‚ã£ã¦ãªã„ã£ã¦ã„ã†ã®ãŒçµæ§‹ã‚ã‚‹ãªãã¨ã„ã†ã®ã‚’æ„Ÿã˜ãŸã€‚æ—¥æœ¬èªžã§èª°ã‹ãŒBlogã¨ã‹ã§ã‚ãƒ£ãƒƒãƒã‚¢ãƒƒãƒ—ã™ã‚‹ã¨ã—ã¦ã‚‚çµæ§‹ã‚¿ã‚¤ãƒ ãƒ©ã‚°ãŒã‚ã‚‹ã—ã€(æœ€è¿‘å¤šãã®æœ¬ãŒå‡ºã¦ã„ã‚‹ã¨ã¯è¨€ãˆ)æœ¬ã«ãªã‚‹ã®ã‚’å¾…ã£ã¦ã„ãŸã‚‰æ•°å¹´å˜ä½ã§ã—ã‹æƒ…å ±ã‚’å¾—ã‚‹ã“ã¨ãŒã§ããªã„ã€‚ã¨ã„ã†ã‚ã‘ã§çµè«–ã¨ã—ã¦ã¯ã€Œè‹±èªžã®ãƒªã‚½ãƒ¼ã‚¹èªã‚!!!ã€ã£ã¦ã“ã¨ã«ãªã‚‹ã‚“ã ã‘ã©ã€è‡ªåˆ†ã‚‚æœ€åˆã¯ã©ã“èªã‚ã°ã„ã„ã‹ã¨ã‹ã‚ˆãåˆ†ã‹ã‚‰ãªã‹ã£ãŸãªãã¨æ€ã£ãŸã®ã§ã€è‡ªåˆ†ãŒèªã‚“ã§ã‚‹è‹±èªžã§æ›¸ã‹ã‚Œã¦ã„ã‚‹Rã®æƒ…å ±æºã«ãªã£ã¦ã„ã‚‹ã¨ã“ã‚ã‚’åˆ—æŒ™ã—ã¦ã„ã“ã†ã¨æ€ã„ã¾ã™ã€‚ åƒ•ã¯IRCã¨ã‹ã¯ä½¿ã£ã¦ãªã„ã®ã§ã€ãã®ä»˜è¿‘ã¯ã‚ˆãåˆ†ã‹ã‚‰ãªã„ã®ã¨ä»–ã«ã‚‚ã¾ã ã¾ã
kzfm 2010/03/28
R
ãƒªãƒ³ã‚¯
æ ªå¼ä¼šç¤¾Yostar
æœ€æ–°æƒ…å ± ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹2019.08.01 ã€Žã‚¢ã‚ºãƒ¼ãƒ«ãƒ¬ãƒ¼ãƒ³ã€ãŒç¬¬ï¼“å›žå…¨å›½ã‚¨ãƒ³ã‚¿ãƒ¡ã¾ã¤ã‚Šã€Œãœã‚“ãŸã‚ã€ã«åˆå‡ºå±•ã„ãŸã—ã¾ã™ ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹2019.07.12 ã€Žã‚³ãƒŸãƒƒã‚¯ãƒžãƒ¼ã‚±ãƒƒãƒˆ96ã€ä¼æ¥ãƒ–ãƒ¼ã‚¹ã«å‡ºå±•æ±ºå®šï¼ ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹2019.04.25 å¯¾æˆ¦åž‹éº»é›€ã‚²ãƒ¼ãƒ ã€Žé›€é‚ã€WEBç‰ˆã®ã‚µãƒ¼ãƒ“ã‚¹ã‚’é–‹å§‹ã„ãŸã—ã¾ã—ãŸ MORE
kzfm 2010/03/23
R
ãƒªãƒ³ã‚¯
ESS - RjpWiki
RjpWiki Â¤ÃÂ¥ÂªÂ¡Â¼Â¥Ã—Â¥Ã³Â¥Â½Â¡Â¼Â¥Â¹Â¤ÃŽÃ…Ã½Â·Ã—Â²Ã²Ã€ÃÂ¥Â·Â¥Â¹Â¥Ã†Â¥Ã R Â¤Ã‹Â´Ã˜Â¤Â¹Â¤Ã«Â¾Ã°ÃŠÃ³Â¸Ã²Â´Â¹Â¤Ã²ÃŒÃœÃ…ÂªÂ¤ÃˆÂ¤Â·Â¤Â¿ Wiki Â¤Ã‡Â¤Â¹Emacs Â¤Â«Â¤Ã© R Â¤Ã²Â»ÃˆÂ¤Â¦ â€ ESS (Emacs Speaks Statistics) Â¤Ã Emacs Â¤Ã¤ XEmacs Â¤Â«Â¤Ã© R Â¤ÃŠÂ¤Ã‰Â¤ÃŽÃ…Ã½Â·Ã—Â²Ã²Ã€ÃÂ¥Â¢Â¥Ã—Â¥ÃªÂ¥Â±Â¡Â¼Â¥Â·Â¥Ã§Â¥Ã³Â¤Ã²ÃŠÃ˜ÃÃ¸Â¤Ã‹Â»ÃˆÂ¤ÃƒÂ¤Ã†Â¤Â·Â¤ÃžÂ¤ÂªÂ¤Â¦Â¡Â¤Â¤ÃˆÂ¤Â¤Â¤Â¦ Lisp Â¥Ã—Â¥ÃÂ¥Â°Â¥Ã©Â¥Ã Â¤Ã‡Â¤Â¹Â¡Â¥Â¡ÃŠÂ¥Â¹Â¥Â¯Â¥ÃªÂ¡Â¼Â¥Ã³Â¥Â·Â¥Ã§Â¥ÃƒÂ¥ÃˆÂ¡Ã‹ ESSÂ¤Â¬Â¤Ã‰Â¤Ã¬Â¤Ã€Â¤Â±Â¤Ã¬Ã‡Â½ÃŽÂ¨Â¸Ã¾Â¾Ã¥Â¤Ã²Â¤Ã¢Â¤Â¿Â¤Ã©Â¤Â·Â¤Ã†Â¤Â¯Â¤Ã¬Â¤Ã«Â¤Ã¢Â¤ÃŽÂ¤Â«Â¡Â¢Â¤ÃŠÂ¤Ã‰Â¤ÃÂ¡Ã–The R BookÂ¡Ã—p.55--56Â¤Ã‹Â½Ã¶Â½Ã’Â¤ÂµÂ¤Ã¬Â¤Ã†Â¤Â¤Â¤ÃžÂ¤Â¹Â¡Â£ â†‘ News â€ ÂºÃ‡Â¿Â·ÃˆÃ‡Â¡Â§5.3.9 update!Â¡Â¡(200
kzfm 2010/03/19
R
ãƒªãƒ³ã‚¯
formulaã¨ã¯ï¼Ÿï¼ˆ1ï¼‰ - ã¯ã‚„ã—ã®ãƒ–ãƒã‚° Rev.3
æŸæ‰€ã§Rã®formulaã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®æ‰±ã„æ–¹ã«ã¤ã„ã¦è©±é¡Œã«ãªã£ã¦ã„ã¦ï¼Œè‡ªåˆ†è‡ªèº«ã‚ã¾ã‚Šè©³ã—ãã¯ãªã‹ã£ãŸã®ã§ï¼Œã¾ã¨ã‚ã¦ãŠãã€‚ formulaã¯Rã«ç‰¹æœ‰ã®ã‚¯ãƒ©ã‚¹ã§ï¼Œä½¿ã„ã“ãªã›ã°åˆ†æžã‚’éžå¸¸ã«åŠ¹çŽ‡åŒ–ã§ãã‚‹ãŒï¼Œã¤ã£ã“ã‚“ã æƒ…å ±ã¯ã‚ã¾ã‚Šè¦‹ã‹ã‘ãªã„ã€‚formulaã¯åŸºæœ¬çš„ã«ã¯å›žå¸°ç³»ã®é–¢æ•°ã®å¼•æ•°ã«ç”¨ã„ã‚‰ã‚Œã‚‹ï¼Œãƒ¢ãƒ‡ãƒ«ã‚’è¡¨ç¾ã™ã‚‹ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã§ã‚ã‚‹ã€‚ fm1 <- y ~ x1 + x2 + x3 class(fm1) #=> [1] "formula" update(fm1, . ~ . + x4) # updateã§æ›¸ãæ›ãˆã‚‰ã‚Œã‚‹ #=> y ~ x1 + x2 + x3 + x4 update(fm1, . ~ . -x1) #=> y ~ x2 + x3 + x4 update(fm1, y2 ~ (.)^2) #=> y2 ~ x1 + x2 + x3 + x1:x2 + x1:x3 + x2:x3 #
kzfm 2010/03/19
R
ãƒªãƒ³ã‚¯
C++ã§ã®ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚’Rã§ä½¿ã„å›žã™ - yasuhisa's blog
TokyoCabinetã‚’Rã‹ã‚‰ä½¿ãˆã‚‹ã‚ˆã†ãªãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’æ›¸ãã¨ã—ãŸã‚‰ã€ä¾‹ãˆã°ã“ã‚“ãªæ„Ÿã˜ã§ãã‚‹ã€‚ GitHub - syou6162/RTokyoCabinet: Simple wrapper of TokyoCabinet for R. ã—ã‹ã—ã€ã“ã‚Œã ã¨getã‚„putã‚’ã™ã‚‹ãŸã³ã«open&closeã—ã«è¡Œã£ã¦ã„ã‚‹ã®ã§ã‚¢ãƒ›ãªæ„Ÿã˜ã§ã‚ã‚‹ã€‚TCHDBã®ãƒã‚¤ãƒ³ã‚¿ã‚’ä½¿ã„å›žã—ãŸã„ã‚ã‘ã§ã™ã€‚ã ãŒã€Rã§ãã‚Œã‚’ã©ã†ã‚„ã£ã¦ä½¿ã„å›žã›ã‚‹ã®ã‹çŸ¥ã‚‰ãªã„orzã€‚ã¨ã„ã†ã‚ã‘ã§èª¿ã¹ã¦ã„ãŸã‚“ã ã‘ã©ã€å…¨ç„¶åˆ†ã‹ã‚‰ãªãã£ã¦Twitterã«ãªã’ã„ã¦ã„ãŸã‚‰ã€@mokjpnã•ã‚“ã¨@R_Linuxã•ã‚“ã«åŠ©ã‘ã¦ã„ãŸã ã„ãŸã€‚ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™!!çµè«–ã‹ã‚‰è¨€ã†ã¨ã€Writing R Extentionsã®External pointers and weak referencesã®ã¨ã“ã‚ã‚’è¦‹ã¦è§£æ±ºã—ãŸã€‚æ—¥æœ¬èªžç‰ˆã®Writing R Extent
kzfm 2010/03/19
R
ãƒªãƒ³ã‚¯
R de Isomap - å…ƒãƒ‡ãƒ¼ã‚¿åˆ†æžã®ä¼šç¤¾ã§åƒã„ã¦ã„ãŸäººã®å››æ–¹å±±è©±
Rã§Isomapã‚’æ›¸ã„ã¦ã¿ãŸã€‚ ãŸã ãã‚Œã ã‘ã€‚ ã¾ã ã‚ã‚“ã¾ã‚ŠRã®ã“ã¨ã¯åˆ†ã‹ã£ã¦ãªã„ã‚“ã ã‘ã©ã€foræ–‡ã‚’ä½¿ã†ã¨æ˜Žã‚‰ã‹ã«å®ŸåŠ¹é€Ÿåº¦çš„ã«ä¸åˆ©ã§ã‚ã‚‹ã“ã¨ã¯åˆ¤æ˜Žã—ãŸã€‚ applyã¨ã‹ã§ã†ã¾ãå›žé¿ã™ã‚‹ã‚“ã ã‚ã†ã‘ã©ã€Cè¨€èªžè‚²ã¡ã®ç§ã«ã¨ã£ã¦ã¯ã€Œè¡Œåˆ—ã®å…¨ã¦ã®è¦ç´ ã«ä½•ã‚‰ã‹ã®å‡¦ç†ã‚’è¡Œã†ã€ã£ã¦ãªã‚‹ã¨ã™ãã«foræ–‡ãŒé ã«æµ®ã‹ã‚“ã§ã—ã¾ã†ã€‚ ã¨ã„ã†ã‚ã‘ã§ã€åƒ•ã®æ›¸ã„ãŸIsomapã«ã¯äºŒé‡ãƒ«ãƒ¼ãƒ—ãŒã‚„ãŸã‚‰ã¨ç™»å ´ã—ã¦ãã¦å®Ÿè¡Œé€Ÿåº¦çš„ã«é€Ÿåº¦çš„ã«éžå¸¸ã«ã ã‚ã ã‚ã§ã™ã€‚ ã©ã†ã—ãŸã‚‚ã®ã‹ã€‚ ã¾ã¨ã‚‚ã«å›ºæœ‰å€¤ãƒ»å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã‚’æ±‚ã‚ã¦ã‚½ãƒ¼ãƒˆã‚’ã‹ã‘ã‚‹ã®ãŒã‚ã‚“ã©ãã•ã‹ã£ãŸã®ã§ã€ä¸»æˆåˆ†åˆ†æžã®é–¢æ•°ã‚’ä»£ç”¨ã—ã¦ã¿ãŸã‚“ã ã‘ã©ã“ã‚Œã§ã„ã„ã®ã ã‚ã†ã‹ï¼Ÿ ã¾ã‚ã€å‰ã«Pythonã§æ›¸ã„ãŸã‚„ã¤ã¨çµæžœãŒå¤§ããé•ã‚ãªã„ã‹ã‚‰ã„ã„ã‚“ã ã‚ã†ã‘ã©... ã‚ã¨ã€eigen(A)ã¨princomp(A)ã¨prcomp(A)ã§å›ºæœ‰å€¤ãŒé•ã†æ°—ãŒã™ã‚‹ã®ã¯ä¿ºã ã‘ï¼Ÿ # ãƒ‡ãƒ¼ã‚¿å–å¾— swiss <-
kzfm 2010/03/14
R
ãƒªãƒ³ã‚¯
ç”Ÿæ…‹å¦ãƒ‡ãƒ¼ã‚¿è§£æž - ãƒ©ãƒ³ãƒ€ãƒ åŠ¹æžœã¨ã¯?
ãƒªãƒ³ã‚¯ GLMM å‚ç…§, R é–¢é€£ã®å‚ç…§ è‡ªç”±é›†ä¼š 2006 ã€Œå€‹ä½“å·®ã€ã®ãƒ¢ãƒ‡ãƒªãƒ³ã‚° Crawley å…ˆç”Ÿ ãŒæ›¸ã„ãŸç”Ÿæ…‹å¦è€…ã‚€ã‘ã®çµ±è¨ˆå¦ã¨ R å…¥é–€æ›¸ Michael J. Cawley. 2005. Statistics: An Introduction using R. Wiley (URL) ã® p.178 ã‚ãŸã‚Šã« random effects ã®ä¸å¯§ãªèª¬æ˜ŽãŒã‚ã£ãŸã®ã§ä¹…ä¿ãŒ å‹æ‰‹ãªãŒã‚‰ç¿»è¨³ã—ã¦ã¿ã¾ã™ï¼Žã“ã® random effects ã¯ (ãŸã¨ãˆã°) logistic å›žå¸°ã‚„ Poisson å›žå¸°ã® overdispersion ã®åŽŸå› ã¨ãªã£ãŸã‚Šï¼Œã‚ã‚‹ã„ã¯æ£è¦åˆ†å¸ƒ + ç·šå½¢ãƒ¢ãƒ‡ãƒ«ãªã‚‰å¤§ãã™ãŽã‚‹ã€Œæ¸¬å®šèª¤å·®ã€ã‚’ã‚‚ãŸã‚‰ã™ã‚‚ã®ã§ã™ï¼Ž ã¦ãã¨ãƒ¼ãªã‚‹è¨³è€…ãƒ»ä¹…ä¿ã‹ã‚‰ã„ãã¤ã‹æ³¨æ„ã‚ã‚‹ã®ã§ã™ãŒâ€¦â€¦ ãã‚‚ãã‚‚ä¹…ä¿è¨³æ–‡ãŒã‚ˆãã‚ã‹ã‚‰ãªã„ãƒ»æ„å‘³ä¸æ˜ŽãŽã¿ãªã¨ã“ã‚ãŒã‚ã‚Šã¾ã™ã®ã§ï¼Œå‚è€ƒç¨‹åº¦ã«ã—ã¦ãã ã•ã„ æ°—ã«
kzfm 2010/03/07
R
ãƒªãƒ³ã‚¯
p36-41Â@Â‰Ã°ÂÃÂiÂ‹Ã Âj20-2135
1. ãƒ†ã‚ã‚¹ãƒˆã®åˆ†é¡ž äºˆã‚ãƒ†ã‚ã‚¹ãƒˆã‚’ã‚«ãƒ†ã‚´ãƒªåŒ–ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚’ ç”¨ã„ã¦ã‚«ãƒ†ã‚´ãƒªã‚’è˜åˆ¥ã™ã‚‹ãƒ«ãƒ¼ãƒ«ï¼ˆãƒ¢ãƒ‡ãƒ«ï¼‰ ã‚’ä½œæˆã—ã€ãã®ãƒ«ãƒ¼ãƒ«ã«åŸºã¥ã„ã¦ã‚«ãƒ†ã‚´ãƒª ãŒæœªçŸ¥ã§ã‚ã‚‹ãƒ†ã‚ã‚¹ãƒˆã‚’ã„ãšã‚Œã‹ã®ã‚«ãƒ†ã‚´ ãƒªã«æŒ¯ã‚Šåˆ†ã‘ã‚‹ã“ã¨ã‚’ãƒ†ã‚ã‚¹ãƒˆã®åˆ†é¡žï¼ˆtext classificationï¼‰ã€ã‚ã‚‹ã„ã¯ãƒ†ã‚ã‚¹ãƒˆã®ã‚«ãƒ†ã‚´ãƒ© ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³ï¼ˆtext categorizationï¼‰ã¨å‘¼ã¶ã€‚ äºˆã‚ã‚«ãƒ†ã‚´ãƒªåŒ–ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚’ç”¨ã„ã¦ã‚«ãƒ†ã‚´ãƒª ã‚’è˜åˆ¥ã™ã‚‹ãƒ«ãƒ¼ãƒ«ã‚’ä½œæˆã™ã‚‹ã“ã¨ã‚’ã€å¦ç¿’ãƒ‡ ãƒ¼ã‚¿ã«åŸºã¥ã„ãŸæ©Ÿæ¢°å¦ç¿’ã¨å‘¼ã³ã€å¦ç¿’ã®çµæžœ ã‚’ç”¨ã„ã¦ãƒ‡ãƒ¼ã‚¿ã‚’åˆ†é¡žã™ã‚‹ã“ã¨ã‚’äºˆæ¸¬ã¨å‘¼ã¶ã€‚ ã¾ãŸã€åˆ†é¡žã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã€ã‚ã‚‹ã„ã¯åˆ†é¡žã‚· ã‚¹ãƒ†ãƒ ã‚’åˆ†é¡žå™¨ï¼ˆclassifierï¼‰ã¨å‘¼ã¶ã€‚ ãƒ†ã‚ã‚¹ãƒˆãƒžã‚¤ãƒ‹ãƒ³ã‚°ã®ç›®çš„ã®ã²ã¨ã¤ã¯ã€é›» ååŒ–ã•ã‚ŒãŸå¤§é‡ã®ãƒ†ã‚ã‚¹ãƒˆã‚’è‡ªå‹•çš„ã«åˆ†é¡žã™ ã‚‹ã“ã¨ã§ã‚ã‚‹ã€‚ä¾‹ãˆã°ã€ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆä¸Šã® å¤§é‡ã®ãƒ†ã‚ã‚¹ãƒˆã‚’ä½•ã‚‰ã‹ã®ç‰¹å¾´ã«åŸºã¥ã„ã¦åˆ† é¡žã™ã‚‹ã“ã¨ã€ã‚³ãƒ¼ãƒ«ã‚»
kzfm 2010/03/05
R
ãƒªãƒ³ã‚¯
Kicking Ass with plyr Â· Cerebral Mastication
kzfm 2010/01/14
R
ãƒªãƒ³ã‚¯
Rã§ã„ã¡ã„ã¡str()ã¨ã‹help()ã¨ã‹ã—ãŸããªã„äººã¯ã€tooltipä½¿ã£ãŸã‚‰ã„ã„ã‹ã‚‚ã—ã‚Œãªã„ - sheephead
Rã§ã„ã¡ã„ã¡str()ã¨ã‹help()ã¨ã‹ã—ãŸããªã„äººã¯ã€tooltipä½¿ã£ãŸã‚‰ã„ã„ã‹ã‚‚ã—ã‚Œãªã„ 2009.11.17 ã€çµ±è¨ˆã€‘R auto-complete, Emacs, ESS, GIS, Lisp æã‚‰ãã€Rã‚’ä½¿ã†ãªã‹ã§ã€ã‹ãªã‚ŠãŠä¸–è©±ã«ãªã‚‹é–¢æ•°ã«str()ã¨ã‹summary()ãŒã‚ã‚Šã¾ã™ã€‚ã“ã„ã¤ã‚‰ã¯ã€ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚’ã„ã‚ã„ã‚ã¨è¦ç´„ã—ã¦ãã‚Œã‚‹é–¢æ•°ã§ã€ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã«æœŸå¾…ã™ã‚‹ãƒ‡ãƒ¼ã‚¿åž‹ãŒå…¥ã£ã¦ã‚‹ã‹ã¨ã‹ã€å¤‰ãªè¨ˆç®—ã—ã¦ãªã„ã‹ã€ã¨ã‹ç¢ºèªã™ã‚‹ã¨ãã«ã²ã£ã˜ã‚‡ãƒ¼ã«ä¾¿åˆ©ãªé–¢æ•°ã€‚ ã“ã®ä»–ã«ã‚‚Rã«ã¯ä¾¿åˆ©ãªé–¢æ•°ãŒãŸãã•ã‚“ã‚ã‚Šã¾ã™ã€‚ã„ã‚ã„ã‚ä¾¿åˆ©ãªé–¢æ•°ã‚’æ‰‹è¶³ã®ã‚ˆã†ã«ä½¿ã„ã“ãªã—ã¦ã“ãã€Rã®æœ¬é ˜ãŒç™ºæ®ã•ã‚Œã‚‹ã®ã§ã™ãŒã€ã“ã“ã®ã¨ã“ã‚åŠ é½¢ã®ã›ã„ã‹ã€å¼•æ•°ãŒå…¨ãè¦šãˆã‚‰ã‚Œãªããªã£ã¦ãã¾ã—ãŸã€‚ã‚“ã§ã„ã¡ã„ã¡helpã‚’å¼•ãã®ã§ã™ãŒã€çµæ§‹é¢å€’ãã•ã„ã€‚ä»Šå›žã¯ã“ã„ã¤ã‚‰ã‚’è§£æ±ºã—ã¦ãã‚Œã‚‹tipsã‚’ã”ç´¹ä»‹ã€‚ ä½•ãŒå«Œãªã®ã‹ str()ãªã‚Šsummar
kzfm 2009/11/17
R
ãƒªãƒ³ã‚¯
AcreMaker
kzfm 2009/11/16
R
ãƒªãƒ³ã‚¯
PRMLï¼–ç« ã€Œã‚¬ã‚¦ã‚¹éŽç¨‹ã«ã‚ˆã‚‹å›žå¸°ã€ã‚’ R ã§è©¦ã™ - æœ¨æ›œä¸è¶³
PRML èªæ›¸ä¼š #8 ãŒæ¥é€±ã«è¿«ã‚‹ä¸ã€‚ ã‚«ãƒ¼ãƒãƒ«æ³•ã‚ã‹ã‚‰ã‚“â€¦â€¦ ã‚¬ã‚¦ã‚¹éŽç¨‹ã‚ã‹ã‚‰ã‚“â€¦â€¦ ãã‚‚ãã‚‚ä»Šå›žã®ä¼šå ´ç„¡äº‹ãŸã©ã‚Šç€ã‘ã‚‹ã‹ãªâ€¦â€¦ ï¼“ã¤ã‚ã®ä¸å®‰ã¯ã¨ã‚Šã‚ãˆãšç½®ã„ã¨ã„ã¦ã€ã‚ã‹ã‚‰ã‚“ã¨ãã¯æ‰‹ã‚’å‹•ã‹ã™ã—ã‹ãªã„ã€‚ ã¨ã„ã†ã‚ã‘ã§ PRML 6.4.2 ã€Œã‚¬ã‚¦ã‚¹éŽç¨‹ã«ã‚ˆã‚‹å›žå¸°ã€ã‚’ R ã§è©¦ã™ã€‚ è¨“ç·´ãƒ‡ãƒ¼ã‚¿ã¯ PRML ã®ã‚µãƒ³ãƒ—ãƒ«ãƒ‡ãƒ¼ã‚¿ã‚’ä½¿ã†ã€‚ # PRML's synthetic data set curve_fitting <- data.frame( x=c(0.000000,0.111111,0.222222,0.333333,0.444444,0.555556,0.666667,0.777778,0.888889,1.000000), t=c(0.349486,0.830839,1.007332,0.971507,0.133066,0.166823,-0.848307,-0.445686,-0
kzfm 2009/10/19
R
ãƒªãƒ³ã‚¯
1 2 3 4 æ¬¡ã®ãƒšãƒ¼ã‚¸