{"id":502,"date":"2023-07-29T16:45:15","date_gmt":"2023-07-29T16:45:15","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%88%86%e6%95%a3%e3%82%a4%e3%83%b3%e3%83%95%e3%83%ac%e4%bf%82%e6%95%b0-r\/"},"modified":"2023-07-29T16:45:15","modified_gmt":"2023-07-29T16:45:15","slug":"%e5%88%86%e6%95%a3%e3%82%a4%e3%83%b3%e3%83%95%e3%83%ac%e4%bf%82%e6%95%b0-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%88%86%e6%95%a3%e3%82%a4%e3%83%b3%e3%83%95%e3%83%ac%e4%bf%82%e6%95%b0-r\/","title":{"rendered":"R \u3067\u5206\u6563\u81a8\u5f35\u4fc2\u6570 (vif) \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u56de\u5e30\u5206\u6790\u306b\u304a\u3051\u308b<a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u591a\u91cd\u5171\u7dda\u6027\u306f<\/a>\u30012 \u3064\u4ee5\u4e0a\u306e\u4e88\u6e2c\u5909\u6570\u304c\u76f8\u4e92\u306b\u9ad8\u5ea6\u306b\u76f8\u95a2\u3057\u3066\u304a\u308a\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u5185\u3067\u56fa\u6709\u307e\u305f\u306f\u72ec\u7acb\u3057\u305f\u60c5\u5831\u3092\u63d0\u4f9b\u3057\u306a\u3044\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u9593\u306e\u76f8\u95a2\u5ea6\u304c\u5341\u5206\u306b\u9ad8\u3044\u5834\u5408\u3001<a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3068\u89e3\u91c8\u306e<\/a>\u969b\u306b\u554f\u984c\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u591a\u91cd\u5171\u7dda\u6027\u3092\u691c\u51fa\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u5185\u306e\u4e88\u6e2c\u5909\u6570\u9593\u306e <a href=\"https:\/\/statorials.org\/ja\/\u30d2\u309a\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570-1\/\" target=\"_blank\" rel=\"noopener\">\u76f8\u95a2<\/a>\u3068\u76f8\u95a2\u306e\u5f37\u3055\u3092\u6e2c\u5b9a\u3059\u308b\u5206\u6563\u81a8\u5f35\u4fc2\u6570 (VIF) \u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">VIF \u5024\u306f 1 \u304b\u3089\u59cb\u307e\u308a\u3001\u4e0a\u9650\u306f\u3042\u308a\u307e\u305b\u3093\u3002 VIF \u3092\u89e3\u91c8\u3059\u308b\u305f\u3081\u306e\u4e00\u822c\u7684\u306a\u30eb\u30fc\u30eb\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5024 1 \u306f\u3001\u30e2\u30c7\u30eb\u5185\u306e\u7279\u5b9a\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3068\u4ed6\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306e\u9593\u306b\u76f8\u95a2\u304c\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 \uff5e 5 \u306e\u5024\u306f\u3001\u30e2\u30c7\u30eb\u5185\u306e\u7279\u5b9a\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3068\u4ed6\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306e\u9593\u306b\u4e2d\u7a0b\u5ea6\u306e\u76f8\u95a2\u95a2\u4fc2\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u304c\u3001\u591a\u304f\u306e\u5834\u5408\u3001\u7279\u5225\u306a\u6ce8\u610f\u3092\u5fc5\u8981\u3068\u3059\u308b\u307b\u3069\u6df1\u523b\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">5 \u3088\u308a\u5927\u304d\u3044\u5024\u306f\u3001\u30e2\u30c7\u30eb\u5185\u306e\u7279\u5b9a\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3068\u4ed6\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306e\u9593\u306b\u91cd\u5927\u306a\u76f8\u95a2\u95a2\u4fc2\u304c\u3042\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u3001\u56de\u5e30\u7d50\u679c\u306e\u4fc2\u6570\u63a8\u5b9a\u5024\u3068 p \u5024\u306f\u4fe1\u983c\u3067\u304d\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u9ad8\u3044 VIF \u5024\u3092<a href=\"https:\/\/statisticalhorizons.com\/multicollinearity\" target=\"_blank\" rel=\"noopener\">\u7121\u8996\u3057\u3066\u3082\u5b89\u5168\u306a<\/a>\u5834\u5408\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>R\u3067VIF\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u3067\u56de\u5e30\u30e2\u30c7\u30eb\u306e VIF \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u3001\u7d44\u307f\u8fbc\u307f\u306e<em>mtcars<\/em>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six lines of <em>mtcars<\/em><\/span>\nhead(mtcars)\n\n# mpg cyl disp hp drat wt qsec vs am gear carb\n#Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\n#Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\n#Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\n#Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\n#Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\n#Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u307e\u305a\u3001\u5fdc\u7b54\u5909\u6570\u3068\u3057\u3066<em>mpg \u3092<\/em>\u3001\u4e88\u6e2c\u5909\u6570\u3068\u3057\u3066<em>disp<\/em> \u3001 <em>hp<\/em> \u3001 <em>wt \u3001<\/em>\u304a\u3088\u3073<em>drat<\/em>\u3092\u4f7f\u7528\u3057\u3066\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the regression model<\/span>\nmodel &lt;- lm(mpg ~ disp + hp + wt + drat, data = mtcars)\n\n<span style=\"color: #008080;\">#view the output of the regression model\n<\/span>summary(model)\n\n#Call:\n#lm(formula = mpg ~ disp + hp + wt + drat, data = mtcars)\n#\n#Residuals:\n# Min 1Q Median 3Q Max \n#-3.5077 -1.9052 -0.5057 0.9821 5.6883 \n#\n#Coefficients:\n#Estimate Std. Error t value Pr(&gt;|t|)    \n#(Intercept) 29.148738 6.293588 4.631 8.2e-05 ***\n#available 0.003815 0.010805 0.353 0.72675    \n#hp -0.034784 0.011597 -2.999 0.00576 ** \n#wt -3.479668 1.078371 -3.227 0.00327 ** \n#drat 1.768049 1.319779 1.340 0.19153    \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n#\n#Residual standard error: 2.602 on 27 degrees of freedom\n#Multiple R-squared: 0.8376, Adjusted R-squared: 0.8136 \n#F-statistic: 34.82 on 4 and 27 DF, p-value: 2.704e-10\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u3001\u30e2\u30c7\u30eb\u306e<a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">R \u4e8c\u4e57\u5024\u306f<\/a><strong>0.8376<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u307e\u305f<a href=\"https:\/\/statorials.org\/ja\/\u56de\u5e30\u306b\u304a\u3051\u308b\u5168\u4f53\u7684\u306a\u6709\u610f\u6027\u306e-f-\u691c\u5b9a\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306e\u7c21\u5358\u306a\u30ab\u3099\u30a4\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener\">\u3001\u5168\u4f53\u7684\u306a F \u7d71\u8a08\u91cf<\/a>\u304c<strong>34.82<\/strong>\u3067\u3001\u5bfe\u5fdc\u3059\u308b p \u5024\u304c<strong>2.704e-10<\/strong>\u3067\u3042\u308b\u3053\u3068\u3082\u308f\u304b\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u5168\u4f53\u7684\u306a\u56de\u5e30\u30e2\u30c7\u30eb\u304c\u6709\u610f\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u3001<\/span><span style=\"color: #000000;\">\u4e88\u6e2c\u5909\u6570<em>hp<\/em>\u3068<em>wt \u306f<\/em>\u6709\u610f\u6c34\u6e96 0.05 \u3067\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u3059\u304c\u3001 <em>disp<\/em>\u3068<em>drat \u306f<\/em>\u6709\u610f\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<strong>vive()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30e2\u30c7\u30eb\u5185\u306e\u5404\u4e88\u6e2c\u5b50\u5909\u6570\u306e VIF \u3092\u8a08\u7b97\u3057<strong>\u307e\u3059<\/strong>\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load the <em>car<\/em> library<\/span>\nlibrary(car)\n\n<span style=\"color: #008080;\">#calculate the VIF for each predictor variable in the model\n<\/span>lively(model)\n\n# disp hp wt drat \n#8.209402 2.894373 5.096601 2.279547 \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>disp<\/em>\u3068<em>wt<\/em>\u306e VIF \u304c 5 \u3088\u308a\u5927\u304d\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u304c\u3001\u3053\u308c\u306f\u6f5c\u5728\u7684\u306b\u61f8\u5ff5\u4e8b\u9805\u3067\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>VIF \u5024\u306e\u8868\u793a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5404\u4e88\u6e2c\u5909\u6570\u306e VIF \u5024\u3092\u8996\u899a\u5316\u3059\u308b\u306b\u306f\u3001\u5358\u7d14\u306a\u6c34\u5e73\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u30015 \u306e\u4f4d\u7f6e\u306b\u5782\u76f4\u7dda\u3092\u8ffd\u52a0\u3057\u3066\u3001\u3069\u306e VIF \u5024\u304c 5 \u3092\u8d85\u3048\u3066\u3044\u308b\u304b\u3092\u660e\u78ba\u306b\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector of VIF values<\/span>\nvive_values &lt;- vive(model)\n\n<span style=\"color: #008080;\">#create horizontal bar chart to display each VIF value\n<\/span>barplot(vif_values, main = \"VIF Values\", horiz = TRUE, col = \"steelblue\")\n\n<span style=\"color: #008080;\">#add vertical line at 5\n<\/span>abline(v = 5, lwd = 3, lty = 2)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30bf\u30a4\u30d7\u306e\u30c1\u30e3\u30fc\u30c8\u306f\u3001\u591a\u304f\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3092\u6301\u3064\u30e2\u30c7\u30eb\u306b\u6700\u3082\u5f79\u7acb\u3064\u305f\u3081\u3001\u3059\u3079\u3066\u306e VIF \u5024\u3092\u4e00\u5ea6\u306b\u7c21\u5358\u306b\u8868\u793a\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u305f\u3060\u3057\u3001\u3053\u306e\u4f8b\u3067\u306f\u4fbf\u5229\u306a\u30c1\u30e3\u30fc\u30c8\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3069\u306e VIF \u5024\u304c\u9ad8\u3059\u304e\u3066\u30e2\u30c7\u30eb\u306b\u542b\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u3044\u3068\u8003\u3048\u308b\u304b\u306b\u5fdc\u3058\u3066\u3001\u7279\u5b9a\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3092\u524a\u9664\u3057\u3001\u30e2\u30c7\u30eb\u306e\u5bfe\u5fdc\u3059\u308b<a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">R \u4e8c\u4e57\u5024<\/a>\u307e\u305f\u306f<a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u6a19\u6e96\u8aa4\u5dee<\/a>\u304c\u5f71\u97ff\u3092\u53d7\u3051\u308b\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4e88\u6e2c\u5909\u6570\u9593\u306e\u76f8\u95a2\u95a2\u4fc2\u306e\u8996\u899a\u5316<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e88\u6e2c\u5b50\u5909\u6570\u306e VIF \u5024\u304c\u9ad8\u3044\u7406\u7531\u3092\u3088\u308a\u6df1\u304f\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3057\u3066\u3001\u5909\u6570\u306e\u5404\u30da\u30a2\u9593\u306e\u7dda\u5f62\u76f8\u95a2\u4fc2\u6570\u3092\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define the variables we want to include in the correlation matrix<\/span>\ndata &lt;- mtcars[, c(\"disp\", \"hp\", \"wt\", \"drat\")]\n\n<span style=\"color: #008080;\">#create correlation matrix<\/span>\ncor(data)\n\n# disp hp wt drat\n#available 1.0000000 0.7909486 0.8879799 -0.7102139\n#hp 0.7909486 1.0000000 0.6587479 -0.4487591\n#wt 0.8879799 0.6587479 1.0000000 -0.7124406\n#drat -0.7102139 -0.4487591 -0.7124406 1.0000000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>disp<\/em>\u5909\u6570\u306e VIF \u5024\u304c 8 \u3092\u8d85\u3048\u3066\u3044\u305f\u3053\u3068\u3092\u601d\u3044\u51fa\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3053\u308c\u306f\u3001\u30e2\u30c7\u30eb\u5185\u306e\u3059\u3079\u3066\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u306e\u4e2d\u3067\u6700\u3082\u9ad8\u3044 VIF \u5024\u3067\u3057\u305f\u3002\u76f8\u95a2\u884c\u5217\u304b\u3089\u3001 <em>disp \u304c<\/em>\u4ed6\u306e 3 \u3064\u306e\u4e88\u6e2c\u5b50\u5909\u6570\u3068\u9ad8\u3044\u76f8\u95a2\u95a2\u4fc2\u306b\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u3001\u3053\u308c\u304c VIF \u5024\u304c\u975e\u5e38\u306b\u9ad8\u3044\u7406\u7531\u3092\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u5834\u5408\u3001VIF \u5024\u304c\u9ad8\u304f<em>\u3001<\/em>\u6709\u610f\u6c34\u6e96 0.05 \u3067\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u306f\u306a\u3044\u305f\u3081\u3001\u30e2\u30c7\u30eb\u304b\u3089<em>disp<\/em>\u3092\u524a\u9664\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u76f8\u95a2\u884c\u5217\u3068 VIF \u306f\u540c\u69d8\u306e\u60c5\u5831\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3069\u3061\u3089\u3082\u3001\u3042\u308b\u5909\u6570\u304c\u56de\u5e30\u30e2\u30c7\u30eb\u5185\u306e 1 \u3064\u4ee5\u4e0a\u306e\u4ed6\u306e\u5909\u6570\u3068\u9ad8\u3044\u76f8\u95a2\u95a2\u4fc2\u306b\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><strong><span style=\"color: #000000;\">\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><br \/><strong><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u56de\u5e30\u306b\u304a\u3051\u308b\u591a\u91cd\u5171\u7dda\u6027\u3068 VIF \u306e\u30ac\u30a4\u30c9<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u9069\u5207\u306a R \u4e8c\u4e57\u5024\u306f\u3069\u308c\u304f\u3089\u3044\u3067\u3059\u304b?<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u56de\u5e30\u5206\u6790\u306b\u304a\u3051\u308b\u591a\u91cd\u5171\u7dda\u6027\u306f\u30012 \u3064\u4ee5\u4e0a\u306e\u4e88\u6e2c\u5909\u6570\u304c\u76f8\u4e92\u306b\u9ad8\u5ea6\u306b\u76f8\u95a2\u3057\u3066\u304a\u308a\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u5185\u3067\u56fa\u6709\u307e\u305f\u306f\u72ec\u7acb\u3057\u305f\u60c5\u5831\u3092\u63d0\u4f9b\u3057\u306a\u3044\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002 \u5909\u6570\u9593\u306e\u76f8\u95a2\u5ea6\u304c\u5341\u5206\u306b\u9ad8\u3044\u5834\u5408\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3068\u89e3\u91c8\u306e\u969b\u306b\u554f\u984c [&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-502","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u3067\u5206\u6563\u30a4\u30f3\u30d5\u30ec\u7387 (VIF) \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 - Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u591a\u91cd\u5171\u7dda\u6027\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u30e1\u30c8\u30ea\u30af\u30b9\u3067\u3042\u308b VIF \u3092 R \u3067\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" 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