{"id":2087,"date":"2023-07-23T18:03:32","date_gmt":"2023-07-23T18:03:32","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e8%a6%81%e7%b4%84%e9%96%a2%e6%95%b0\/"},"modified":"2023-07-23T18:03:32","modified_gmt":"2023-07-23T18:03:32","slug":"r%e3%81%ae%e8%a6%81%e7%b4%84%e9%96%a2%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e8%a6%81%e7%b4%84%e9%96%a2%e6%95%b0\/","title":{"rendered":"R \u3067 summary() \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u306e<strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001R \u306e\u30d9\u30af\u30c8\u30eb\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u3001\u307e\u305f\u306f ANOVA \u30e2\u30c7\u30eb\u306e\u5024\u3092\u3059\u3070\u3084\u304f\u8981\u7d04\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u69cb\u6587\u3067\u306f\u3001\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>summary(data)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: Vector \u3067\u306e summary() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u5024\u3092\u30d9\u30af\u30c8\u30eb\u306b\u8981\u7d04\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#definevector\n<\/span>x &lt;- c(3, 4, 4, 5, 7, 8, 9, 12, 13, 13, 15, 19, 21)\n\n<span style=\"color: #008080;\">#summarize values in vector\n<\/span>summary(x)\n\n   Min. 1st Qu. Median Mean 3rd Qu. Max. \n   3.00 5.00 9.00 10.23 13.00 21.00 \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>summary()<\/strong>\u95a2\u6570\u306f\u3001\u30d9\u30af\u30c8\u30eb\u306e\u6b21\u306e\u6982\u8981\u7d71\u8a08\u3092\u81ea\u52d5\u7684\u306b\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Min: \u6700\u5c0f\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\">1st Qu: \u7b2c 1 \u56db\u5206\u4f4d\u6570 (25 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb) \u306e\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4e2d\u592e\u5024: \u4e2d\u592e\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\">3rd Qu: \u7b2c 3 \u56db\u5206\u4f4d\u6570 (75 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb) \u306e\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\">Max: \u6700\u5927\u5024<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u30d9\u30af\u30c8\u30eb\u306b\u6b20\u640d\u5024 (NA) \u304c\u3042\u308b\u5834\u5408\u3001\u8981\u7d04\u7d71\u8a08\u91cf\u3092\u8a08\u7b97\u3059\u308b\u3068\u304d\u306b<strong>summary()<\/strong>\u95a2\u6570\u304c\u305d\u308c\u3089\u3092\u81ea\u52d5\u7684\u306b\u9664\u5916\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#definevector\n<\/span>x &lt;- c(3, 4, 4, 5, 7, 8, 9, 12, 13, 13, 15, 19, 21, NA, NA)\n\n<span style=\"color: #008080;\">#summarize values in vector\n<\/span>summary(x)\n\n   Min. 1st Qu. Median Mean 3rd Qu. Max. NA's \n   3.00 5.00 9.00 10.23 13.00 21.00 2<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3067\u306e summary() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5404\u5217\u3092\u8981\u7d04\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                 points=c(99, 90, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28))\n\n<span style=\"color: #008080;\">#summarize every column in data frame\n<\/span>summary(df)\n\n     team points assists rebounds   \n Length:5 Min. :86.0 Min. :28 Min. :24.0  \n Class:character 1st Qu.:88.0 1st Qu.:31 1st Qu.:24.0  \n Mode:character Median:90.0 Median:33 Median:28.0  \n                    Mean:91.6 Mean:33 Mean:26.8  \n                    3rd Qu.:95.0 3rd Qu.:34 3rd Qu.:28.0  \n                    Max. :99.0 Max. :39 Max. :30.0 \n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: \u7279\u5b9a\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5217\u3067\u306e summary() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u7279\u5b9a\u306e\u5217\u3092\u8981\u7d04\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                 points=c(99, 90, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28))\n\n<span style=\"color: #008080;\">#summarize every column in data frame\n<\/span>summary(df[c(' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ')])\n\n     rebound points   \n Min. :86.0 Min. :24.0  \n 1st Qu.:88.0 1st Qu.:24.0  \n Median:90.0 Median:28.0  \n Mean:91.6 Mean:26.8  \n 3rd Qu.:95.0 3rd Qu.:28.0  \n Max. :99.0 Max. :30.0<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 4: \u56de\u5e30\u30e2\u30c7\u30eb\u3067\u306e summary() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u7d50\u679c\u3092\u8981\u7d04\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (y=c(99, 90, 86, 88, 95, 99, 91),\n                 x=c(33, 28, 31, 39, 34, 35, 36))\n\n<span style=\"color: #008080;\">#fit linear regression model\n<\/span>model &lt;- lm(y~x, data=df)\n\n<span style=\"color: #008080;\">#summarize model fit\n<\/span>summary(model)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nResiduals:\n     1 2 3 4 5 6 7 \n 6,515 -1,879 -6,242 -5,212 2,394 6,273 -1,848 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)  \n(Intercept) 88.4848 22.1050 4.003 0.0103 *\nx 0.1212 0.6526 0.186 0.8599  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 5.668 on 5 degrees of freedom\nMultiple R-squared: 0.006853, Adjusted R-squared: -0.1918 \nF-statistic: 0.0345 on 1 and 5 DF, p-value: 0.8599\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u56de\u5e30\u51fa\u529b\u3092\u89e3\u91c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u56de\u5e30\u51fa\u529b\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 5: ANOVA \u30e2\u30c7\u30eb\u3067\u306e summary() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 R \u306e ANOVA \u30e2\u30c7\u30eb\u306e\u7d50\u679c\u3092\u8981\u7d04\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>data &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (program = <span style=\"color: #3366ff;\">rep<\/span> (c(\"A\", \"B\", \"C\"), <span style=\"color: #3366ff;\">each<\/span> = <span style=\"color: #008000;\">30<\/span> ),\n                   weight_loss = c(runif(30, 0, 3),\n                                   runif(30, 0, 5),\n                                   runif(30, 1, 7)))\n\n<span style=\"color: #008080;\">#fit ANOVA model\n<\/span>model &lt;- aov(weight_loss ~ program, data = data)\n\n<span style=\"color: #008080;\">#summarize model fit\n<\/span>summary(model)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)    \nprogram 2 98.93 49.46 30.83 7.55e-11 ***\nResiduals 87 139.57 1.60                     \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099\u306e-lanova-\u306e\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">R \u3067 ANOVA \u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u306e\u6982\u8981\u7d71\u8a08\u306e\u8a08\u7b97\u306b\u95a2\u3059\u308b\u8a73\u7d30\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/r-\u306b\u307e\u3068\u3081\u3089\u308c\u305f-5-\u3064\u306e\u6570\u5b57\/\" target=\"_blank\" rel=\"noopener\">R \u3067 5 \u3064\u306e\u6570\u5024\u306e\u8981\u7d04\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u8981\u7d04\u30c6\u30fc\u30d5\u3099\u30eb\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u96c6\u8a08\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u76f8\u5bfe\u5ea6\u6570\u8868\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u76f8\u5bfe\u5ea6\u6570\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u306esummary()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001R \u306e\u30d9\u30af\u30c8\u30eb\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u3001\u307e\u305f\u306f ANOVA \u30e2\u30c7\u30eb\u306e\u5024\u3092\u3059\u3070\u3084\u304f\u8981\u7d04\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u69cb\u6587\u3067\u306f\u3001\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 summary(data [&hellip;]<\/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-2087","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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