{"id":1179,"date":"2023-07-27T09:26:41","date_gmt":"2023-07-27T09:26:41","guid":{"rendered":"https:\/\/statorials.org\/pt\/inicializacao-em-r\/"},"modified":"2023-07-27T09:26:41","modified_gmt":"2023-07-27T09:26:41","slug":"inicializacao-em-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/inicializacao-em-r\/","title":{"rendered":"Como inicializar em r (com exemplos)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Bootstrapping<\/strong> \u00e9 um m\u00e9todo que pode ser usado para estimar o erro padr\u00e3o de qualquer <a href=\"https:\/\/statorials.org\/pt\/estatisticas-vs-parametro\/\" target=\"_blank\" rel=\"noopener noreferrer\">estat\u00edstica<\/a> e produzir um <a href=\"https:\/\/statorials.org\/pt\/intervalos-de-confianca\/\" target=\"_blank\" rel=\"noopener noreferrer\">intervalo de confian\u00e7a<\/a> para a estat\u00edstica.<\/span><\/p>\n<p> <span style=\"color: #000000;\">O processo b\u00e1sico para inicializa\u00e7\u00e3o \u00e9 o seguinte:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Pegue <em>k<\/em> amostras replicadas com substitui\u00e7\u00e3o de um determinado conjunto de dados.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Para cada amostra, calcule a estat\u00edstica de interesse.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Isso fornece <em>k<\/em> estimativas diferentes para uma determinada estat\u00edstica, que voc\u00ea pode usar para calcular o erro padr\u00e3o da estat\u00edstica e criar um intervalo de confian\u00e7a para a estat\u00edstica.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Podemos inicializar em R usando as seguintes fun\u00e7\u00f5es da <a href=\"https:\/\/cran.r-project.org\/web\/packages\/boot\/boot.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">biblioteca de bootstrap<\/a> :<\/span><\/p>\n<p> <span style=\"color: #000000;\">1. Gere amostras de bootstrap.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>inicializa\u00e7\u00e3o(dados, estat\u00edsticas, R,\u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>dados:<\/strong> um vetor, matriz ou bloco de dados<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>estat\u00edstica:<\/strong> uma fun\u00e7\u00e3o que produz a(s) estat\u00edstica(s) a ser(em) iniciada(s)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>A:<\/strong> N\u00famero de repeti\u00e7\u00f5es de bootstrap<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">2. Gere um intervalo de confian\u00e7a de bootstrap.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>boot.ci(objeto de inicializa\u00e7\u00e3o, conf, tipo)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>bootobject:<\/strong> Um objeto retornado pela fun\u00e7\u00e3o boot()<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>conf:<\/strong> O intervalo de confian\u00e7a a ser calculado. O valor padr\u00e3o \u00e9 0,95<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>type:<\/strong> Tipo de intervalo de confian\u00e7a a ser calculado. As op\u00e7\u00f5es incluem &#8216;padr\u00e3o&#8217;, &#8216;b\u00e1sico&#8217;, &#8216;stud&#8217;, &#8216;perc&#8217;, &#8216;bca&#8217; e &#8216;all&#8217; &#8211; o padr\u00e3o \u00e9 &#8216;all&#8217;<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Os exemplos a seguir mostram como usar essas fun\u00e7\u00f5es na pr\u00e1tica.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 1: inicializar uma \u00fanica estat\u00edstica<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como calcular o erro padr\u00e3o para o <a href=\"https:\/\/statorials.org\/pt\/bom-valor-de-r-ao-quadrado\/\" target=\"_blank\" rel=\"noopener noreferrer\">R-quadrado<\/a> de um modelo de regress\u00e3o linear simples:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>set.seed(0)\n<span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define function to calculate R-squared\n<\/span>rsq_function &lt;- <span style=\"color: #008000;\">function<\/span> (formula, data, indices) {\n  d &lt;- data[indices,] <span style=\"color: #008080;\">#allows boot to select sample<\/span>\n  fit &lt;- lm(formula, data=d) <span style=\"color: #008080;\">#fit regression model<\/span>\n  <span style=\"color: #008000;\">return<\/span> (summary(fit)$r.square) <span style=\"color: #008080;\">#return R-squared of model<\/span>\n}\n<span style=\"color: #008080;\">#perform bootstrapping with 2000 replications\n<\/span>reps &lt;- boot(data=mtcars, statistic=rsq_function, R=2000, formula=mpg~disp)\n\n<span style=\"color: #008080;\">#view results of boostrapping\n<\/span>reps\n\nORDINARY NONPARAMETRIC BOOTSTRAP\n\n\nCall:\nboot(data = mtcars, statistic = rsq_function, R = 2000, formula = mpg ~ \n    available)\n\n\nBootstrap Statistics:\n     original bias std. error\nt1* 0.7183433 0.002164339 0.06513426<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dos resultados podemos ver:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">O R-quadrado estimado para este modelo de regress\u00e3o \u00e9 <strong>0,7183433<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">O erro padr\u00e3o para esta estimativa \u00e9 <strong>0,06513426<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tamb\u00e9m podemos visualizar rapidamente a distribui\u00e7\u00e3o das amostras inicializadas:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plot(reps)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11750 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/demarrage1.png\" alt=\"Histograma de amostras inicializadas em R\" width=\"456\" height=\"437\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Tamb\u00e9m podemos usar o c\u00f3digo a seguir para calcular o intervalo de confian\u00e7a de 95% para o R-quadrado estimado do modelo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate adjusted bootstrap percentile (BCa) interval\n<\/span>boot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \")\n\nCALL: \nboot.ci(boot.out = reps, type = \"bca\")\n\nIntervals: \nLevel BCa          \n95% (0.5350, 0.8188)  \nCalculations and Intervals on Original Scale<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A partir do resultado, podemos ver que o intervalo de confian\u00e7a de 95% inicializado para os verdadeiros valores de R ao quadrado \u00e9 (0,5350, 0,8188).<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 2: inicializar estat\u00edsticas m\u00faltiplas<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como calcular o erro padr\u00e3o para cada coeficiente em um modelo de regress\u00e3o linear m\u00faltipla:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>set.seed(0)\n<span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define function to calculate fitted regression coefficients\n<\/span>coef_function &lt;- <span style=\"color: #008000;\">function<\/span> (formula, data, indices) {\n  d &lt;- data[indices,] <span style=\"color: #008080;\">#allows boot to select sample<\/span>\n  fit &lt;- lm(formula, data=d) <span style=\"color: #008080;\">#fit regression model<\/span>\n  <span style=\"color: #008000;\">return<\/span> (coef(fit)) <span style=\"color: #008080;\">#return coefficient estimates of model<\/span>\n}\n\n<span style=\"color: #008080;\">#perform bootstrapping with 2000 replications\n<\/span>reps &lt;- boot(data=mtcars, statistic=coef_function, R=2000, formula=mpg~disp)\n\n<span style=\"color: #008080;\">#view results of boostrapping\n<\/span>reps\n\nORDINARY NONPARAMETRIC BOOTSTRAP\n\n\nCall:\nboot(data = mtcars, statistic = coef_function, R = 2000, formula = mpg ~ \n    available)\n\n\nBootstrap Statistics:\n       original bias std. error\nt1* 29.59985476 -5.058601e-02 1.49354577\nt2* -0.04121512 6.549384e-05 0.00527082<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dos resultados podemos ver:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">O coeficiente estimado para o intercepto do modelo \u00e9 <strong>29,59985476<\/strong> e o erro padr\u00e3o desta estimativa \u00e9 <strong>1,49354577<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">O coeficiente estimado para a vari\u00e1vel preditora <em>disp<\/em> no modelo \u00e9 <strong>-0,04121512<\/strong> e o erro padr\u00e3o desta estimativa \u00e9 <strong>0,00527082<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tamb\u00e9m podemos visualizar rapidamente a distribui\u00e7\u00e3o das amostras inicializadas:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plot(reps, index=1) <span style=\"color: #008080;\">#intercept of model<\/span>\nplot(reps, index=2) <span style=\"color: #008080;\">#disp predictor variable\n<\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11752 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/demarrage2.png\" alt=\"Inicializando em R\" width=\"669\" height=\"325\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Tamb\u00e9m podemos usar o seguinte c\u00f3digo para calcular os intervalos de confian\u00e7a de 95% para cada coeficiente:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate adjusted bootstrap percentile (BCa) intervals\n<\/span>boot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \", index=1) <span style=\"color: #008080;\">#intercept of model<\/span>\nboot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \", index=2) <span style=\"color: #008080;\">#disp predictor variable\n<\/span>\nCALL: \nboot.ci(boot.out = reps, type = \"bca\", index = 1)\n\nIntervals: \nLevel BCa          \n95% (26.78, 32.66)  \nCalculations and Intervals on Original Scale\nBOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS\nBased on 2000 bootstrap replicates\n\nCALL: \nboot.ci(boot.out = reps, type = \"bca\", index = 2)\n\nIntervals: \nLevel BCa          \n95% (-0.0520, -0.0312)  \nCalculations and Intervals on Original Scale<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A partir dos resultados, podemos ver que os intervalos de confian\u00e7a de 95% inicializados para os coeficientes do modelo s\u00e3o os seguintes:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">IC para intercepta\u00e7\u00e3o: (26,78, 32,66)<\/span><\/li>\n<li> <span style=\"color: #000000;\">CI para <em>disp<\/em> : (-0,0520, -0,0312)<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Recursos adicionais<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/pt\/regressao-linear-simples-em-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Como realizar regress\u00e3o linear simples em R<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/regressao-linear-multipla-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Como realizar regress\u00e3o linear m\u00faltipla em R<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/intervalos-de-confianca\/\" target=\"_blank\" rel=\"noopener noreferrer\">Introdu\u00e7\u00e3o aos intervalos de confian\u00e7a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bootstrapping \u00e9 um m\u00e9todo que pode ser usado para estimar o erro padr\u00e3o de qualquer estat\u00edstica e produzir um intervalo de confian\u00e7a para a estat\u00edstica. O processo b\u00e1sico para inicializa\u00e7\u00e3o \u00e9 o seguinte: Pegue k amostras replicadas com substitui\u00e7\u00e3o de um determinado conjunto de dados. Para cada amostra, calcule a estat\u00edstica de interesse. Isso fornece [&hellip;]<\/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-1179","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Como inicializar em R (com exemplos) - Estatologia<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como inicializar em R, com v\u00e1rios exemplos.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como inicializar em R (com exemplos) - Estatologia\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como inicializar em R, com v\u00e1rios exemplos.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T09:26:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/demarrage1.png\" \/>\n<meta name=\"author\" content=\"Dr. benjamim anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr. benjamim anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo estimado de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/\",\"url\":\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/\",\"name\":\"Como inicializar em R (com exemplos) - Estatologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-27T09:26:41+00:00\",\"dateModified\":\"2023-07-27T09:26:41+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como inicializar em R, com v\u00e1rios exemplos.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/inicializacao-em-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como inicializar em r (com exemplos)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pt\/#website\",\"url\":\"https:\/\/statorials.org\/pt\/\",\"name\":\"Statorials\",\"description\":\"O seu guia para a literacia estat\u00edstica!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pt\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pt-PT\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\",\"name\":\"Dr. benjamim anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-PT\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr. benjamim anderson\"},\"description\":\"Ol\u00e1, sou Benjamin, um professor aposentado de estat\u00edstica que se tornou professor dedicado na Statorials. 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