[B! rstat] mrknã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

mrkn id:mrkn

rstatã«é–¢ã™ã‚‹mrknã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (18)

${{author_name}}$

{{{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}}

ðŸ’®Rã§é€šçŸ¥ - cucumber flesh
ã€ŒRã«ç®¡ç†ã•ã‚ŒãŸã„ã€‚ã€...ãã†ã„ã†é¡˜æœ›ãŒäººé¡žå…±é€šã€èª°ã—ã‚‚ã«ã‚ã‚‹ã¨æ€ã†ã€‚ Rã˜ã‚ƒãªãã¦ã‚‚ã§ãã‚‹ã¯ãšã ã‘ã©ã€Rã«ç®¡ç†ã•ã‚ŒãŸã„é¡˜æœ›ãŒå¼·ã„ã®ã§ã€Rã«ç®¡ç†ã—ã¦ã»ã—ã„ã€‚ ã‚³ãƒ¼ãƒ‰ã®å®Ÿè¡Œå®Œäº†ã‚’é€šçŸ¥ã™ã‚‹ ã¡ã‚‡ã£ã¨èª¿ã¹ãŸé™ã‚Šã§ä»¥ä¸‹ã®è¨˜äº‹ãŒè¦‹ã¤ã‹ã£ãŸã€‚ Getting R to notify you when itâ€™s finished running | Alice M. Brawley Notifications from R | The stupidest thing... Rã‹ã‚‰é€šçŸ¥ã‚’ã¨ã°ã™ from TokorosawaYoshio ã“ã‚Œã‚‰ã¯ç‰¹å®šã®ã‚³ãƒ¼ãƒ‰ãŒå®Ÿè¡Œã—ãŸå¾Œã«é€šçŸ¥ã—ã¦ãã‚Œã‚‹ã¨ã„ã†ã‚‚ã®ã€‚ãƒ¡ãƒ¼ãƒ«ã‚„ã‚‰Yoã‚„ã‚‰ã€æ‰‹æ®µã¯ã„ã‚ã„ã‚ã¨ã‚ã‚‹ã€‚ãŸã ã€ãƒ¡ãƒ¼ãƒ«ã¯æ£ç›´ãƒ€ã‚µã„ã—ã€Yoã‚‚ä»Šã§ã¯ä½¿ã£ã¦ã„ãªã„ã€‚ã‚‚ã£ã¨ã‚·ãƒ³ãƒ—ãƒ«ã«é€šçŸ¥ã—ã¦ãã‚Œã‚‹ã‚‚ã®ãŒæ¬²ã—ã„ã€‚ æ›´ã«æŽ¢ã—ã¦ã¿ãŸã‚‰gistã§ã‚ãƒ£ãƒ—ãƒ†ãƒ³ãŒã™ã§ã«æ›¸ã„ã¦ã„ãŸã€‚æƒšã‚Œã‚‹ã€‚ã‚„ã£
mrkn 2015/09/23
ã‚¦ã‚±ã‚‹

rstat

julia

yo
ãƒªãƒ³ã‚¯
ã¿ã‚“ãªã®R|ãƒžã‚¤ãƒŠãƒ“ãƒ–ãƒƒã‚¯ã‚¹
ã¿ã‚“ãªã®RÂ ãƒ‡ãƒ¼ã‚¿åˆ†æžã¨çµ±è¨ˆè§£æžã®æ–°ã—ã„æ•™ç§‘æ›¸ è‘—ä½œè€…åï¼šJared P. Landerã€ Tokyo.Rï¼ˆå”åŠ›ï¼‰ ç¿»è¨³è€…åï¼šé«˜æŸ³æ…Žä¸€ã€ ç‰§å±±å¹¸å²ã€ ç°‘ç”°é«˜å¿— æ›¸ç±ï¼š4,180å†† é›»åç‰ˆï¼š4,180å†† B5å¤‰åž‹åˆ¤ï¼š448ãƒšãƒ¼ã‚¸ ISBNï¼š978-4-8399-5521-2 ç™ºå£²æ—¥ï¼š2015å¹´06æœˆ30æ—¥ å‚™è€ƒï¼šåˆä¸ç´š å†…å®¹ç´¹ä»‹ ãƒ—ãƒã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆãŒã€Rã®åŸºç¤Žã‹ã‚‰æœ€æ–°ã®ãƒ¢ãƒ€ãƒ³ãªãƒ‡ãƒ¼ã‚¿åˆ†æžã¾ã§è§£èª¬ã€‚ ãƒ—ãƒã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã‹ã‚‰å¦ã¼ã†ï¼ ãƒ—ãƒã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã§ã‚ã‚‹è‘—è€…ãŒã€Rã®åŸºç¤Žã‹ã‚‰æœ€æ–°ã®ãƒ¢ãƒ€ãƒ³ãªãƒ‡ãƒ¼ã‚¿åˆ†æžã¾ã§å¹…åºƒãã‹ã¤ä¸å¯§ã«è§£èª¬ã—ã¦ã„ãã¾ã™ã€‚ çµ±è¨ˆã€ç·šå½¢ä»£æ•°ã€ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚ºãƒªã‚µãƒ¼ãƒã€äººå·¥çŸ¥èƒ½ã€æ©Ÿæ¢°å¦ç¿’ â€• ãŸãã•ã‚“ã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ã‚¹ã®ã‚¿ã‚¹ã‚¯ã‚’ã“ãªã™ã®ã«"R"ã¯å¿…è¦ä¸å¯æ¬ ãªãƒ„ãƒ¼ãƒ«ã§ã™ã€‚äºˆæ¸¬ã‚„è§£æžã«å¿…è¦ãªæ•°å¤šãã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’å°‘ãªã„ã‚³ãƒ¼ãƒ‰ã§åˆ©ç”¨ã™ã‚‹ã“ã¨ãŒã§ãã€æœ€è¿‘ã®"ãƒ¢ãƒ€
mrkn 2015/07/06
ã“ã‚Œé›»ååŒ–ã•ã‚Œãªã„ã‹ãªã€‚

rstat
ãƒªãƒ³ã‚¯
H2Oã®Rãƒ‘ãƒƒã‚±ãƒ¼ã‚¸{h2o}ã§ãŠæ‰‹è»½ã«Deep Learningã‚’å®Ÿè·µã—ã¦ã¿ã‚‹(1)ï¼šã¾ãšã¯æ±ºå®šå¢ƒç•Œã‚’æã - æ¸‹è°·é§…å‰ã§åƒããƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã®ãƒ–ãƒã‚°
æˆ‘ã‚‰ãŒè‡ªç§°ã‚†ã‚‹ãµã‚*1ã‚¬ãƒå‹¢ä»£è¡¨@motivic_æ°ãŒã“ã‚“ãªè¨˜äº‹ã‚’upã—ã¦ã¾ã—ãŸã€‚ ã¨ã„ã†ã“ã¨ã§ã€ã“ã‚“ãªã«ç°¡å˜ã«Deep Learningã‚’Rä¸Šã§è©¦ã›ã‚‹ã‚“ã ã£ãŸã‚‰ã¤ã„ã§ã«åƒ•ã‚‚ã‚„ã£ã¦ã¿ã‚ˆã†ã¨æ€ã£ãŸã®ã§ã—ãŸã€‚ãŸã ã—åŒã˜irisã§ã‚„ã‚‹ã®ã‚‚èŠ¸ãŒãªã„ã®ã§*2ã€ãã“ã¯ã¡ã‚‡ã£ã¨å¤‰ãˆã¦ã¿ã¾ã—ãŸã‚ˆãƒ¼ã¨ã„ã†ã“ã¨ã§ã€‚ ãã†ãã†ã€Deep Learningã®åŽŸç†ã«ã¤ã„ã¦ã¯@0kayuã•ã‚“ã®ã¾ã¨ã‚ãŒã‚ã¡ã‚ƒãã¡ã‚ƒå‚è€ƒã«ãªã‚‹ã¨æ€ã†ã®ã§ã€æ˜¯éžæ˜¯éžã”å‚ç…§ãã ã•ã„ã€‚ å®Ÿè£…ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚° ä»Šå›žã¯ã¾ã åˆæ©ã®åˆæ©ã—ã‹è§¦ã‚Šã¾ã›ã‚“ãŒã€ãã‚Œã§ã‚‚ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®ã¨ã“ã‚ãªã©ã«ã“ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã«ã‚‚å‡ºã¦ãã‚‹ã‚ˆã†ãªæ§˜ã€…ãªåŽŸç†çš„å´é¢ãŒã‹ã‹ã‚ã£ã¦ãã¾ã™ã€‚ ãã‚‚ãã‚‚H2Oã£ã¦ä½•ã ã£ã‘ 0xdata - H2O h2o/R at master Â· 0xdata/h2o Â· GitHub å…ƒã€…H2Oã¯in-memoryãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã¨ã—ã¦Hadoopä¸Šã‚„æœ€
mrkn 2015/04/06
rstat

machine_learning

h2o
ãƒªãƒ³ã‚¯
ãƒ‡ãƒ¼ã‚¿ ï¼† ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹ | ã‚¢ã‚¯ã‚»ãƒ³ãƒãƒ¥ã‚¢
ãƒ‡ãƒ¼ã‚¿åˆ†æžã‹ã‚‰å°Žãå‡ºã•ã‚ŒãŸã‚¤ãƒ³ã‚µã‚¤ãƒˆç„¡ã—ã«AIï¼ˆäººå·¥çŸ¥èƒ½ï¼‰ã®æ´»ç”¨ã¯å§‹ã¾ã‚Šã¾ã›ã‚“ã€‚ç§ãŸã¡ã¯ã€å„æ¥ç•ŒçŸ¥è˜ã¨ãƒ‡ãƒ¼ã‚¿ãƒ»ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹æŠ€è¡“ã‚’é§†ä½¿ã—ãƒ‡ãƒ¼ã‚¿ãƒ‰ãƒªãƒ–ãƒ³çµŒå–¶ã‚’å¼·åŠ›ã«æ”¯æ´ã—ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ã€ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹ã€AIã¯ä¼æ¥ã«ã¨ã£ã¦ç«¶åˆä»–ç¤¾ã¨ã®å·®åˆ¥åŒ–ã‚’å›³ã‚‹ã‹ã¤ã¦ãªã„ã»ã©å¤§ããªè¦å› ã«ãªã£ã¦ã„ã¾ã™ã€‚ä»Šæ—¥ã®çµŒå–¶å¹¹éƒ¨ãŒåŠ¹çŽ‡ã‚’å‘ä¸Šã—ãªãŒã‚‰æ–°ãŸãªåŽç›Šæºã‚’é–‹æ‹“ã—ã€æ–°ã—ã„ãƒ“ã‚¸ãƒã‚¹ãƒ¢ãƒ‡ãƒ«ã‚’ã‚¿ã‚¤ãƒ ãƒªãƒ¼ã«æ§‹ç¯‰ã™ã‚‹æ–¹æ³•ã‚’æ¨¡ç´¢ã™ã‚‹ä¸ã€ä¾¡å€¤ã‚’ç”Ÿã¿å‡ºã—æˆé•·ã‚’ç¶šã‘ã‚‹ä¼æ¥ã«ã¯ã€Œãƒ‡ãƒ¼ã‚¿æ´»ç”¨ã€ã¨ã„ã†å…±é€šé …ãŒã‚ã‚Šã¾ã™ã€‚ç§ãŸã¡ã¯ã€ç„¡æ•°ã®ãƒ‡ãƒ¼ã‚¿ã‹ã‚‰ä¼æ¥ã«ã¨ã£ã¦æœ¬å½“ã«å¿…è¦ãªãƒ‡ãƒ¼ã‚¿ã‚’æ´»ç”¨ã™ã‚‹ãŸã‚ã®æ–¹æ³•ã‚’çŸ¥ã£ã¦ã„ã¾ã™ã€‚ å°†æ¥ã‚’è¦‹æ®ãˆãŸã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ä½“åˆ¶ã‚’å‚™ãˆã¦ã„ã‚‹ä¼æ¥ã®åŠæ•°ä»¥ä¸Šï¼ˆ52ï¼…ï¼‰ã¯ã€ã™ã§ã«ãƒ‡ãƒ¼ã‚¿ã¨ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹ã‚’å¤§è¦æ¨¡ã«æ´»ç”¨ã—ã¦ã„ã¾ã™ã€‚ãƒ‡ãƒ¼ã‚¿ã¨AIã«é–¢ã™ã‚‹å–ã‚Šçµ„ã¿ã‚’ãƒ“ã‚¸ãƒã‚¹æˆ¦ç•¥ã«æ²¿ã£ã¦å®Ÿæ–½ã™ã‚‹ã“ã¨ã§æŠ•è³‡åˆ©ç›ŠçŽ‡ã‚’è¿…é€Ÿã«æœ€å¤§åŒ–ã—ã€æœ€çµ‚çš„ã«ã¯AIã‚’ãƒ“
mrkn 2015/04/06
rstat

machine_learning
ãƒªãƒ³ã‚¯
R GPGPU
Enabling GPU Computing in the R Statistical Environment R is the most popular open source statistical environment in the biomedical research community. However, most of the popular R function implementations involve no parallelism and they can only be executed as separate instances on multicore or cluster hardware for large data-parallel analysis tasks. The arrival of modern graphics processing un
mrkn 2015/03/17
rstat

gpgpu
ãƒªãƒ³ã‚¯
HP Distributed R
Gain actionable foresight from billions of observations and avoid downsampling Use out-of-the-box, standard R parallel algorithms with near-linear scalability Turbo charge data access performance by 5x and ingest and prepare data in seconds Enable a broader community of developers and DBAs to put predictive analytics into action with support for all BI and data visualization tools Access this new,
mrkn 2015/03/11
åˆ†æ•£Rã

rstat
ãƒªãƒ³ã‚¯
Shiny
Here is a Shiny app Shiny apps are easy to write. Let users interact with your data and your analysis, all with R or Python: R Python library(shiny) library(bslib) library(dplyr) library(ggplot2) library(ggExtra) penguins_csv <- "https://raw.githubusercontent.com/jcheng5/simplepenguins.R/main/penguins.csv" df <- readr::read_csv(penguins_csv) # Find subset of columns that are suitable for scatter p
mrkn 2014/03/30
è¬Žã®ãƒ†ã‚¯ãƒŽãƒã‚¸ã«ã‚ˆã£ã¦ãƒ–ãƒ©ã‚¦ã‚¶ã§ R ãŒå‹•ãã®ï¼Ÿ

web

rstat
ãƒªãƒ³ã‚¯
R 3.0.0 is released! (what's new, and how to upgrade) | R-statistics blog
R-statistics blog Statistics with R, and open source stuff (software, data, community) A few hours agoÂ Peter Dalgaard (of R Core Team) announced the release of R 3.0.0! Â Bellow you can readÂ the changes in this release. One of the features worth noticing is the introduction of long vectors to R 3.0.0. AsÂ David Smith recently wrote: Although many people wonâ€™t notice the difference, theÂ introduction
mrkn 2013/04/12
rstat
ãƒªãƒ³ã‚¯
R 3.0ç™»å ´ - 8å¹´ã¶ã‚Šãƒ¡ã‚¸ãƒ£ãƒ¼ãƒªãƒªãƒ¼ã‚¹
R is a language and environment for statistical computing and graphics. Rãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¯4æœˆ3æ—¥(ã‚ªãƒ¼ã‚¹ãƒˆãƒªã‚¢æ™‚é–“)ã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžRã®æœ€æ–°ç‰ˆã¨ãªã‚‹ã€ŒR 3.0.0ã€ã‚’å…¬é–‹ã—ãŸã€‚R 3.0.0ã®æ–°æ©Ÿèƒ½ã«é–¢ã—ã¦ã¯ã€ŒR 3.0.0 is released! (whatâ€™s new, and how to upgrade)ã€ã«è©³ã—ã„èª¬æ˜ŽãŒã‚ã‚‹ã€‚ã“ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã¯ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®å†ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ãŒå¿…è¦ã«ãªã£ã¦ã„ã‚‹ãŸã‚æ³¨æ„ãŒå¿…è¦ã€‚ Rã¯çµ±è¨ˆè¨ˆç®—ã‚„çµ±è¨ˆãƒ‡ãƒ¼ã‚¿ã®ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯åŒ–ãªã©ã‚’å®Ÿæ–½ã™ã‚‹ãŸã‚ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžãŠã‚ˆã³çµ±è¨ˆå‡¦ç†ç’°å¢ƒã€‚ãƒ™ãƒ«ç ”ç©¶æ‰€ã§é–‹ç™ºã•ã‚ŒãŸã€ŒSã€ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ç‰ˆå®Ÿè£…ã«ç›¸å½“ã™ã‚‹ã‚‚ã®ã§ã€ç¾åœ¨ã§ã‚‚ç››ã‚“ã«é–‹ç™ºã•ã‚Œã¦ãŠã‚Šã€å¤šãã®çµ±è¨ˆæ–¹æ³•ã‚’å®Ÿè£…ã—ã€é«˜åº¦ã§ç¾Žã—ã„ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ã‚’å®Ÿæ–½ã™ã‚‹ã“ã¨ã§çŸ¥ã‚‰ã‚Œã‚‹ã€‚çµ±è¨ˆå‡¦ç†ã«ãŠã„ã¦ã¯ã‚ˆã
mrkn 2013/04/12
rstat
ãƒªãƒ³ã‚¯
Built-in Integration with R: New in Mathematica 9
Mathematica 9 offers built-in ways to integrate R code into your Mathematica workflow, combining Mathematica's broad range of capabilities with the statistical computing language. RLink uses J/Link and rJava/JRI Java libraries to allow the user to exchange data between Mathematica and R and to execute R code from within Mathematica. With RLink, R users can use thousands of functions from across th
mrkn 2013/01/10
Mathematica 9 ãŒ R ã¨çµ„ã¿è¾¼ã¿çµ±åˆã•ã‚ŒãŸã€œ

mathematica

rstat
ãƒªãƒ³ã‚¯
ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã®ãŠçŸ¥ã‚‰ã›
mrkn 2012/10/18
rstat

ggplot2

visualization

map
ãƒªãƒ³ã‚¯
ggplot2ã®æ¦‚è¦ - ã¬ã„ãã‚‹ã¿ãƒ©ã‚¤ãƒ•ï¼Ÿ
Tsukuba.R#9ã§ã®ç™ºè¡¨ã«å‘ã‘ã¦ggplot2ã®å‹‰å¼·ã‚’å§‹ã‚ãŸï¼Žã“ã‚Œã¾ã§èª¿ã¹ãŸã“ã¨ã‚’è»½ãã¾ã¨ã‚ã¦ã¿ã‚‹ï¼Ž ggplot2ã¨ã¯ é«˜åº¦ãª2Dã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã®æç”»ã«ã¤ã„ã¦çµ±ä¸€çš„ãªæ“ä½œã‚’æä¾›ã—ã¦ãã‚Œã‚‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªï¼Žã€ŒThe Grammar of Graphicsã€ã¨ã„ã†æ€æƒ³ã«åŸºã¥ã„ã¦ã„ã¦ï¼Œãƒ¦ãƒ¼ã‚¶ãŒãƒ‡ãƒ¼ã‚¿ã®ã©ã®éƒ¨åˆ†ã«æ³¨ç›®ã—ãŸã„ã‹ã‚’è¨˜è¿°ã—ã¦ã„ãã ã‘ã§ç°¡å˜ã«ãã‚Œã„ãªã‚°ãƒ©ãƒ•ã‚’å¾—ã‚‰ã‚Œã‚‹ã‚ˆã†ã«ãªã£ã¦ã„ã‚‹ï¼Ž http://had.co.nz/ggplot2/ ggplot2ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« ã„ã¤ã‚‚é€šã‚Šï¼Ž > install.packages("ggplot2") ggplot2ã§å›³ã‚’æç”»ã™ã‚‹ ggplot2ã§å›³ã‚’æç”»ã™ã‚‹æ–¹æ³•ã¯ä¸»ã«ä»¥ä¸‹ã®2é€šã‚Šï¼Ž qploté–¢æ•°ã‚’ä½¿ã† è‡ªåˆ†ãŒå¾—ãŸã„ã‚°ãƒ©ãƒ•ã«åˆã‚ã›ã¦ãƒ¬ã‚¤ãƒ¤ãƒ¼ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚’çµ„ã¿åˆã‚ã›ã‚‹ ã“ã“ã§ã¯ä»¥ä¸‹ã®ggplot2ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ä»˜å±žã®diamondsã‚µãƒ³ãƒ—ãƒ«ãƒ‡ãƒ¼ã‚¿ã‚’ä½¿ã„ï¼Œãã‚Œ
mrkn 2012/10/18
rstat

ggplot2

visualization
ãƒªãƒ³ã‚¯
æ—¥æœ¬å…¨å›½ã®åœ°éœ‡ã®æŽ¨ç§»ã‚’ggplot2ã§å¯è¦–åŒ–ã™ã‚‹ - ã¬ã„ãã‚‹ã¿ãƒ©ã‚¤ãƒ•ï¼Ÿ
Rubyã‚„Rã§ã‚¹ã‚¯ãƒªãƒ—ãƒˆã‚’æ›¸ã„ã¦å¯è¦–åŒ–ã—ã¦ã¿ãŸï¼Ž tenki.jpã®åœ°éœ‡æƒ…å ±ã‚’å–å¾—ã™ã‚‹Rubyã‚¹ã‚¯ãƒªãƒ—ãƒˆ (fetch_quake_info.rb) ä»¥ä¸‹ã¯2011/3/11 0:00ã‹ã‚‰ç¾åœ¨æ™‚åˆ»ã¾ã§ã®tenki.jpã®åœ°éœ‡æƒ…å ±ã‚’å–å¾—ã™ã‚‹Rubyã‚¹ã‚¯ãƒªãƒ—ãƒˆï¼ŽNokogiriã‚’ä½¿ã£ã¦ã‚¹ã‚¯ãƒ¬ã‚¤ãƒ”ãƒ³ã‚°ã™ã‚‹ï¼Ž #!/usr/bin/env ruby # -*- coding: utf-8 -*- require "open-uri" require "nokogiri" puts "datetime\tplace\tmagnitude" i = 1 cont = true stop = Time.parse(ARGV[0] || "2011/03/11 0:00") while cont doc = Nokogiri::HTML(URI("http://tenki.jp/earthquake/en
mrkn 2012/10/18
ggplot2

visualization

earthquake

rstat
ãƒªãƒ³ã‚¯
ggplot2 ã®è‡ªåˆ†ç”¨ãƒ¡ãƒ¢é›†ã‚’ä½œã‚ã† - Triad sou.
ãƒ—ãƒãƒƒãƒˆã®ä½œè£½ åŸºæœ¬ãƒ—ãƒãƒƒãƒˆã‚’ä½œã‚‹ Geoms Aesthetics é•ã†ç¨®é¡žã®ã‚°ãƒ©ãƒ•ã‚’é‡ãã‚‹ å‚ç…§ç·šã®è¿½åŠ ã‚°ãƒ«ãƒ¼ãƒ—åˆ†ã‘ å±¤åˆ¥ãƒ—ãƒãƒƒãƒˆ ã‚¹ã‚±ãƒ¼ãƒ«ã¨è»¸ Scales è»¸ãƒ©ãƒ™ãƒ«ã‚„ã‚¿ã‚¤ãƒˆãƒ«ã®å¤‰æ›´ è»¸ã®è¡¨ç¤ºç¯„å›²ã‚’å¤‰æ›´ã™ã‚‹ è»¸ã®å·¦å³ã®ä½™ç™½ã‚’å‰Šé™¤ã™ã‚‹ è»¸è¡¨ç¤ºã®ä¿®é£¾ æ—¥æ™‚ã®è»¸ã‚¹ã‚±ãƒ¼ãƒ« è»¸åŒºåˆ‡ã‚Šå€¤ã®å¤‰æ›´ è»¸ã‚¹ã‚±ãƒ¼ãƒ«ã®å¤‰æ›´ (å¤‰æ•°å¤‰æ›) ãƒ—ãƒãƒƒãƒˆã®ã‚½ãƒ¼ãƒˆ (é›¢æ•£åž‹å¤‰æ•°ã®æ°´æº–ã‚’ã‚½ãƒ¼ãƒˆã—ã¦ãƒ—ãƒãƒƒãƒˆ) åº§æ¨™ç³»ã®åè»¢ï¼šæ¨ªå‘ãç®±ã²ã’å›³ æ¥µåº§æ¨™ã¸ã®å¤‰æ›ï¼šå††ã‚°ãƒ©ãƒ• åº§æ¨™ç³»ã®ã‚¢ã‚¹ãƒšã‚¯ãƒˆæ¯”ã®æŒ‡å®š è‰²ã‚»ãƒƒãƒˆã®å¤‰æ›´ ggplot2 ã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆè‰²ã‚»ãƒƒãƒˆã®å®šç¾© ä»»æ„ã®è‰²ã‚»ãƒƒãƒˆã®åˆ©ç”¨ å‡¡ä¾‹ å‡¡ä¾‹ä½ç½®ã®å¤‰æ›´ å‡¡ä¾‹ãƒ©ãƒ™ãƒ«ã®å¤‰æ›´ å‡¡ä¾‹ã®ä¸€éƒ¨ã‚’å‰Šé™¤ã™ã‚‹ ãƒ†ãƒ¼ãƒž (ã‚°ãƒ©ãƒ•èƒŒæ™¯ãƒ»ã‚°ãƒªãƒƒãƒ‰ã®è‰², ãƒžãƒ¼ã‚¸ãƒ³, ãƒ•ã‚©ãƒ³ãƒˆ) Themes å®šç¾©æ¸ˆã¿ theme ã®é©ç”¨ã¨ç·¨é›† theme è¦ç´ ã¨ theme() ã®ä½µç”¨æ™‚ã®æ³¨æ„ç‚¹ ãƒ•ã‚©ãƒ³ãƒˆå¤‰æ›´ ä¿å˜ g
mrkn 2012/10/18
ggplot2

rstat

visualization
ãƒªãƒ³ã‚¯
Rã®ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ä½œæˆãƒ‘ãƒƒã‚±ãƒ¼ã‚¸â€œggplot2â€ã«ã¤ã„ã¦ï½œColorless Green Ideas
ã¯ã˜ã‚ã« Rã«ã¯ã€â€œggplot2â€ã¨ã„ã†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãŒã‚ã‚‹ã€‚ã“ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä½¿ã†ã¨ã€ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã®ä½œå›³ã‚³ãƒžãƒ³ãƒ‰ã‚ˆã‚Šã‚‚åŠ¹çŽ‡çš„ã«ä½œå›³ãŒã§ãã€ã—ã‹ã‚‚åˆ†ã‹ã‚Šã‚„ã™ãã¦ç¾Žã—ã„å›³ã‚’æãã“ã¨ãŒã§ãã‚‹ã€‚ç¾Žã—ã„å›³ã¨ã„ã£ã¦ã‚‚ãƒ”ãƒ³ã¨æ¥ãªã„ã‹ã‚‚ã—ã‚Œãªã„ãŒã€ç™¾èžã¯ä¸€è¦‹ã«ã—ã‹ãšã€ä¸‹ã®2ã¤ã®å›³ã‚’æ¯”ã¹ã¦ã‚‚ã‚‰ã„ãŸã„ã€‚1ã¤ç›®ã®ç™½ã„èƒŒæ™¯ã®å›³ãŒRã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã®ä½œå›³ã‚³ãƒžãƒ³ãƒ‰ã§ä½œæˆã•ã‚ŒãŸæ•£å¸ƒå›³ã§ã‚ã‚‹ã€‚2ã¤ç›®ã®ç°è‰²ã®èƒŒæ™¯ã®å›³ãŒâ€œggplot2â€ã‚’ä½¿ã£ãŸæ•£å¸ƒå›³ã§ã‚ã‚‹ã€‚ Rã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã®ä½œå›³æ©Ÿèƒ½ã‚’ä½¿ã£ãŸå ´åˆã®æ•£å¸ƒå›³ã®ä¾‹ â€œggplot2â€ã‚’ä½¿ã£ãŸå ´åˆã®æ•£å¸ƒå›³ã®ä¾‹ ä»¥ä¸‹ã§ã¯ã€â€œggplot2â€ã®ã‚³ãƒ³ã‚»ãƒ—ãƒˆã¨ç°¡å˜ãªä½œä¾‹ã‚’ç´¹ä»‹ã—ãŸã„ã¨æ€ã†ã€‚æœ€åˆã¯æŠ½è±¡çš„ãªè©±ã‚’ã™ã‚‹ã€‚ã“ã®ãŸã‚ã€æœ€åˆã‹ã‚‰èªã‚“ã§åˆ†ã‹ã‚Šã¥ã‚‰ã‹ã£ãŸã‚‰ã€å¾Œã®æ–¹ã®ä½œä¾‹ã‚’å…ˆã«è¦‹ãŸæ–¹ãŒç†è§£ãŒæ—©ã„ã‹ã‚‚ã—ã‚Œãªã„ã€‚ â€œggplot2â€ã®ã‚³ãƒ³ã‚»ãƒ—ãƒˆ â€œggplot2â€ã¯ã€ã©ã®ã‚ˆã†ã«ä½œå›³ã‚’è¡Œã£ã¦ã„ã‚‹ã®ã§ã‚ã‚ã†ã‹
mrkn 2012/09/04
rstat

ggplot2

visualization
ãƒªãƒ³ã‚¯
Amazon.co.jp: ggplot2: Elegant Graphics for Data Analysis (Use R!): Wickham, Hadley: æœ¬
mrkn 2012/09/04
ã“ã‚Œæ¬²ã—ã„

rstat

visualization
ãƒªãƒ³ã‚¯
Exploring Everyday Things with R and Ruby
Explorers Ahoy!Data, Data, EverywhereBringing the World to UsPacking Your BagsConventions Used in This BookUsing Code ExamplesSafariÂ® Books OnlineHow to Contact UsAcknowledgments RubyWhy RubyInstalling RubyInstalling Ruby from sourceInstalling Ruby using third-party toolsRuby Version Manager (RVM)RubyInstallerInstalling Ruby using your platformâ€™s package management toolRunning RubyRequiring Extern
mrkn 2012/07/25
book

oreilly

ruby

rstat
ãƒªãƒ³ã‚¯
ã©ã®ã‚°ãƒ©ãƒ•ã‚’ä½¿ãˆã°ã„ã„ã‹ã‚’ï¼‘æžšã®ç”»åƒã«ã¾ã¨ã‚ã¦ã¿ãŸâ€¦ã®å›³ã‚’æ—¥æœ¬èªžåŒ–ã—ã¦ã¿ãŸ - é©å®œè¦šæ›¸ã¯ã¦ãªç•°æœ¬
çš†å¤§å¥½ãè‡ªåˆ†ã‚‚å¤§å¥½ããªäºŒåæ³è¡—é“ã¾ã£ã—ãã‚‰ã«ã¯ãƒã‚¿å¸³ã¨ã„ã†è¨˜äº‹ãŒå®šæœŸçš„ã«æŒ™ãŒã‚Šã¾ã™ã€‚è‡ªåˆ†ã‚‚æ™®æ®µè¨˜äº‹ã«ã™ã‚‹ãƒã‚¿ã‚’ã‚ã‚Œã“ã‚Œè‡ªåŠ›ã§æŽ¢ã—ã¦ã„ã‚‹è¨³ã§ã™ãŒã€ã‚«ãƒ¡ãã¡ã•ã‚“ã®ãƒã‚¿æ”¾å‡ºã¯ã‹ãªã‚Šç¾Žå‘³ã—ã„ã€‚ã¨ã„ã†è¨³ã§æœ‰ã‚Šé›£ãã”ç›¸ä¼´ã«é ã‚Šã€ ã€ãƒã‚¿å¸³ã€‘bitlyã§çŸç¸®ã•ã‚ŒãŸURLã‹ã‚‰å‹•ç”»ã ã‘ã‚’æŠœãå–ã£ãŸã‚µã‚¤ãƒˆã€Œbitly.tvã€ + 25è¨˜äº‹*äºŒåæ³è¡—é“ã¾ã£ã—ãã‚‰ã‚ˆã‚Šæ‹å€Ÿã€‚ å…ƒã€…ã®çµµã¯å½“ç„¶è‹±èªž(YjWta.jpg (1024Ã—767))ãªã‚“ã ã‘ã©ã€ã¡ã‚‡ã„ã¨å˜èªžãŒåˆ†ã‹ã‚Šã«ãã„ã®ã§è‡ªåˆ†ãªã‚Šã«å¦¥å½“ãªç”¨èªžã‚’ã‚ã¦ã¦æ—¥æœ¬èªžåŒ–ã—ã¦ã¿ã¾ã—ãŸã€‚ ã¨ã£ã¦ã‚‚ã²ã©ã„è›‡è¶³ ã¾ã‚ã€æ™®é€šã«ã‚°ãƒ©ãƒ•ä½œã£ã¦ã‚‹ã ã‘ãªã‚‰æ£’ã‚°ãƒ©ãƒ•ã€ç·šã‚°ãƒ©ãƒ•ã¨å††ã‚°ãƒ©ãƒ•ãŒã‚ã‚Œã°è¶³ã‚Šã‚‹ã¨æ€ã„ã¾ã™ã€‚çµ„æˆåˆ†æžã®ãŸã‚ã«ã‚¦ã‚ªãƒ¼ã‚¿ãƒ¼ãƒ•ã‚©ãƒ¼ãƒ«ä½¿ã†ã‚ãŸã‚Šã«ãªã‚‹ã¨ãƒ‘ãƒ¬ãƒ¼ãƒˆåˆ†æžã‚„ãƒžãƒˆãƒªã‚¯ã‚¹åˆ†æžã«æ‰‹ãŒå‡ºå§‹ã‚ã¦å¤šåˆ†ã“ã†ã„ã£ãŸå›³ã«ã¾ã¨ã‚ã‚‹ã¨è¨€ã†ã®ã¯åŽ³ã—ã„ã‹ã¨(^^;; å¾Œã§ã™ãã€æ•£å¸ƒå›³ãŒå³ã«ã‚‚å·¦ã«ã‚‚
mrkn 2009/12/28
å††ã‚°ãƒ©ãƒ•ã¯å…¨ä½“ã¨ãã®ä¸ã®ä¸€ã¤ã‚’æ¯”è¼ƒã™ã‚‹éš›ã«ä½¿ã†ãªã‚‰è‰¯ã„ã‘ã©ã€è¤‡æ•°ã®å¯¾è±¡ã‚’æ¯”è¼ƒã™ã‚‹éš›ã«ã¯ä½¿ã†ã¹ãã§ãªã„ã£ã¦æ˜Žè¨˜ã—ã¦æ¬²ã—ã„ã€‚ãã—ã¦ã€Excel ã˜ã‚ƒãªãã¦ GNU R ã‚’ä½¿ãŠã†ã€‚

visualization

chart

rstat
ãƒªãƒ³ã‚¯
1