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Shinyã‚¢ãƒ—ãƒªã®ãƒ†ãƒ³ãƒ—ãƒ¬ãƒ¼ãƒˆã‚’ç°¡å˜ã«ä½œæˆã—ã¦ã¿ã‚‹ã€‚ - ï¼²è¨€èªžã«ã‚ˆã‚‹é›»åã‚«ãƒ«ãƒ†ãƒ‡ãƒ¼ã‚¿ã®äºŒæ¬¡åˆ©ç”¨
shinyã‚¢ãƒ—ãƒªãŒç››ã‚Šä¸ŠãŒã£ã¦ã„ã¾ã™ã€‚åƒ•ã®å‘¨ã‚Šã ã‘ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãŒâ€¦ Rè¨€èªžã§ä¾¿åˆ©ãªé–¢æ•°ã‚’ä½œã£ã¦ã€Rstudioã§ä½¿ç”¨ã™ã‚‹ã®ã‚‚è‰¯ã„ã®ã§ã™ãŒã€æ™‚ã«ã¯ãƒžã‚¦ã‚¹ã§æ“ä½œã§ãã‚‹ã‚¢ãƒ—ãƒªã‚’ä½œã‚ŠãŸããªã‚‹æ™‚ã‚‚ã‚ã‚Šã¾ã™ã€‚ãã‚“ãªæ™‚Rã«ã¯ã€shinyãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¨ã„ã†ç°¡å˜ãªã‚¢ãƒ—ãƒªã‚’ä½œã‚‹ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãŒæœ‰ã‚Šã¾ã™ã€‚ ãŸã ã‚¢ãƒ—ãƒªã‚’ä½œã‚Šå§‹ã‚ã¦æ„å¤–ã¨é¢å€’ã ã¨æ„Ÿã˜ã‚‹ã®ãŒã€ã“ã®shinyã‚¢ãƒ—ãƒªã®é››å½¢ã¥ãã‚Šã§ã™ã€‚ã‚«ãƒƒã‚³ã®æ•°ãŒã‚ã‚ãªã‹ã£ãŸã‚Šã€ã‚«ãƒ³ãƒžãŒå¤šã‹ã£ãŸã‚Šã€‚ã‚¢ãƒ—ãƒªã‚’ä½œã‚‹ã¨ä½•åº¦ã‚‚ã‚¨ãƒ©ãƒ¼ã‚’åã‹ã‚Œã¾ã™ã€‚ï¼ˆç·´ç¿’ä¸è¶³ã¨ã„ã†è©±ã‚‚ã‚ã‚Šã¾ã™ãŒâ€¦ï¼‰ ãã“ã§ã€ç°¡å˜ã«shinyã‚¢ãƒ—ãƒªã®ãƒ†ãƒ³ãƒ—ãƒ¬ãƒ¼ãƒˆã‚’ä½œæˆã™ã‚‹ã€ã‚¢ãƒ—ãƒªã‚’ä½œæˆã—ã¦ã¿ã¾ã—ãŸã€‚ã‚‚ã¡ã‚ã‚“shinyã‚¢ãƒ—ãƒªã§â€¦ ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ ã“ã“ã‹ã‚‰zipãƒ•ã‚¡ã‚¤ãƒ«ã‚’ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¦ä½¿ç”¨ã—ã¦ãã ã•ã„ã€‚ GitHub - Algo1970/shinymaker ä½¿ç”¨æ³• ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰å¾Œã€Rstudioã‹ã‚‰shinymakerãƒ•
ZAORIKU 2018/09/15
R
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TokyoR #71
Last month, I was delighted to be invited to speak, along with Hadley Wickham, at the seventy-first meeting of the TokyoR user group in Tokyo, Japan. This day-long mini-conference attracted more than 200 attendees and featured 16 talks that covered a wide range of topics, including two near-real-time analyses of World Cup Soccer games (here and here) and an analysis of wind direction with circular
ZAORIKU 2018/08/16
R

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GitHub - dmi3kno/polite: Be nice on the web
ZAORIKU 2018/07/29
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GitHub - koheiw/workshop-IJTA: Rã«ã‚ˆã‚‹æ—¥æœ¬èªžãƒ†ã‚ã‚¹ãƒˆåˆ†æžå…¥é–€
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ZAORIKU 2018/07/16
R

nlp

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github
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GitHub - RLesur/Rcade: Games to procrastinate with RStudio
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ZAORIKU 2018/06/18
ãƒžãƒªã‚ª

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ggplotã®ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‹ã‚‰çœºã‚ã¦ã¿ã‚‹
å¯¾è±¡è€…ã¨å‰æçŸ¥è˜ Rã«ã¯è§¦ã‚ŒãŸã“ã¨ãŒã‚ã‚‹ ãƒ‡ãƒ¼ã‚¿ã®èªã¿è¾¼ã¿ã¯ã§ãã‚‹ æ–‡å—åˆ—åž‹ï¼Œfactoråž‹ï¼Œæ•°å€¤åž‹ã¯(ãªã‚“ã¨ãªã)ã‚ã‹ã‚‹ ãƒ‡ãƒ¼ã‚¿ãƒ•ãƒ¬ãƒ¼ãƒ ã¨ãƒ™ã‚¯ãƒˆãƒ«ã¯(å¤šå°‘)æ“ä½œãƒ»åŠ å·¥ã§ãã‚‹ ggplot2ã§ã®plotã«å…¨ãæ…£ã‚Œã¦ã„ãªã„ ã§ã‚‚ä½¿ã£ã¦ã¿ãŸã„ ã§ã‚‚ã™ãã‚¨ãƒ©ãƒ¼ã«ã¶ã¤ã‹ã‚‹ ggplot2ã‚’é›°å›²æ°—ã§ä½¿ã£ã¦ã„ã‚‹äºº A layered grammar of graphics â€œGrammar of graphicsâ€ã®æ€æƒ³ã‚’ãƒ¬ã‚¤ãƒ¤ãƒ¼åŒ–ã—ã¦Rä¸Šã§å®Ÿè£…ã—ãŸãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã§ã™ã€‚è©³ã—ãã¯Hadley Wickhamã®Academic portfolioã«ã‚ã‚‹è«–æ–‡ã‚’å‚ç…§ã—ã¦ãã ã•ã„ã€‚ã“ã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®æ ¹åº•ã«ã‚ã‚‹åŽŸåˆã®æ€æƒ³ãŒæ›¸ã‹ã‚Œã„ã‚‹ã®ã§ï¼Œæ™‚é–“ãŒã‚ã‚‹ã¨ãã«èªã‚€ã®ã‚’ãŠã™ã™ã‚ã—ã¾ã™ã€‚ ãƒã‚¤ãƒ³ãƒˆ ã‚ˆãã€Œggplot2ã¯ãã‚Œã„ã ã€ã¨ã‹è¨€ã‚ã‚Œã¾ã™ãŒï¼Œãã“ã¯æœ¬è³ªçš„ãªéƒ¨åˆ†ã§ã¯ãªã„ã¨(å€‹äººçš„ã«ã¯)æ€ã£ã¦ã„ã¾ã™ã€‚å¤§äº‹ãªã®ã¯ï¼Œã€Œã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯
ZAORIKU 2018/03/29
ggplot2

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ZAORIKU 2017/12/16
R
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Learn R, Python & Data Science Online[B!]æ–°ç€è¨˜äº‹ãƒ»è©•ä¾¡ - ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯
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ZAORIKU 2017/12/16
R

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Feature Selection with R / in JP
7 R packages that might be helpful in selecting important features. Slides are in Japanese.Read less
ZAORIKU 2017/12/11
R

@
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The R Corner | SOA
In addition to the d, p, q and r functions, the package provides m and lev functions to compute, respectively, theoretical raw moments, theoretical limited moments and the moment generating function (when it exists). All the probability distributions mentioned above are supported, plus the following ones: beta, exponential, chi-square, gamma, lognormal, normal (no lev), uniform and Weibull of base
ZAORIKU 2017/12/08
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ã¯ã˜ã‚ã« Rã§ç¢ºçŽ‡çš„ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžSTANãŒåˆ©ç”¨ã§ãã‚‹{rstan}ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã€‚ ç§ã¯æ™®æ®µã€ãƒ™ã‚¤ã‚ºçµ±è¨ˆãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã‚’è¡Œã†ãŸã‚ã«ä½¿ã£ã¦ã„ã¾ã™ã€‚ ä»Šå›žã¯ã€rstanã‚’ä½¿ã£ã¦å¤šå±¤ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆ(ãƒ•ãƒ«ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ã®ä¸é–“å±¤2å±¤)ã«æŒ‘æˆ¦ã™ã‚‹æ©Ÿä¼šãŒã‚ã£ãŸã®ã§ã€ å‚™å¿˜éŒ²ã¨ã—ã¦ã¾ã¨ã‚ã¦ãŠã“ã†ã¨æ€ã„ã¾ã™ã€‚ kerasã‚„mxnetã§ã‚„ã‚‹ã‚ˆã‚Šã‚‚åœ§å€’çš„ã«æ™‚é–“ãŒã‹ã‹ã‚Šã¾ã™ã€‚åœ§å€’çš„ã§ã™ã€‚ ä¸€æ–¹ã§ã€ä¿‚æ•°ã‚„ãƒ‹ãƒ¥ãƒ¼ãƒãƒ³ã®å€¤ã‚’äº‹å¾Œåˆ†å¸ƒã¨ã—ã¦æ±‚ã‚ã‚‹ã“ã¨ãŒå‡ºæ¥ã¾ã™ã€‚ãƒ†ã‚¹ãƒˆãƒ‡ãƒ¼ã‚¿ã®ãƒ©ãƒ™ãƒ«ã‚‚äº‹å¾Œäºˆæ¸¬åˆ†å¸ƒã§æ±‚ã‚ã¾ã™ã€‚ ãƒ¢ãƒãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã¯ã€ã“ã®å…ˆã«è€ƒãˆã¦ã„ã‚‹ã€Œãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ãƒ™ã‚¤ã‚ºçµ±è¨ˆãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã€ã«ã‚ã‚Šã¾ã™ã€‚ èªçŸ¥ãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã¨çµ„ã¿åˆã‚ã›ã‚Œã°ã€ç¥žçµŒæ´»å‹•ã®ãƒ™ã‚¤ã‚ºçµ±è¨ˆãƒ¢ãƒ‡ãƒªãƒ³ã‚°ãªã‚“ã‹ãŒã§ãã¡ã‚ƒã†ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãã€‚ ç¾å®Ÿçš„ãªæ™‚é–“å†…ã§æ±‚ã¾ã‚‹ç¨‹åº¦ã®å°è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ãªã‚‰ã°ã€ã§ã™ãŒã€‚ å‚ç…§å…ƒã¯ Stanã§ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆã®å®Ÿè£…ã«é–¢ã™ã‚‹è°è«–ã§ã™ã€‚ã‚³ãƒ¼ãƒ‰ãŒãã®ã¾
ZAORIKU 2017/12/01
R

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ZAORIKU 2017/12/01
R
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Python vs R: 4 Implementations of Same Machine Learning Technique - DataScienceCentral.com
ZAORIKU 2017/10/22
python

R
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RãŠã˜ã•ã‚“ã€Pythonistaã«ãªã‚‹ - cucumber flesh
ã“ã¡ã‚‰ã‚’ã”è¦§ãã ã•ã„ã€‚è¸ã¿çµµã§ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚Rä¸Šã§åœ°ç†ç©ºé–“ãƒ‡ãƒ¼ã‚¿ã‚’æ‰±ã†Pythonãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã€geopandasã«ã‚ˆã‚‹ä½œå›³ã‚’è¡Œãªã£ã¦ã„ã‚‹ç”»é¢ã§ã™ã€‚ ãˆã€Rã§Pythonã‚’!?ã¨é©šã‹ã‚Œã‚‹æ–¹ã‚‚ã„ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãŒã€reticulateã¨ã„ã†Rãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã‚’ä½¿ã†ã“ã¨ã§ã€ã»ã¼ã‚¹ãƒˆãƒ¬ã‚¹ãƒ•ãƒªãƒ¼ã§Pythonã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚„é–¢æ•°ãŒRä¸Šã§åˆ©ç”¨å¯èƒ½ã«ãªã‚Šã¾ã™ã€‚å…ˆã®å›³ã¯æ¬¡ã®ã‚³ãƒ¼ãƒ‰ã«ã‚ˆã£ã¦å®Ÿè¡Œã•ã‚Œã¾ã—ãŸã€‚ library(reticulate) # ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã®å‘¼ã³å‡ºã— gpd <- import("geopandas") plt <- import("matplotlib.pyplot") # ã‚µãƒ³ãƒ—ãƒ«ãƒ‡ãƒ¼ã‚¿ã®èªã¿è¾¼ã¿ world <- gpd$read_file(gpd$datasets$get_path("naturalearth_lowres")) # ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã®ç¢ºèª head(world) # ã§ã¯ãª
ZAORIKU 2017/07/16
R

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useR!2017ã§ãƒã‚¹ã‚¿ãƒ¼ç™ºè¡¨ã—ã¾ã—ãŸ | ãƒªã‚¯ãƒ«ãƒ¼ãƒˆ
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ZAORIKU 2017/07/13
R

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github

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