{"id":826,"date":"2023-07-28T15:16:06","date_gmt":"2023-07-28T15:16:06","guid":{"rendered":"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/"},"modified":"2023-07-28T15:16:06","modified_gmt":"2023-07-28T15:16:06","slug":"correlacao-parcial-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/","title":{"rendered":"Como calcular a correla\u00e7\u00e3o parcial em python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Nas estat\u00edsticas, costumamos usar o<\/span> <a href=\"https:\/\/statorials.org\/pt\/coeficiente-de-correlacao-de-pearson-1\/\" target=\"_blank\" rel=\"noopener\">coeficiente de correla\u00e7\u00e3o de Pearson<\/a> <span style=\"color: #000000;\">para medir a rela\u00e7\u00e3o linear entre duas vari\u00e1veis. Por\u00e9m, \u00e0s vezes queremos entender a rela\u00e7\u00e3o entre duas vari\u00e1veis <strong>enquanto controlamos uma terceira vari\u00e1vel<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Por exemplo, suponha que queiramos medir a associa\u00e7\u00e3o entre o n\u00famero de horas de estudo de um aluno e a nota do exame final, controlando a nota atual do aluno na turma. Neste caso, poder\u00edamos utilizar <strong>a correla\u00e7\u00e3o parcial<\/strong> para medir a rela\u00e7\u00e3o entre as horas estudadas e a nota do exame final.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Este tutorial explica como calcular uma correla\u00e7\u00e3o parcial em Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo: correla\u00e7\u00e3o parcial em Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Digamos que temos o seguinte Pandas DataFrame que exibe a nota atual, o total de horas estudadas e a nota do exame final para 10 alunos:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> panda <span style=\"color: #107d3f;\">as<\/span> pd\n\ndata = {'currentGrade': [82, 88, 75, 74, 93, 97, 83, 90, 90, 80],\n        'hours': [4, 3, 6, 5, 4, 5, 8, 7, 4, 6],\n        'examScore': [88, 85, 76, 70, 92, 94, 89, 85, 90, 93],\n        }\n\ndf = pd.DataFrame(data, columns = ['currentGrade','hours', 'examScore'])\ndf\n\n   currentGrade hours examScore\n0 82 4 88\n1 88 3 85\n2 75 6 76\n3 74 5 70\n4 93 4 92\n5 97 5 94\n6 83 8 89\n7 90 7 85\n8 90 4 90\n9 80 6 93\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Para calcular a correla\u00e7\u00e3o parcial entre <strong>horas<\/strong> e <strong>examScore<\/strong> enquanto controlamos <strong>currentGrade<\/strong> , podemos usar a fun\u00e7\u00e3o <strong>parcial_corr()<\/strong> do <a href=\"https:\/\/pingouin-stats.org\/index.html\" target=\"_blank\" rel=\"noopener\">pacote penguin<\/a> , que usa a seguinte sintaxe:<\/span><\/p>\n<p style=\"text-align: center;\"> <strong><span style=\"color: #000000;\">parcial_corr(dados, x, y, covar)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong> nome do quadro de dados<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x, y:<\/strong> nomes de colunas no dataframe<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>covar:<\/strong> o nome da coluna de covari\u00e1vel no dataframe (por exemplo, a vari\u00e1vel que voc\u00ea est\u00e1 controlando)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Veja como usar esta fun\u00e7\u00e3o neste exemplo espec\u00edfico:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#install and import penguin package<\/span> \npip <span style=\"color: #107d3f;\">install<\/span> penguin\n<span style=\"color: #107d3f;\">import<\/span> penguin <span style=\"color: #107d3f;\">as<\/span> pg\n\n<span style=\"color: #008080;\">#find partial correlation between hours and exam score while controlling for grade<\/span>\npg.partial_corr(data=df, x='hours', y='examScore', covar='currentGrade')\n\n\n         n r CI95% r2 adj_r2 p-val BF10 power\npearson 10 0.191 [-0.5, 0.73] 0.036 -0.238 0.598 0.438 0.082\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Podemos observar que a correla\u00e7\u00e3o parcial entre as horas estudadas e a nota do exame final \u00e9 <strong>de 0,191<\/strong> , o que \u00e9 uma pequena correla\u00e7\u00e3o positiva. \u00c0 medida que o n\u00famero de horas de estudo aumenta, as notas dos exames tamb\u00e9m tendem a aumentar, assumindo que a nota atual permanece constante.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Para calcular a correla\u00e7\u00e3o parcial entre diversas vari\u00e1veis de uma s\u00f3 vez, podemos usar a fun\u00e7\u00e3o <strong>.pcorr()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate all pairwise partial correlations, rounded to three decimal places<\/span>\ndf.pcorr().round(3)\n\n\t     currentGrade hours examScore\ncurrentGrade 1.000 -0.311 0.736\nhours -0.311 1.000 0.191\nexamScore 0.736 0.191 1.000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A forma de interpretar o resultado \u00e9 a seguinte:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">A correla\u00e7\u00e3o parcial entre a nota atual e as horas estudadas \u00e9 <strong>de -0,311<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">A correla\u00e7\u00e3o parcial entre a nota atual e a nota do exame <strong>0,736<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">A correla\u00e7\u00e3o parcial entre horas estudadas e nota do exame <strong>0,191<\/strong> .<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Nas estat\u00edsticas, costumamos usar o coeficiente de correla\u00e7\u00e3o de Pearson para medir a rela\u00e7\u00e3o linear entre duas vari\u00e1veis. Por\u00e9m, \u00e0s vezes queremos entender a rela\u00e7\u00e3o entre duas vari\u00e1veis enquanto controlamos uma terceira vari\u00e1vel . Por exemplo, suponha que queiramos medir a associa\u00e7\u00e3o entre o n\u00famero de horas de estudo de um aluno e a nota [&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-826","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 calcular uma correla\u00e7\u00e3o parcial em Python - Estatologia<\/title>\n<meta name=\"description\" content=\"Uma explica\u00e7\u00e3o simples sobre como calcular a correla\u00e7\u00e3o parcial em Python.\" \/>\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\/correlacao-parcial-python\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como calcular uma correla\u00e7\u00e3o parcial em Python - Estatologia\" \/>\n<meta property=\"og:description\" content=\"Uma explica\u00e7\u00e3o simples sobre como calcular a correla\u00e7\u00e3o parcial em Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T15:16:06+00:00\" \/>\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=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/\",\"url\":\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/\",\"name\":\"Como calcular uma correla\u00e7\u00e3o parcial em Python - Estatologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-28T15:16:06+00:00\",\"dateModified\":\"2023-07-28T15:16:06+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Uma explica\u00e7\u00e3o simples sobre como calcular a correla\u00e7\u00e3o parcial em Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/correlacao-parcial-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como calcular a correla\u00e7\u00e3o parcial em python\"}]},{\"@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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