\u5e78\u8fd0\u7684\u662f\uff0cR \u53ef\u4ee5\u4f7f\u7528plot()<\/strong>\u51fd\u6570\u8f7b\u677e\u521b\u5efa\u70b9\u4e91\u3002\u4f8b\u5982\uff1a<\/span> <\/p>\n \u4f7f\u7528abline()<\/strong>\u51fd\u6570\u5411\u6563\u70b9\u56fe\u6dfb\u52a0\u56de\u5f52\u7ebf\u4e5f\u5f88\u5bb9\u6613\u3002<\/span><\/p>\n \u4f8b\u5982\uff1a<\/span> <\/p>\n \u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528Predict()<\/strong>\u51fd\u6570\u5c06\u7f6e\u4fe1\u533a\u95f4\u7ebf\u6dfb\u52a0\u5230\u56fe\u4e2d\uff1a<\/span> <\/p>\n \u6216\u8005\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5728Predict()<\/strong>\u51fd\u6570\u4e2d\u6307\u5b9a\u95f4\u9694\u7c7b\u578b\u6765\u5c06\u9884\u6d4b\u95f4\u9694\u7ebf\u6dfb\u52a0\u5230\u56fe\u4e2d\uff1a<\/span> <\/p>\n \u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6dfb\u52a0\u6807\u9898\u3001\u66f4\u6539\u8f74\u540d\u79f0\u548c\u66f4\u6539\u5404\u4e2a\u7ed8\u56fe\u70b9\u7684\u5f62\u72b6\u6765\u4f7f\u7ed8\u56fe\u66f4\u52a0\u7f8e\u89c2\u3002<\/span> <\/p>\n \u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n \u5982\u4f55\u5728 R \u4e2d\u7684\u6563\u70b9\u56fe\u4e0a\u6807\u8bb0\u70b9<\/a> \u901a\u5e38\uff0c\u5f53\u6211\u4eec\u6267\u884c\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u65f6\uff0c\u6211\u4eec\u5e0c\u671b\u521b\u5efa\u6563\u70b9\u56fe\u6765\u53ef\u89c6\u5316 x \u548c y \u503c\u7684\u4e0d\u540c\u7ec4\u5408\u3002 \u5e78\u8fd0\u7684\u662f\uff0cR \u53ef\u4ee5\u4f7f […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-685","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n #create some fake data<\/span>\ndata <- data.frame(x = c(1, 1, 2, 3, 4, 4, 5, 6, 7, 7, 8, 9, 10, 11, 11),\n y = c(13, 14, 17, 12, 23, 24, 25, 25, 24, 28, 32, 33, 35, 40, 41))\n\n#create scatterplot of data<\/span>\nplot(data$x, data$y)\n<\/strong><\/pre>\n![\"R](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression1.png\")
<\/p>\n #fit a simple linear regression model<\/span>\nmodel <- lm(y ~ x, data = data)\n\n#add the fitted regression line to the scatterplot<\/span>\nabline(model)<\/strong> <\/pre>\n![\"R](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression2.png\")
<\/p>\n #define range of x values<\/span>\nnewx = seq(min(data$x),max(data$x),by = 1)\n\n#find 95% confidence interval for the range of x values<\/span> \nconf_interval <- predict(model, newdata=data.frame(x=newx), interval=\"confidence\",\n level = 0.95)\n\n#create scatterplot of values with regression line<\/span>\nplot(data$x, data$y)\nabline(model)\n\n#add dashed lines (lty=2) for the 95% confidence interval<\/span>\nlines(newx, conf_interval[,2], col=\"blue\", lty=2)\nlines(newx, conf_interval[,3], col=\"blue\", lty=2)\n<\/strong><\/pre>\n![\"R](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression3.png\")
<\/p>\n #define range of x values<\/span>\nnewx = seq(min(data$x),max(data$x),by = 1)\n\n#find 95% prediction interval for the range of x values<\/span> \npred_interval <- predict(model, newdata=data.frame(x=newx), interval=\"prediction\"<\/span> ,\n level = 0.95)\n\n#create scatterplot of values with regression line<\/span>\nplot(data$x, data$y)\nabline(model)\n\n#add dashed lines (lty=2) for the 95% confidence interval<\/span>\nlines(newx, pred_interval[,2], col=\"red\", lty=2)\nlines(newx, pred_interval[,3], col=\"red\", lty=2)\n<\/strong><\/pre>\n![\"R](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression4.png\")
<\/p>\n plot(data$x, data$y,\n main = \"Scatterplot of x vs. y\", #add title<\/span>\n pch=16, #specify points to be filled in<\/span>\n xlab='x', #change x-axis name\n<\/span>ylab='y') #change y-axis name<\/span>\n\nabline(model, col='steelblue') #specify color of regression line<\/span><\/span>\n<\/strong><\/pre>\n![\"R\u4e2d\u6563\u70b9\u56fe\u7684\u56de\u5f52\u7ebf\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression5.png\")
<\/p>\n\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u5982\u4f55\u4f7f\u7528R\u4e2d\u7684Jitter\u51fd\u6570\u5904\u7406\u70b9\u4e91<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"