{"id":966,"date":"2023-07-28T03:52:05","date_gmt":"2023-07-28T03:52:05","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e7%b3%bb%e7%b5%b1%e7%9a%84%e3%82%b5%e3%83%b3%e3%83%95%e3%82%9a%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99r\/"},"modified":"2023-07-28T03:52:05","modified_gmt":"2023-07-28T03:52:05","slug":"%e7%b3%bb%e7%b5%b1%e7%9a%84%e3%82%b5%e3%83%b3%e3%83%95%e3%82%9a%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e7%b3%bb%e7%b5%b1%e7%9a%84%e3%82%b5%e3%83%b3%e3%83%95%e3%82%9a%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99r\/","title":{"rendered":"R \u3067\u306e\u7cfb\u7d71\u7684\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"

<\/p>\n

\n

\u7814\u7a76\u8005\u306f\u591a\u304f\u306e\u5834\u5408\u3001\u6bcd\u96c6\u56e3\u304b\u3089\u30b5\u30f3\u30d7\u30eb<\/a>\u3092\u63a1\u53d6\u3057\u3001\u305d\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u6bcd\u96c6\u56e3\u5168\u4f53\u306b\u3064\u3044\u3066\u306e\u7d50\u8ad6\u3092\u5c0e\u304d\u51fa\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u65b9\u6cd5\u306f\u7cfb\u7d71\u7684\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong>\u3067\u3042\u308a\u3001\u3053\u308c\u306f\u5358\u7d14\u306a 2 \u6bb5\u968e\u306e\u30d7\u30ed\u30bb\u30b9\u3067\u5b9f\u88c5\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n

1.<\/strong>\u6bcd\u96c6\u56e3\u306e\u5404\u30e1\u30f3\u30d0\u30fc\u3092\u7279\u5b9a\u306e\u9806\u5e8f\u3067\u914d\u7f6e\u3057\u307e\u3059\u3002<\/span><\/p>\n

2.<\/strong>\u30e9\u30f3\u30c0\u30e0\u306a\u958b\u59cb\u70b9\u3092\u9078\u629e\u3057\u3001\u30b5\u30f3\u30d7\u30eb\u306e\u4e00\u90e8\u3068\u306a\u308b\u30e1\u30f3\u30d0\u30fc\u3092 n \u4eba\u304b\u3089<\/sup>1 \u4eba\u9078\u629e\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: R \u3067\u306e\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong><\/span><\/h2>\n

\u6821\u9577\u304c\u3001\u5408\u8a08 500 \u4eba\u306e\u751f\u5f92\u304c\u3044\u308b\u5b66\u6821\u304b\u3089 100 \u4eba\u306e\u751f\u5f92\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u5f7c\u5973\u306f\u3001\u5404\u751f\u5f92\u3092\u59d3\u306b\u57fa\u3065\u3044\u3066\u30a2\u30eb\u30d5\u30a1\u30d9\u30c3\u30c8\u9806\u306b\u914d\u7f6e\u3057\u3001\u958b\u59cb\u70b9\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3057\u3001\u30b5\u30f3\u30d7\u30eb\u306b\u542b\u3081\u308b\u751f\u5f92\u3092 5 \u4eba\u3054\u3068\u306b\u9078\u629e\u3059\u308b\u3068\u3044\u3046\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u9078\u629e\u3057\u307e\u3057\u305f\u3002<\/span><\/p>\n

\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u3067\u4f7f\u7528\u3059\u308b\u507d\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n

 #make this example reproducible<\/span>\nset.seed(1)\n\n#create simple function to generate random last names\n<\/span>randomNames <- function<\/span> (n = 5000) {\n  do.call(paste0, replicate(5, sample(LETTERS, n, TRUE), FALSE))\n}\n\n#create data frame\n<\/span>df <- data.frame(last_name = randomNames(500),\n                 gpa = rnorm(500, mean=82, sd=3))\n\n#view first six rows of data frame<\/span>\nhead(df)\n\n  last_name gpa\n1 GONBW 82.19580\n2 JRRWZ 85.10598\n3 ORJFW 88.78065\n4 XRYNL 85.94409\n5 FMDCE 79.38993\n6 XZBJC 80.49061<\/strong><\/pre>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u901a\u3058\u3066 100 \u4eba\u306e\u751f\u5f92\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #define function to obtain systematic sample<\/span>\nobtain_sys = function<\/span> (N,n){\n  k = ceiling(N\/n)\n  r = sample(1:k, 1)\n  seq(r, r + k*(n-1), k)\n}\n\n#obtain systematic sample\n<\/span>sys_sample_df = df[obtain_sys( nrow<\/span> (df), 100), ]\n\n#view first six rows of data frame\n<\/span>head(sys_sample_df)\n\n   last_name gpa\n3 ORJFW 88.78065\n8 RWPSB 81.96988\n13 RACZU 79.21433\n18 ZOHKA 80.47246\n23 QJETK 87.09991\n28 JTHWB 83.87300\n\n#view dimensions of data frame\n<\/span>dim(sys_sample_df)\n\n[1] 100 2<\/strong><\/pre>\n
\u30b5\u30f3\u30d7\u30eb\u306b\u542b\u307e\u308c\u308b\u6700\u521d\u306e\u30e1\u30f3\u30d0\u30fc\u306f\u3001\u5143\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u884c 3 \u306b\u3042\u3063\u305f\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u30b5\u30f3\u30d7\u30eb\u306e\u6b21\u306e\u5404\u30e1\u30f3\u30d0\u30fc\u306f\u3001\u524d\u306e\u30e1\u30f3\u30d0\u30fc\u306e 5 \u884c\u5f8c\u306b\u914d\u7f6e\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n
\u305d\u3057\u3066dim()<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u53d6\u5f97\u3057\u305f\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u304c 100 \u884c 2 \u5217\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u65b9\u6cd5\u306e\u7a2e\u985e<\/a>
R \u3067\u306e\u5c64\u5225\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/a>
R \u3067\u306e\u30af\u30e9\u30b9\u30bf\u30fc \u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u7814\u7a76\u8005\u306f\u591a\u304f\u306e\u5834\u5408\u3001\u6bcd\u96c6\u56e3\u304b\u3089\u30b5\u30f3\u30d7\u30eb\u3092\u63a1\u53d6\u3057\u3001\u305d\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u6bcd\u96c6\u56e3\u5168\u4f53\u306b\u3064\u3044\u3066\u306e\u7d50\u8ad6\u3092\u5c0e\u304d\u51fa\u3057\u307e\u3059\u3002 \u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u65b9\u6cd5\u306f\u7cfb\u7d71\u7684\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3067\u3042\u308a\u3001\u3053\u308c\u306f\u5358\u7d14\u306a 2 \u6bb5\u968e\u306e\u30d7\u30ed\u30bb\u30b9\u3067\u5b9f\u88c5 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-966","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nR \u3067\u306e\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (\u4f8b\u3042\u308a) - Statology<\/title>\n<meta name=\"description\" content=\"R \u3067\u7d44\u7e54\u7684\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u884c\u3046\u65b9\u6cd5\u3092\u4f8b\u3092\u542b\u3081\u3066\u308f\u304b\u308a\u3084\u3059\u304f\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u7cfb\u7d71\u7684\u30b5\u30f3\u30d5\u309a\u30ea\u30f3\u30af\u3099r\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u3067\u306e\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (\u4f8b\u3042\u308a) - Statology\" \/>\n<meta property=\"og:description\" content=\"R \u3067\u7d44\u7e54\u7684\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u884c\u3046\u65b9\u6cd5\u3092\u4f8b\u3092\u542b\u3081\u3066\u308f\u304b\u308a\u3084\u3059\u304f\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u7cfb\u7d71\u7684\u30b5\u30f3\u30d5\u309a\u30ea\u30f3\u30af\u3099r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T03:52:05+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ja\/%e7%b3%bb%e7%b5%b1%e7%9a%84%e3%82%b5%e3%83%b3%e3%83%95%e3%82%9a%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99r\/\",\"url\":\"https:\/\/statorials.org\/ja\/%e7%b3%bb%e7%b5%b1%e7%9a%84%e3%82%b5%e3%83%b3%e3%83%95%e3%82%9a%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99r\/\",\"name\":\"R \u3067\u306e\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (\u4f8b\u3042\u308a) - 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