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class=\"topic\">\n\u6536\u5f55\u4e8e\u8bdd\u9898<\/p>\n<a href=\"https:\/\/mp.weixin.qq.com\/mp\/appmsgalbum?__biz=Mzg3OTg3MjQyNg==&action=getalbum&album_id=2812010014583390210#wechat_redirect\" title=\"R\u4ee3\u7801\" target=\"_blank\" rel=\"noopener\">#R\u4ee3\u7801<\/a><a href=\"https:\/\/mp.weixin.qq.com\/mp\/appmsgalbum?__biz=Mzg3OTg3MjQyNg==&action=getalbum&album_id=2664545260517294084#wechat_redirect\" title=\"\u751f\u4fe1\u5b9e\u64cd\" target=\"_blank\" rel=\"noopener\">#\u751f\u4fe1\u5b9e\u64cd<\/a><\/p>\n<\/div>\n<img decoding=\"async\" class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.23333333333333334\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/1_rE2v0O5WiaUDJjgv5bxK2G1ePHyH2g-22.jpg\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/zcicibWZessAysHY49vPGCraibakiaNq6hQgn8C5MfvVLQGxlNZPEia2PajKAzrE2v0O5WiaUDJjgv5bxK2G1ePHyH2g\/640?wx_fmt=jpeg'\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" \/><\/p>\n\u5728\u751f\u4fe1\u7814\u7a76\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5206\u4e3a\u4e24\u5927\u65b9\u5411\uff0c\u4e00\u4e2a\u662f\u5bf9\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\uff0c\u4e00\u4e2a\u662f\u4e3a\u7edf\u8ba1\u5206\u6790\u521b\u5efa\u5de5\u5177\uff0c\u4e5f\u5c31\u662f\u6a21\u578b\u7b97\u6cd5\u7684\u7814\u53d1\u548c\u6784\u5efa\u3002\u6253\u4e2a\u6bd4\u65b9\uff1a\u5728\u75be\u75c5\u9884\u6d4b\u7684\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u56de\u60f3\u8ba8\u8bba\u67d0\u4e2a\u56e0\u7d20\u4e0e\u81f4\u6b7b\u7387\u76f8\u5173\u6027\u6709\u591a\u5c11\uff0c\u662f\u4e00\u4e2a\u56de\u5f52\u95ee\u9898\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u4f1a\u7528\u5230\u6a21\u578b\u8fdb\u884c\u62df\u5408\uff1b\u5728\u8f6c\u5f55\u7ec4\u7684\u5206\u6790\u4e2d\uff0c\u805a\u7c7b\u662f\u4e00\u4e2a\u91cd\u70b9\uff0c\u805a\u7c7b\u5219\u4e3a\u4e00\u4e2a\u5206\u7c7b\u95ee\u9898\uff0c\u9700\u8981\u7528\u5230\u5206\u7c7b\u6a21\u578b\u3002\u5728\u5927\u591a\u6570\u5c0f\u4f19\u4f34\u7684\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u90fd\u662f\u5de5\u5177\u7684\u4f7f\u7528\u8005\uff0c\u4e0d\u77e5\u9053\u6709\u6ca1\u6709\u5bf9\u521b\u9020\u5de5\u5177\u6709\u5174\u8da3\u7684\u5c0f\u4f19\u4f34\u5440\uff1f\u4eca\u5929\u5c0f\u679c\u60f3\u4e3a\u5927\u5bb6\u4ecb\u7ecd\u4e00\u4e2a\u6574\u5408\u6027\u8d28\u7684R\u5305\uff0c\u9009\u62e9\u4e86tidyverse\u7684\u601d\u8def\uff0c\u8fd9\u4e2aR\u5305\u5c31\u662ftidymodels\uff01\u4eca\u5929\u5c0f\u679c\u60f3\u5e26\u7740\u5927\u5bb6\u5148\u6709\u4e00\u4e2a\u7b80\u5355\u7684\u8ba4\u8bc6\uff0c\u548c\u5927\u5bb6\u4e00\u8d77\u6765\u5efa\u7acb\u4e00\u4e2a\u6a21\u578b\u5427\u3002 <\/span><\/p>\n<h1>step0 \u5b89\u88c5\u4e0e\u8f7d\u5165R\u5305<\/span><\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"php\"><code>if<\/span>(!require<\/span>(tidymodels)) install.packages(\"tidymodels\"<\/span>) <\/span><\/code><code>if<\/span>(!require<\/span>(broom.mixed)) install.packages(\"broom.mixed\"<\/span>) <\/span><\/code><code>if<\/span>(!require<\/span>(dotwhisker)) install.packages(\"dotwhisker\"<\/span>) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>library(tidymodels) <\/span><\/code><code>library(readr) # \u8f93\u5165\u6570\u636e <\/span><\/span><\/code><code>library(broom.mixed) # \u5c06\u8d1d\u53f6\u65af\u6a21\u578b\u8f6c\u6362\u4e3atibbles\u7c7b\u578b <\/span><\/span><\/code><code>library(dotwhisker) # \u7528\u4e8e\u53ef\u89c6\u5316\u56de\u5f52\u7ed3\u679c<\/span><\/span><\/code><\/pre>\n<\/section>\n<h1>step1 \u6570\u636e\u51c6\u5907<\/span> \n <\/span><\/h1>\n\u9996\u5148\uff0c\u8ba9\u6211\u4eec\u5c06\u6d77\u80c6\u6570\u636e\u8bfb\u5165 R\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u63d0\u4f9breadr::read_csv()CSV \u6570\u636e\u6240\u5728\u7684 url \u6765\u5b8c\u6210\u6b64\u64cd\u4f5c\uff08\u201c <\/span>https:\/\/tidymodels.org\/start\/models\/urchins.csv<\/span> \u201d\uff09\u3002<\/span>\u5728\u8fdb\u884c\u5efa\u6a21\u65f6\uff0c\u5bf9\u6570\u636e\u6709\u524d\u6cbf\u8ba4\u8bc6\u4e5f\u662f\u5341\u5206\u91cd\u8981\u7684\u54e6\uff01\u8fd9\u7ec4\u6d77\u80c6\u7684\u6570\u636e\u63a2\u7d22\u4e86\u4e09\u79cd\u4e0d\u540c\u7684\u5582\u517b\u65b9\u5f0f\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u5f71\u54cd\u6d77\u80c6\u7684\u5927\u5c0f\u3002\u5b9e\u9a8c\u5f00\u59cb\u65f6\u6d77\u80c6\u7684\u521d\u59cb\u5927\u5c0f\u53ef\u80fd\u4f1a\u5f71\u54cd\u5b83\u4eec\u5728\u8fdb\u98df\u65f6\u7684\u751f\u957f\u5927\u5c0f\u3002<\/span>food_regime\uff1a\u5b9e\u9a8c\u5582\u517b\u65b9\u6848 initial_volume\uff1a\u521d\u59cb\u5927\u5c0f width\uff1a\u5bbd\u5ea6<\/span> <\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"swift\"><code>urchins <- <\/span><\/code><code> read_csv(\"https:\/\/tidymodels.org\/start\/models\/urchins.csv\"<\/span>) %>% <\/span><\/code><code> setNames(c<\/span>(\"food_regime\"<\/span>, \"initial_volume\"<\/span>, \"width\"<\/span>)) %>% <\/span><\/code><code> mutate(food_regime =factor(food_regime, levels =c<\/span>(\"Initial\"<\/span>, \"Low\"<\/span>, \"High\"<\/span>))) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>urchins<\/span><\/code><\/pre>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>#<\/span># # A tibble: 72 \u00d7 3 <\/span><\/span><\/code><code>#<\/span># food_regime initial_volume width <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 Initial 3.5 0.01 <\/span><\/span><\/code><code>#<\/span># 2 Initial 5 0.02 <\/span><\/span><\/code><code>#<\/span># 3 Initial 8 0.061 <\/span><\/span><\/code><code>#<\/span># 4 Initial 10 0.051 <\/span><\/span><\/code><code>#<\/span># 5 Initial 13 0.041 <\/span><\/span><\/code><code>#<\/span># 6 Initial 13 0.061 <\/span><\/span><\/code><code>#<\/span># 7 Initial 15 0.041 <\/span><\/span><\/code><code>#<\/span># 8 Initial 15 0.071 <\/span><\/span><\/code><code>#<\/span># 9 Initial 16 0.092 <\/span><\/span><\/code><code>#<\/span># 10 Initial 17 0.051 <\/span><\/span><\/code><code>#<\/span># # \u2139 62 more rows<\/span><\/span><\/code><\/pre>\n<\/section>\n\u6211\u4eec\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u4e0b\u53ef\u89c6\u5316\uff0c\u4e86\u89e3\u4e00\u4e0b\u6570\u636e\u7684\u5177\u4f53\u5206\u5e03\u3002\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u5b9e\u9a8c\u5582\u517b\u65b9\u5f0f\u7684\u6539\u53d8\u4ee5\u53ca\u521d\u59cb\u7684\u4f53\u79ef\u5747\u4f1a\u5f71\u54cd\u6d77\u80c6\u7684\u5bbd\u5ea6\u3002<\/span><\/p>\n<h1 style=\"letter-spacing: 0.578px;text-wrap: wrap;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-galleryid=\"\" data-imgfileid=\"100012187\" data-ratio=\"0.38981481481481484\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/2_IWicymEetCc6Enf2BkUE4Yz1Ya5e5w-17.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAyuYsqlJnQUJvnS2iciaDibtfbdV0VmHlriaSjYwjFPLp1BLjokHIWicymEetCc6Enf2BkUE4Yz1Ya5e5w\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"letter-spacing: 0.578px;text-align: center;\" \/><\/span><\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"properties\"><code>ggplot(urchins,<\/span> <\/span><\/span><\/code><code> aes(x<\/span> = initial_volume, <\/span><\/span><\/code><code> y<\/span> = width, <\/span><\/span><\/code><code> group<\/span> = food_regime, <\/span><\/span><\/code><code> col<\/span> = food_regime)) + <\/span><\/span><\/code><code> geom_point()<\/span> + <\/span><\/span><\/code><code> geom_smooth(method<\/span> = lm, se =FALSE) + <\/span><\/span><\/code><code> scale_color_viridis_d(option<\/span> =\"plasma\", end = .7)<\/span><\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/3_KTicU1FrDOYiamwI4bNweBoXTTAc8Q.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6d3NjC1oyIIHz3jgvl7e8ic5LqL3KTicU1FrDOYiamwI4bNweBoXTTAc8Q\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n<h1>step2 \u6784\u5efa\u6a21\u578b<\/span> \n <\/span><\/h1>\n\u90a3\u4e48\u6211\u4eec\u5bf9\u4e8e\u8fd9\u4e2a\u6570\u636e\uff0c\u5728\u56de\u5f52\u4e0e\u5206\u7c7b\u4e24\u4e2a\u4e2d\u8fdb\u884c\u9009\u62e9\uff0c\u6211\u4eec\u5e94\u8be5\u9009\u62e9\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u8fdb\u884c\u62df\u5408\u5206\u6790\u3002<\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>#<\/span> \u5728\u8fd9\u5c0f\u679c\u9009\u62e9\u4e86parsnip\u5305\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b <\/span><\/code><code>linear_reg() # \u9ed8\u8ba4\u6a21\u578b\u4f7f\u7528\u7684\u662f\u6700\u5c0f\u4e8c\u4e58\u6cd5<\/span><\/code><code>#<\/span># Linear Regression Model Specification (regression) <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Computational engine: lm<\/span><\/span><\/code><code>#<\/span> \u4fdd\u5b58\u6a21\u578b <\/span><\/code><code>lm_mod <-linear_reg() <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>#<\/span> \u4f7f\u7528fit\u51fd\u6570\u4f30\u8ba1\u6216\u8bad\u7ec3\u6a21\u578b <\/span><\/code><code>lm_fit <- <\/span><\/code><code> lm_mod %>% <\/span><\/code><code> fit(width ~ initial_volume * food_regime, data = urchins) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>lm_fit <\/span><\/code><code>#<\/span># parsnip model object <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Call: <\/span><\/span><\/code><code>#<\/span># stats::lm(formula = width ~ initial_volume * food_regime, data = data) <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Coefficients: <\/span><\/span><\/code><code>#<\/span># (Intercept) initial_volume <\/span><\/span><\/code><code>#<\/span># 0.0331216 0.0015546 <\/span><\/span><\/code><code>#<\/span># food_regimeLow food_regimeHigh <\/span><\/span><\/code><code>#<\/span># 0.0197824 0.0214111 <\/span><\/span><\/code><code>#<\/span># initial_volume:food_regimeLow initial_volume:food_regimeHigh <\/span><\/span><\/code><code>#<\/span># -0.0012594 0.0005254<\/span><\/span><\/code><code>#<\/span> \u8bb8\u591a\u6a21\u578b\u90fd\u6709 tidy\u51fd\u6570\uff0c\u533a\u522b\u4e8esummary\u51fd\u6570\uff0c\u4ee5\u4e00\u79cd\u66f4\u53ef\u9884\u6d4b\u548c\u66f4\u6709\u7528\u7684\u683c\u5f0f\u63d0\u4f9b\u6458\u8981\u7ed3\u679c\u54e6\uff01\uff08\u4f8b\u5982\u5177\u6709\u6807\u51c6\u5217\u540d\u79f0\u7684\u6570\u636e\u6846\uff09 <\/span><\/code><code>tidy(lm_fit)<\/span><\/code><code>#<\/span># # A tibble: 6 \u00d7 5 <\/span><\/span><\/code><code>#<\/span># term estimate std.error statistic p.value <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 (Intercept) 0.0331 0.00962 3.44 0.00100 <\/span><\/span><\/code><code>#<\/span># 2 initial_volume 0.00155 0.000398 3.91 0.000222 <\/span><\/span><\/code><code>#<\/span># 3 food_regimeLow 0.0198 0.0130 1.52 0.133 <\/span><\/span><\/code><code>#<\/span># 4 food_regimeHigh 0.0214 0.0145 1.47 0.145 <\/span><\/span><\/code><code>#<\/span># 5 initial_volume:food_regimeLow -0.00126 0.000510 -2.47 0.0162 <\/span><\/span><\/code><code>#<\/span># 6 initial_volume:food_regimeHigh 0.000525 0.000702 0.748 0.457<\/span><\/span><\/code><\/pre>\n<\/section>\n\u5728\u5f97\u51fa\u7ed3\u679c\u540e\uff0c\u5c0f\u679c\u4f7f\u7528\u4e86dotwhisker\u5bf9\u56de\u5f52\u7684\u7ed3\u679c\u751f\u6210\u70b9\u987b\u56fe\u3002\u70b9\u4e3aestimate\u7684\u503c\uff0c\u7ebf\u4e3a\u8bef\u5dee\u7ebf\u3002<\/span><\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"cpp\"><code>tidy(lm_fit) %>% <\/span><\/code><code> dwplot(dot_args =list<\/span>(size =2<\/span>, color =\"black\"<\/span>), <\/span><\/code><code> whisker_args =list<\/span>(color =\"black\"<\/span>), <\/span><\/code><code> vline =geom_vline(xintercept =0<\/span>, colour =\"grey50\"<\/span>, linetype =2<\/span>))<\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/4_TNwicibsfKkw8syl0FWjhVEA5cgI1A.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6efZiavGTSdrXhuNB0ulIXe34MsYTNwicibsfKkw8syl0FWjhVEA5cgI1A\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n<h1>step3 \u6784\u5efa\u6d4b\u8bd5\u6570\u636e\u96c6<\/span> <\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>new_points <-expand.grid(initial_volume =20, <\/span><\/code><code> food_regime =c(\"Initial\", \"Low\", \"High\")) <\/span><\/code><code>new_points<\/span><\/code><code>#<\/span># initial_volume food_regime <\/span><\/span><\/code><code>#<\/span># 1 20 Initial <\/span><\/span><\/code><code>#<\/span># 2 20 Low <\/span><\/span><\/code><code>#<\/span># 3 20 High<\/span><\/span><\/code><\/pre>\n<\/section>\n<h1>step4 \u9884\u6d4b\u6570\u636e<\/span> <\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>mean_pred <-predict(lm_fit, new_data = new_points) <\/span><\/code><code>mean_pred<\/span><\/code><code>#<\/span># # A tibble: 3 \u00d7 1 <\/span><\/span><\/code><code>#<\/span># .pred <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 0.0642 <\/span><\/span><\/code><code>#<\/span># 2 0.0588 <\/span><\/span><\/code><code>#<\/span># 3 0.0961 <\/span><\/span><\/code><code>#<\/span> \u6dfb\u52a0\u7f6e\u4fe1\u7a7a\u95f4 <\/span><\/code><code>conf_int_pred <-predict(lm_fit, <\/span><\/code><code> new_data = new_points, <\/span><\/code><code> type =\"conf_int\") <\/span><\/code><code>conf_int_pred<\/span><\/code><code>#<\/span># # A tibble: 3 \u00d7 2 <\/span><\/span><\/code><code>#<\/span># .pred_lower .pred_upper <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 0.0555 0.0729 <\/span><\/span><\/code><code>#<\/span># 2 0.0499 0.0678 <\/span><\/span><\/code><code>#<\/span># 3 0.0870 0.105<\/span><\/span><\/code><code>#<\/span> \u51c6\u5907\u7ed8\u56fe\u6570\u636e <\/span><\/code><code>plot_data <- <\/span><\/code><code> new_points %>% <\/span><\/code><code> bind_cols(mean_pred) %>% <\/span><\/code><code> bind_cols(conf_int_pred) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>#<\/span> \u5c06\u7f6e\u4fe1\u7a7a\u95f4\u7684\u9884\u6d4b\u503c\u4f5c\u4e3a\u8bef\u5dee\u7ebf <\/span><\/code><code>ggplot(plot_data, aes(x = food_regime)) + <\/span><\/code><code> geom_point(aes(y = .pred)) + <\/span><\/code><code> geom_errorbar(aes(ymin = .pred_lower, <\/span><\/code><code> ymax = .pred_upper), <\/span><\/code><code> width = .2) + <\/span><\/code><code> labs(y =\"urchin size\")<\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/5_1YAweV4IkRpzaXaA9OQV6Ed42PC4Fw.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6sxbUKMDG1wgzNuKX7icsBQRtC1YAweV4IkRpzaXaA9OQV6Ed42PC4Fw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n\u7531\u4e8e\u6a21\u578b\u7684\u6784\u5efa\u5bf9\u5927\u591a\u65700\u57fa\u7840\u7684\u5c0f\u4f19\u4f34\u6765\u8bf4\u53ef\u80fd\u6709\u70b9\u96be\u63a5\u53d7\uff0c\u4f46\u6ca1\u6709\u5173\u7cfb\u54e6\uff0c\u8ddf\u7740\u5c0f\u679c\u5148\u628a\u4ee3\u7801\u8fd0\u884c\u51fa\u6765\uff0c\u6211\u4eec\u540e\u671f\u518d\u4e00\u6b65\u4e00\u6b65\u7684\u5206\u6790\u4ee3\u7801\uff0c\u5230\u5e95\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\u5462\uff1f\u8fd8\u53ef\u4ee5\u600e\u4e48\u7ec6\u8c03\u53c2\u6570\u8fdb\u884c\u6539\u6b63\u5462\uff1f\u4eca\u5929\u5c0f\u679c\u548c\u5927\u5bb6\u5206\u4eab\u7684\u53ea\u662ftidymodels\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u8fd9\u4e2aR\u5305\u8fd8\u6709\u5f88\u591a\u522b\u7684\u529f\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u5b83\u8fdb\u884c\u6570\u636e\u5212\u5206\uff0c\u6570\u636e\u7684\u9884\u5904\u7406\u7b49\u7b49\u4e00\u7cfb\u5217\u673a\u5668\u5b66\u4e60\u7684\u51fd\u6570\u3002\u6709\u5174\u8da3\u7684\u5c0f\u4f19\u4f34\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e0b\u5c0f\u679c\uff0c\u5c0f\u679c\u4f1a\u7ee7\u7eed\u66f4\u65b0\u54e6~\u90a3\u4e48\u4eca\u5929\u5c0f\u679c\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\u5566\uff01<\/span><\/span><\/p>\n<section 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textvalue=\"1.\u642d\u5efa\u751f\u4fe1\u5206\u6790\u6d41\u6c34\u7ebf\uff0c\u5982\u5de5\u5382\u4e00\u683724\u5c0f\u65f6\u8fd0\u8f6cSnakemake\u2014\u2014\u8fdb\u9636\u547d\u4ee4\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" hasload=\"1\" style=\"color: var(--weui-LINK);outline: 0px;cursor: pointer;font-size: 14px;\" rel=\"noopener\">1.\u642d\u5efa\u751f\u4fe1\u5206\u6790\u6d41\u6c34\u7ebf\uff0c\u5982\u5de5\u5382\u4e00\u683724\u5c0f\u65f6\u8fd0\u8f6cSnakemake\u2014\u2014\u8fdb\u9636\u547d\u4ee4<\/a> <\/section>\n<section style=\"outline: 0px;letter-spacing: 0.578px;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=Mzg3OTg3MjQyNg==&mid=2247491705&idx=1&sn=9ff9b6da28b3a256a99c6697d589be66&chksm=cf7f70bcf808f9aafd1019a0bba3dd3a55e2867dbb9a09203f13c2683adf867094637c405ed1&scene=21#wechat_redirect\" 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class=\"topic\">\n\u6536\u5f55\u4e8e\u8bdd\u9898<\/p>\n<a href=\"https:\/\/mp.weixin.qq.com\/mp\/appmsgalbum?__biz=Mzg3OTg3MjQyNg==&action=getalbum&album_id=2812010014583390210#wechat_redirect\" title=\"R\u4ee3\u7801\" target=\"_blank\" rel=\"noopener\">#R\u4ee3\u7801<\/a><a href=\"https:\/\/mp.weixin.qq.com\/mp\/appmsgalbum?__biz=Mzg3OTg3MjQyNg==&action=getalbum&album_id=2664545260517294084#wechat_redirect\" title=\"\u751f\u4fe1\u5b9e\u64cd\" target=\"_blank\" rel=\"noopener\">#\u751f\u4fe1\u5b9e\u64cd<\/a><\/p>\n<\/div>\n<img decoding=\"async\" class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.23333333333333334\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/1_rE2v0O5WiaUDJjgv5bxK2G1ePHyH2g-22.jpg\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_jpg\/zcicibWZessAysHY49vPGCraibakiaNq6hQgn8C5MfvVLQGxlNZPEia2PajKAzrE2v0O5WiaUDJjgv5bxK2G1ePHyH2g\/640?wx_fmt=jpeg'\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" \/><\/p>\n\u5728\u751f\u4fe1\u7814\u7a76\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5206\u4e3a\u4e24\u5927\u65b9\u5411\uff0c\u4e00\u4e2a\u662f\u5bf9\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\uff0c\u4e00\u4e2a\u662f\u4e3a\u7edf\u8ba1\u5206\u6790\u521b\u5efa\u5de5\u5177\uff0c\u4e5f\u5c31\u662f\u6a21\u578b\u7b97\u6cd5\u7684\u7814\u53d1\u548c\u6784\u5efa\u3002\u6253\u4e2a\u6bd4\u65b9\uff1a\u5728\u75be\u75c5\u9884\u6d4b\u7684\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u56de\u60f3\u8ba8\u8bba\u67d0\u4e2a\u56e0\u7d20\u4e0e\u81f4\u6b7b\u7387\u76f8\u5173\u6027\u6709\u591a\u5c11\uff0c\u662f\u4e00\u4e2a\u56de\u5f52\u95ee\u9898\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u4f1a\u7528\u5230\u6a21\u578b\u8fdb\u884c\u62df\u5408\uff1b\u5728\u8f6c\u5f55\u7ec4\u7684\u5206\u6790\u4e2d\uff0c\u805a\u7c7b\u662f\u4e00\u4e2a\u91cd\u70b9\uff0c\u805a\u7c7b\u5219\u4e3a\u4e00\u4e2a\u5206\u7c7b\u95ee\u9898\uff0c\u9700\u8981\u7528\u5230\u5206\u7c7b\u6a21\u578b\u3002\u5728\u5927\u591a\u6570\u5c0f\u4f19\u4f34\u7684\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u90fd\u662f\u5de5\u5177\u7684\u4f7f\u7528\u8005\uff0c\u4e0d\u77e5\u9053\u6709\u6ca1\u6709\u5bf9\u521b\u9020\u5de5\u5177\u6709\u5174\u8da3\u7684\u5c0f\u4f19\u4f34\u5440\uff1f\u4eca\u5929\u5c0f\u679c\u60f3\u4e3a\u5927\u5bb6\u4ecb\u7ecd\u4e00\u4e2a\u6574\u5408\u6027\u8d28\u7684R\u5305\uff0c\u9009\u62e9\u4e86tidyverse\u7684\u601d\u8def\uff0c\u8fd9\u4e2aR\u5305\u5c31\u662ftidymodels\uff01\u4eca\u5929\u5c0f\u679c\u60f3\u5e26\u7740\u5927\u5bb6\u5148\u6709\u4e00\u4e2a\u7b80\u5355\u7684\u8ba4\u8bc6\uff0c\u548c\u5927\u5bb6\u4e00\u8d77\u6765\u5efa\u7acb\u4e00\u4e2a\u6a21\u578b\u5427\u3002 <\/span><\/p>\n<h1>step0 \u5b89\u88c5\u4e0e\u8f7d\u5165R\u5305<\/span><\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"php\"><code>if<\/span>(!require<\/span>(tidymodels)) install.packages(\"tidymodels\"<\/span>) <\/span><\/code><code>if<\/span>(!require<\/span>(broom.mixed)) install.packages(\"broom.mixed\"<\/span>) <\/span><\/code><code>if<\/span>(!require<\/span>(dotwhisker)) install.packages(\"dotwhisker\"<\/span>) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>library(tidymodels) <\/span><\/code><code>library(readr) # \u8f93\u5165\u6570\u636e <\/span><\/span><\/code><code>library(broom.mixed) # \u5c06\u8d1d\u53f6\u65af\u6a21\u578b\u8f6c\u6362\u4e3atibbles\u7c7b\u578b <\/span><\/span><\/code><code>library(dotwhisker) # \u7528\u4e8e\u53ef\u89c6\u5316\u56de\u5f52\u7ed3\u679c<\/span><\/span><\/code><\/pre>\n<\/section>\n<h1>step1 \u6570\u636e\u51c6\u5907<\/span> \n <\/span><\/h1>\n\u9996\u5148\uff0c\u8ba9\u6211\u4eec\u5c06\u6d77\u80c6\u6570\u636e\u8bfb\u5165 R\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u63d0\u4f9breadr::read_csv()CSV \u6570\u636e\u6240\u5728\u7684 url \u6765\u5b8c\u6210\u6b64\u64cd\u4f5c\uff08\u201c <\/span>https:\/\/tidymodels.org\/start\/models\/urchins.csv<\/span> \u201d\uff09\u3002<\/span>\u5728\u8fdb\u884c\u5efa\u6a21\u65f6\uff0c\u5bf9\u6570\u636e\u6709\u524d\u6cbf\u8ba4\u8bc6\u4e5f\u662f\u5341\u5206\u91cd\u8981\u7684\u54e6\uff01\u8fd9\u7ec4\u6d77\u80c6\u7684\u6570\u636e\u63a2\u7d22\u4e86\u4e09\u79cd\u4e0d\u540c\u7684\u5582\u517b\u65b9\u5f0f\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u5f71\u54cd\u6d77\u80c6\u7684\u5927\u5c0f\u3002\u5b9e\u9a8c\u5f00\u59cb\u65f6\u6d77\u80c6\u7684\u521d\u59cb\u5927\u5c0f\u53ef\u80fd\u4f1a\u5f71\u54cd\u5b83\u4eec\u5728\u8fdb\u98df\u65f6\u7684\u751f\u957f\u5927\u5c0f\u3002<\/span>food_regime\uff1a\u5b9e\u9a8c\u5582\u517b\u65b9\u6848 initial_volume\uff1a\u521d\u59cb\u5927\u5c0f width\uff1a\u5bbd\u5ea6<\/span> <\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"swift\"><code>urchins <- <\/span><\/code><code> read_csv(\"https:\/\/tidymodels.org\/start\/models\/urchins.csv\"<\/span>) %>% <\/span><\/code><code> setNames(c<\/span>(\"food_regime\"<\/span>, \"initial_volume\"<\/span>, \"width\"<\/span>)) %>% <\/span><\/code><code> mutate(food_regime =factor(food_regime, levels =c<\/span>(\"Initial\"<\/span>, \"Low\"<\/span>, \"High\"<\/span>))) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>urchins<\/span><\/code><\/pre>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>#<\/span># # A tibble: 72 \u00d7 3 <\/span><\/span><\/code><code>#<\/span># food_regime initial_volume width <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 Initial 3.5 0.01 <\/span><\/span><\/code><code>#<\/span># 2 Initial 5 0.02 <\/span><\/span><\/code><code>#<\/span># 3 Initial 8 0.061 <\/span><\/span><\/code><code>#<\/span># 4 Initial 10 0.051 <\/span><\/span><\/code><code>#<\/span># 5 Initial 13 0.041 <\/span><\/span><\/code><code>#<\/span># 6 Initial 13 0.061 <\/span><\/span><\/code><code>#<\/span># 7 Initial 15 0.041 <\/span><\/span><\/code><code>#<\/span># 8 Initial 15 0.071 <\/span><\/span><\/code><code>#<\/span># 9 Initial 16 0.092 <\/span><\/span><\/code><code>#<\/span># 10 Initial 17 0.051 <\/span><\/span><\/code><code>#<\/span># # \u2139 62 more rows<\/span><\/span><\/code><\/pre>\n<\/section>\n\u6211\u4eec\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u4e0b\u53ef\u89c6\u5316\uff0c\u4e86\u89e3\u4e00\u4e0b\u6570\u636e\u7684\u5177\u4f53\u5206\u5e03\u3002\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u5b9e\u9a8c\u5582\u517b\u65b9\u5f0f\u7684\u6539\u53d8\u4ee5\u53ca\u521d\u59cb\u7684\u4f53\u79ef\u5747\u4f1a\u5f71\u54cd\u6d77\u80c6\u7684\u5bbd\u5ea6\u3002<\/span><\/p>\n<h1 style=\"letter-spacing: 0.578px;text-wrap: wrap;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-galleryid=\"\" data-imgfileid=\"100012187\" data-ratio=\"0.38981481481481484\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/2_IWicymEetCc6Enf2BkUE4Yz1Ya5e5w-17.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAyuYsqlJnQUJvnS2iciaDibtfbdV0VmHlriaSjYwjFPLp1BLjokHIWicymEetCc6Enf2BkUE4Yz1Ya5e5w\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"letter-spacing: 0.578px;text-align: center;\" \/><\/span><\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"properties\"><code>ggplot(urchins,<\/span> <\/span><\/span><\/code><code> aes(x<\/span> = initial_volume, <\/span><\/span><\/code><code> y<\/span> = width, <\/span><\/span><\/code><code> group<\/span> = food_regime, <\/span><\/span><\/code><code> col<\/span> = food_regime)) + <\/span><\/span><\/code><code> geom_point()<\/span> + <\/span><\/span><\/code><code> geom_smooth(method<\/span> = lm, se =FALSE) + <\/span><\/span><\/code><code> scale_color_viridis_d(option<\/span> =\"plasma\", end = .7)<\/span><\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/3_KTicU1FrDOYiamwI4bNweBoXTTAc8Q.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6d3NjC1oyIIHz3jgvl7e8ic5LqL3KTicU1FrDOYiamwI4bNweBoXTTAc8Q\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n<h1>step2 \u6784\u5efa\u6a21\u578b<\/span> \n <\/span><\/h1>\n\u90a3\u4e48\u6211\u4eec\u5bf9\u4e8e\u8fd9\u4e2a\u6570\u636e\uff0c\u5728\u56de\u5f52\u4e0e\u5206\u7c7b\u4e24\u4e2a\u4e2d\u8fdb\u884c\u9009\u62e9\uff0c\u6211\u4eec\u5e94\u8be5\u9009\u62e9\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u8fdb\u884c\u62df\u5408\u5206\u6790\u3002<\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>#<\/span> \u5728\u8fd9\u5c0f\u679c\u9009\u62e9\u4e86parsnip\u5305\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b <\/span><\/code><code>linear_reg() # \u9ed8\u8ba4\u6a21\u578b\u4f7f\u7528\u7684\u662f\u6700\u5c0f\u4e8c\u4e58\u6cd5<\/span><\/code><code>#<\/span># Linear Regression Model Specification (regression) <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Computational engine: lm<\/span><\/span><\/code><code>#<\/span> \u4fdd\u5b58\u6a21\u578b <\/span><\/code><code>lm_mod <-linear_reg() <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>#<\/span> \u4f7f\u7528fit\u51fd\u6570\u4f30\u8ba1\u6216\u8bad\u7ec3\u6a21\u578b <\/span><\/code><code>lm_fit <- <\/span><\/code><code> lm_mod %>% <\/span><\/code><code> fit(width ~ initial_volume * food_regime, data = urchins) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>lm_fit <\/span><\/code><code>#<\/span># parsnip model object <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Call: <\/span><\/span><\/code><code>#<\/span># stats::lm(formula = width ~ initial_volume * food_regime, data = data) <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># Coefficients: <\/span><\/span><\/code><code>#<\/span># (Intercept) initial_volume <\/span><\/span><\/code><code>#<\/span># 0.0331216 0.0015546 <\/span><\/span><\/code><code>#<\/span># food_regimeLow food_regimeHigh <\/span><\/span><\/code><code>#<\/span># 0.0197824 0.0214111 <\/span><\/span><\/code><code>#<\/span># initial_volume:food_regimeLow initial_volume:food_regimeHigh <\/span><\/span><\/code><code>#<\/span># -0.0012594 0.0005254<\/span><\/span><\/code><code>#<\/span> \u8bb8\u591a\u6a21\u578b\u90fd\u6709 tidy\u51fd\u6570\uff0c\u533a\u522b\u4e8esummary\u51fd\u6570\uff0c\u4ee5\u4e00\u79cd\u66f4\u53ef\u9884\u6d4b\u548c\u66f4\u6709\u7528\u7684\u683c\u5f0f\u63d0\u4f9b\u6458\u8981\u7ed3\u679c\u54e6\uff01\uff08\u4f8b\u5982\u5177\u6709\u6807\u51c6\u5217\u540d\u79f0\u7684\u6570\u636e\u6846\uff09 <\/span><\/code><code>tidy(lm_fit)<\/span><\/code><code>#<\/span># # A tibble: 6 \u00d7 5 <\/span><\/span><\/code><code>#<\/span># term estimate std.error statistic p.value <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 (Intercept) 0.0331 0.00962 3.44 0.00100 <\/span><\/span><\/code><code>#<\/span># 2 initial_volume 0.00155 0.000398 3.91 0.000222 <\/span><\/span><\/code><code>#<\/span># 3 food_regimeLow 0.0198 0.0130 1.52 0.133 <\/span><\/span><\/code><code>#<\/span># 4 food_regimeHigh 0.0214 0.0145 1.47 0.145 <\/span><\/span><\/code><code>#<\/span># 5 initial_volume:food_regimeLow -0.00126 0.000510 -2.47 0.0162 <\/span><\/span><\/code><code>#<\/span># 6 initial_volume:food_regimeHigh 0.000525 0.000702 0.748 0.457<\/span><\/span><\/code><\/pre>\n<\/section>\n\u5728\u5f97\u51fa\u7ed3\u679c\u540e\uff0c\u5c0f\u679c\u4f7f\u7528\u4e86dotwhisker\u5bf9\u56de\u5f52\u7684\u7ed3\u679c\u751f\u6210\u70b9\u987b\u56fe\u3002\u70b9\u4e3aestimate\u7684\u503c\uff0c\u7ebf\u4e3a\u8bef\u5dee\u7ebf\u3002<\/span><\/span><\/p>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"cpp\"><code>tidy(lm_fit) %>% <\/span><\/code><code> dwplot(dot_args =list<\/span>(size =2<\/span>, color =\"black\"<\/span>), <\/span><\/code><code> whisker_args =list<\/span>(color =\"black\"<\/span>), <\/span><\/code><code> vline =geom_vline(xintercept =0<\/span>, colour =\"grey50\"<\/span>, linetype =2<\/span>))<\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/4_TNwicibsfKkw8syl0FWjhVEA5cgI1A.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6efZiavGTSdrXhuNB0ulIXe34MsYTNwicibsfKkw8syl0FWjhVEA5cgI1A\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n<h1>step3 \u6784\u5efa\u6d4b\u8bd5\u6570\u636e\u96c6<\/span> <\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>new_points <-expand.grid(initial_volume =20, <\/span><\/code><code> food_regime =c(\"Initial\", \"Low\", \"High\")) <\/span><\/code><code>new_points<\/span><\/code><code>#<\/span># initial_volume food_regime <\/span><\/span><\/code><code>#<\/span># 1 20 Initial <\/span><\/span><\/code><code>#<\/span># 2 20 Low <\/span><\/span><\/code><code>#<\/span># 3 20 High<\/span><\/span><\/code><\/pre>\n<\/section>\n<h1>step4 \u9884\u6d4b\u6570\u636e<\/span> <\/span><\/h1>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"shell\"><code>mean_pred <-predict(lm_fit, new_data = new_points) <\/span><\/code><code>mean_pred<\/span><\/code><code>#<\/span># # A tibble: 3 \u00d7 1 <\/span><\/span><\/code><code>#<\/span># .pred <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 0.0642 <\/span><\/span><\/code><code>#<\/span># 2 0.0588 <\/span><\/span><\/code><code>#<\/span># 3 0.0961 <\/span><\/span><\/code><code>#<\/span> \u6dfb\u52a0\u7f6e\u4fe1\u7a7a\u95f4 <\/span><\/code><code>conf_int_pred <-predict(lm_fit, <\/span><\/code><code> new_data = new_points, <\/span><\/code><code> type =\"conf_int\") <\/span><\/code><code>conf_int_pred<\/span><\/code><code>#<\/span># # A tibble: 3 \u00d7 2 <\/span><\/span><\/code><code>#<\/span># .pred_lower .pred_upper <\/span><\/span><\/code><code>#<\/span># <\/span><\/span><\/code><code>#<\/span># 1 0.0555 0.0729 <\/span><\/span><\/code><code>#<\/span># 2 0.0499 0.0678 <\/span><\/span><\/code><code>#<\/span># 3 0.0870 0.105<\/span><\/span><\/code><code>#<\/span> \u51c6\u5907\u7ed8\u56fe\u6570\u636e <\/span><\/code><code>plot_data <- <\/span><\/code><code> new_points %>% <\/span><\/code><code> bind_cols(mean_pred) %>% <\/span><\/code><code> bind_cols(conf_int_pred) <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code> <\/span><\/code><code>#<\/span> \u5c06\u7f6e\u4fe1\u7a7a\u95f4\u7684\u9884\u6d4b\u503c\u4f5c\u4e3a\u8bef\u5dee\u7ebf <\/span><\/code><code>ggplot(plot_data, aes(x = food_regime)) + <\/span><\/code><code> geom_point(aes(y = .pred)) + <\/span><\/code><code> geom_errorbar(aes(ymin = .pred_lower, <\/span><\/code><code> ymax = .pred_upper), <\/span><\/code><code> width = .2) + <\/span><\/code><code> labs(y =\"urchin size\")<\/span><\/code><\/pre>\n<\/section>\n<img decoding=\"async\" loading=\"lazy\" class=\"rich_pages wxw-img\" data-ratio=\"0.8\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/5_1YAweV4IkRpzaXaA9OQV6Ed42PC4Fw.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/sz_mmbiz_png\/zcicibWZessAz3JeicJYr7pOY6FNYBTEIa6sxbUKMDG1wgzNuKX7icsBQRtC1YAweV4IkRpzaXaA9OQV6Ed42PC4Fw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" height=\"384.7799987792969\" width=\"480.969970703125\" \/><\/span><\/p>\n\u7531\u4e8e\u6a21\u578b\u7684\u6784\u5efa\u5bf9\u5927\u591a\u65700\u57fa\u7840\u7684\u5c0f\u4f19\u4f34\u6765\u8bf4\u53ef\u80fd\u6709\u70b9\u96be\u63a5\u53d7\uff0c\u4f46\u6ca1\u6709\u5173\u7cfb\u54e6\uff0c\u8ddf\u7740\u5c0f\u679c\u5148\u628a\u4ee3\u7801\u8fd0\u884c\u51fa\u6765\uff0c\u6211\u4eec\u540e\u671f\u518d\u4e00\u6b65\u4e00\u6b65\u7684\u5206\u6790\u4ee3\u7801\uff0c\u5230\u5e95\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\u5462\uff1f\u8fd8\u53ef\u4ee5\u600e\u4e48\u7ec6\u8c03\u53c2\u6570\u8fdb\u884c\u6539\u6b63\u5462\uff1f\u4eca\u5929\u5c0f\u679c\u548c\u5927\u5bb6\u5206\u4eab\u7684\u53ea\u662ftidymodels\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u8fd9\u4e2aR\u5305\u8fd8\u6709\u5f88\u591a\u522b\u7684\u529f\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u5b83\u8fdb\u884c\u6570\u636e\u5212\u5206\uff0c\u6570\u636e\u7684\u9884\u5904\u7406\u7b49\u7b49\u4e00\u7cfb\u5217\u673a\u5668\u5b66\u4e60\u7684\u51fd\u6570\u3002\u6709\u5174\u8da3\u7684\u5c0f\u4f19\u4f34\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e0b\u5c0f\u679c\uff0c\u5c0f\u679c\u4f1a\u7ee7\u7eed\u66f4\u65b0\u54e6~\u90a3\u4e48\u4eca\u5929\u5c0f\u679c\u7684\u5206\u4eab\u5c31\u5230\u8fd9\u91cc\u5566\uff01<\/span><\/span><\/p>\n<section 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textvalue=\"2.\u6bd4blast\u8fd8\u4f18\u79c0\u7684\u5e8f\u5217\u6bd4\u5bf9\u5de5\u5177\uff1fHMMER\u6765\u4e86\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" hasload=\"1\" style=\"color: var(--weui-LINK);outline: 0px;cursor: pointer;font-size: 14px;\" rel=\"noopener\">2.\u6bd4blast\u8fd8\u4f18\u79c0\u7684\u5e8f\u5217\u6bd4\u5bf9\u5de5\u5177\uff1fHMMER\u6765\u4e86<\/a><\/section>\n<section style=\"outline: 0px;letter-spacing: 0.578px;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=Mzg3OTg3MjQyNg==&mid=2247491909&idx=1&sn=902e34bcf53e605fba2b457ec6a33e36&chksm=cf7f7180f808f8961542f458a49da14e85d8831449fb65fbf2623d55affc564686a5422f56fd&scene=21#wechat_redirect\" textvalue=\"3.\u5bf9\u5355\u7ec6\u80de\u5206\u6790\u6beb\u65e0\u5934\u7eea\uff1f\u8ba9popsicleR\u9886\u4f60\u5165\u95e8\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" hasload=\"1\" style=\"color: var(--weui-LINK);outline: 0px;cursor: pointer;font-size: 14px;\" rel=\"noopener\">3.\u5bf9\u5355\u7ec6\u80de\u5206\u6790\u6beb\u65e0\u5934\u7eea\uff1f\u8ba9popsicleR\u9886\u4f60\u5165\u95e8<\/a><\/section>\n<section style=\"outline: 0px;letter-spacing: 0.578px;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=Mzg3OTg3MjQyNg==&mid=2247491905&idx=1&sn=fb34ebd6282962c7803badaee7a39096&chksm=cf7f7184f808f8929608c0050344ad86193d0fc6455c1c18e16cc17bf4b37832b63d3b18284e&scene=21#wechat_redirect\" textvalue=\"4.\u5c0f\u679c\u5e26\u4f60\u7ed8\u5236ROC\u66f2\u7ebf\u8bc4\u4f30\u751f\u5b58\u9884\u6d4b\u80fd\u529b\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" hasload=\"1\" style=\"color: var(--weui-LINK);outline: 0px;cursor: pointer;\" rel=\"noopener\">4.\u5c0f\u679c\u5e26\u4f60\u7ed8\u5236ROC\u66f2\u7ebf\u8bc4\u4f30\u751f\u5b58\u9884\u6d4b\u80fd\u529b<\/span><\/a><\/section>\n<section style=\"outline: 0px;letter-spacing: 0.578px;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=Mzg3OTg3MjQyNg==&mid=2247493633&idx=1&sn=2263dfe7572c0bcf6816c2c1a37d79de&chksm=cf7f78c4f808f1d2209321d6ace39fde5fa60c0691b56f88eac21916f5a2872ce8ee345f1d5f&scene=21#wechat_redirect\" textvalue=\"\u8f6f\u4ef6\u5305\u5b89\u88c5\u3001\u6253\u602a\u5feb\u53c8\u597d\uff0c1024G\u5b58\u50a8\u7684\u751f\u4fe1\u670d\u52a1\u5668\uff1b\u8fd8\u6709\u6bd4\u8fd9\u66f4\u7701\u94b1\u7684\u561b\uff01\uff01\uff01\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" hasload=\"1\" style=\"color: var(--weui-LINK);outline: 0px;cursor: pointer;letter-spacing: 0.578px;font-size: 14px;\" 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