{"id":964,"date":"2023-07-28T04:00:13","date_gmt":"2023-07-28T04:00:13","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%b1%a4%e5%8c%96%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":"2023-07-28T04:00:13","modified_gmt":"2023-07-28T04:00:13","slug":"%e5%b1%a4%e5%8c%96%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\/%e5%b1%a4%e5%8c%96%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\u5c64\u5225\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0 (\u4f8b\u3042\u308a)"},"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\u3001\u5c64\u5316\u30e9\u30f3\u30c0\u30e0\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong>\u3067\u3059\u3002\u3053\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3067\u306f\u3001\u6bcd\u96c6\u56e3\u3092\u30b0\u30eb\u30fc\u30d7\u306b\u5206\u5272\u3057\u3001\u5404\u30b0\u30eb\u30fc\u30d7\u304b\u3089\u4e00\u5b9a\u6570\u306e\u30e1\u30f3\u30d0\u30fc\u304c\u30b5\u30f3\u30d7\u30eb\u306b\u542b\u3081\u3089\u308c\u308b\u3088\u3046\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u5c64\u5316\u30e9\u30f3\u30c0\u30e0 \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\u5c64\u5316\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong><\/span><\/h2>\n

\u9ad8\u6821\u306f\u30011 \u5e74\u751f\u30012 \u5e74\u751f\u30013 \u5e74\u751f\u3001\u307e\u305f\u306f 4 \u5e74\u751f\u306e 400 \u4eba\u306e\u751f\u5f92\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5404\u5b66\u5e74\u304b\u3089 10 \u4eba\u306e\u751f\u5f92\u304c\u30b5\u30f3\u30d7\u30eb\u306b\u542b\u307e\u308c\u308b\u3088\u3046\u306b\u300140 \u4eba\u306e\u751f\u5f92\u306e\u5c64\u5225\u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001400 \u4eba\u306e\u751f\u5f92\u306e\u30b5\u30f3\u30d7\u30eb \u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u751f\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 data frame<\/span>\ndf <- data.frame(grade = rep(c('Freshman', 'Sophomore', 'Junior', 'Senior'), each<\/span> =100),\n                 gpa = rnorm(400, mean=85, sd=3))\n\n#view first six rows of data frame\n<\/span>head(df)\n\n     gpa grade\n1 Freshman 83.12064\n2 Freshman 85.55093\n3 Freshman 82.49311\n4 Freshman 89.78584\n5 Freshman 85.98852\n6 Freshman 82.53859<\/strong><\/pre>\n
\u884c\u6570\u3092\u4f7f\u7528\u3057\u305f\u5c64\u5225\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 dplyr<\/a>\u30d1\u30c3\u30b1\u30fc\u30b8\u306egroup_by()<\/strong>\u95a2\u6570\u3068sample_n()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u5b66\u5e74 10 \u4eba\u306e\u751f\u5f92\u8a08 40 \u4eba\u306e\u5c64\u5316\u30e9\u30f3\u30c0\u30e0 \u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#obtain laminated sample<\/span>\nstrat_sample <- df %>%\n                  group_by<\/span> (grade) %>%\n                  sample_n<\/span> (size=10)\n\n#find frequency of students from each grade\n<\/span>table(strat_sample$grade)\n\n Freshman Junior Senior Sophomore \n       10 10 10 10 \n<\/strong><\/pre>\n
\u884c\u306e\u4e00\u90e8\u3092\u4f7f\u7528\u3057\u305f\u5c64\u5225\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 dplyr<\/a>\u30d1\u30c3\u30b1\u30fc\u30b8\u306egroup_by()<\/strong>\u95a2\u6570\u3068sample_frac()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u5b66\u5e74\u306e 15% \u306e\u751f\u5f92\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3059\u308b\u5c64\u5225\u30e9\u30f3\u30c0\u30e0 \u30b5\u30f3\u30d7\u30eb\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#obtain laminated sample<\/span>\nstrat_sample <- df %>%\n                  group_by<\/span> (grade) %>%\n                  sample_frac<\/span> (size=.15)\n\n#find frequency of students from each grade\n<\/span>table(strat_sample$grade)\n\n Freshman Junior Senior Sophomore \n       15 15 15 15<\/strong><\/pre>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/span><\/strong><\/span><\/h3>\n
\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u65b9\u6cd5\u306e\u7a2e\u985e<\/a>
R \u3067\u306e\u30af\u30e9\u30b9\u30bf\u30fc \u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/a>
R \u3067\u306e\u4f53\u7cfb\u7684\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
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