{"id":2266,"date":"2023-07-23T00:20:55","date_gmt":"2023-07-23T00:20:55","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-plot-new-%e3%81%af%e3%81%be%e3%81%9f%e3%82%99%e5%91%bc%e3%81%b2%e3%82%99%e5%87%ba%e3%81%95%e3%82%8c%e3%81%a6%e3%81%84%e3%81%be%e3%81%9b%e3%82%93\/"},"modified":"2023-07-23T00:20:55","modified_gmt":"2023-07-23T00:20:55","slug":"r-plot-new-%e3%81%af%e3%81%be%e3%81%9f%e3%82%99%e5%91%bc%e3%81%b2%e3%82%99%e5%87%ba%e3%81%95%e3%82%8c%e3%81%a6%e3%81%84%e3%81%be%e3%81%9b%e3%82%93","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-plot-new-%e3%81%af%e3%81%be%e3%81%9f%e3%82%99%e5%91%bc%e3%81%b2%e3%82%99%e5%87%ba%e3%81%95%e3%82%8c%e3%81%a6%e3%81%84%e3%81%be%e3%81%9b%e3%82%93\/","title":{"rendered":"R \u3067\u306e\u4fee\u6b63\u65b9\u6cd5\uff1aplot.new \u306f\u307e\u3060\u547c\u3073\u51fa\u3055\u308c\u3066\u3044\u307e\u305b\u3093"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u3092\u4f7f\u7528\u3059\u308b\u3068\u304d\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>Error in plot.xy(xy.coords(x, y), type = type, ...): \n  plot.new has not been called yet\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30a8\u30e9\u30fc\u306f\u3001\u30d7\u30ed\u30c3\u30c8\u304c R \u306b\u3059\u3067\u306b\u5b58\u5728\u3057\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308b\u30a2\u30af\u30b7\u30e7\u30f3\u3092\u5b9f\u884c\u3057\u3088\u3046\u3068\u3057\u305f\u304c\u3001\u30d7\u30ed\u30c3\u30c8\u304c\u5b58\u5728\u3057\u306a\u3044\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u30a8\u30e9\u30fc\u3092\u5b9f\u969b\u306b\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: Lines() \u3092\u4f7f\u7528\u3057\u3066\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u3067\u8fd1\u4f3c\u56de\u5e30\u76f4\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#createdata\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n<span style=\"color: #008080;\">#fit polynomial regression model\n<\/span>model &lt;- lm(y~poly(x, 2), data=df)\n\n<span style=\"color: #008080;\">#define new sequence of x-values\n<\/span>new_x &lt;- seq(min(df$x), max(df$y))\n\n<span style=\"color: #008080;\">#attempt to plot fitted regression line\n<\/span>lines(new_x, predict(model, newdata = data. <span style=\"color: #3366ff;\">frame<\/span> (x=new_x))) \n\nError in plot.xy(xy.coords(x, y), type = type, ...): \n  plot.new has not been called yet<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306b R \u3067\u30d1\u30b9\u3092\u4f5c\u6210\u3057\u306a\u3044\u3068<strong>lines()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u306b\u306f\u3001\u307e\u305a\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3057\u3066\u304b\u3089\u3001 <strong>lines()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n<span style=\"color: #008080;\">#fit polynomial regression model\n<\/span>model &lt;- lm(y~poly(x, 2), data=df)\n\n<span style=\"color: #008080;\">#define new sequence of x-values\n<\/span>new_x &lt;- seq(min(df$x), max(df$y))\n\n<span style=\"color: #008080;\">#create scatterplot of x vs. y values\n<\/span>plot(y~x, data=df)\n\n<span style=\"color: #008080;\">#attempt to plot fitted regression line\n<\/span>lines(new_x, predict(model, newdata = data. <span style=\"color: #3366ff;\">frame<\/span> (x=new_x)))<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20681 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lignes11.png\" alt=\"\" width=\"468\" height=\"428\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>Lines()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u524d\u306b\u6700\u521d\u306b<strong>Lot()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u305f\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: abline() \u3067\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u3067\u6c34\u5e73\u306e\u76f4\u7dda\u3092\u6301\u3064\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n<span style=\"color: #008080;\">#attempt to add horizontal line at y=10\n<\/span>abline(a=10, b=0, lwd=2)\n\nError in plot.xy(xy.coords(x, y), type = type, ...):\n  plot.new has not been called yet\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306b R \u3067\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u306a\u3044\u3068<strong>abline()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u306b\u306f\u3001\u307e\u305a\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3057\u3001\u6b21\u306b<strong>abline()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#createdata\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n<span style=\"color: #008080;\">#create scatterplot of x vs. y<\/span>\nplot(y~x, data=df)\n\n<span style=\"color: #008080;\">#add horizontal line at y=10\n<\/span>abline(a=10, b=0, lwd=2)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20682 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lignes12.png\" alt=\"\" width=\"444\" height=\"407\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>abline()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u524d\u306b\u6700\u521d\u306b<strong>plot()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u305f\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ja\/r\u306e\u30a2\u30d5\u3099\u30e9\u30a4\u30f3\/\" target=\"_blank\" rel=\"noopener\">R \u3067 aline() \u3092\u4f7f\u7528\u3057\u3066\u30d1\u30b9\u306b\u76f4\u7dda\u3092\u8ffd\u52a0\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 \u306e\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/r-\u4e88\u671f\u3057\u306a\u3044\u6587\u5b57\u5217\u5b9a\u6570\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u306e\u4fee\u6b63\u65b9\u6cd5: \u4e88\u671f\u3057\u306a\u3044\u6587\u5b57\u5217\u5b9a\u6570<\/a><br \/>R \u3067\u306e\u4fee\u6b63\u65b9\u6cd5: ExtractVars \u306e\u7121\u52b9\u306a\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u5f0f<br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u5f15\u6570\u306f\u6570\u5024\u307e\u305f\u306f\u8ad6\u7406\u5024\u3066\u3099\u306f\u3042\u308a\u307e\u305b\u3093\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u4fee\u6b63\u3059\u308b\u65b9\u6cd5: \u5f15\u6570\u304c\u6570\u5024\u3067\u3082\u8ad6\u7406\u3067\u3082\u306a\u3044: na \u3092\u8fd4\u3059<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u3092\u4f7f\u7528\u3059\u308b\u3068\u304d\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 Error in plot.xy(xy.coords(x, y), type = type, &#8230;): plot.new has not been ca [&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-2266","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- 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