{"id":605,"date":"2023-07-29T08:50:22","date_gmt":"2023-07-29T08:50:22","guid":{"rendered":"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/"},"modified":"2023-07-29T08:50:22","modified_gmt":"2023-07-29T08:50:22","slug":"mann-whitney-kamu-menguji-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/","title":{"rendered":"Cara melakukan tes mann-whitney u di r"},"content":{"rendered":"

<\/p>\n

\n

Uji Mann-Whitney U<\/a> (terkadang disebut uji jumlah peringkat Wilcoxon) digunakan untuk membandingkan perbedaan antara dua sampel independen ketika distribusi sampel tidak terdistribusi normal<\/a> dan ukuran sampel kecil (n <30).<\/span><\/p>\n

Uji ini dianggap setara dengan uji t dua sampel independen<\/a> .<\/span><\/p>\n

Tutorial ini menjelaskan cara melakukan tes Mann-Whitney U di R.<\/span><\/p>\n

Contoh: Uji Mann-Whitney U di R<\/strong><\/span><\/h2>\n

Para peneliti ingin mengetahui efektif atau tidaknya suatu obat baru dalam mencegah serangan panik. Sebanyak 12 pasien dibagi secara acak menjadi dua kelompok yang terdiri dari 6 orang dan ditugaskan untuk menerima obat baru atau plasebo. Pasien kemudian mencatat jumlah serangan panik yang mereka alami selama sebulan.<\/span><\/p>\n

Hasilnya ditunjukkan di bawah ini:<\/span><\/p>\n

\n\n\n\n\n\n\n\n\n\n\n
OBAT BARU<\/strong><\/span><\/th>\n PLACEBO<\/span><\/strong><\/th>\n<\/tr>\n<\/thead>\n
3<\/span><\/td>\n 4<\/span><\/td>\n<\/tr>\n
5<\/span><\/td>\n 8<\/span><\/td>\n<\/tr>\n
1<\/span><\/td>\n 6<\/span><\/td>\n<\/tr>\n
4<\/span><\/td>\n 2<\/span><\/td>\n<\/tr>\n
3<\/span><\/td>\n 1<\/span><\/td>\n<\/tr>\n
5<\/span><\/td>\n 9<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Lakukan tes Mann-Whitney U untuk mengetahui apakah terdapat perbedaan jumlah serangan panik pada pasien kelompok plasebo dibandingkan kelompok obat baru. Gunakan tingkat signifikansi 0,05.<\/span><\/p>\n

Ada dua cara berbeda untuk melakukan pengujian Mann-Whitney U, namun kedua metode tersebut menggunakan fungsi wilcox.test()<\/strong> dan keduanya memberikan hasil yang sama.<\/span><\/p>\n

Opsi 1: Masukkan data sebagai dua vektor terpisah.<\/strong><\/span><\/p>\n

 #create a vector for each group\n<\/span>new <- c(3, 5, 1, 4, 3, 5)\nplacebo <- c(4, 8, 6, 2, 1, 9)\n\n#perform the Mann Whitney U test\n<\/span>wilcox.test(new, placebo)\n\n#output<\/span>\nWilcoxon rank sum test with continuity correction\n\ndata: new and placebo\nW = 13, p-value = 0.468\nalternative hypothesis: true location shift is not equal to 0\n<\/strong><\/pre>\n
 Opsi 2: Masukkan data dalam bingkai data dengan dua kolom. Satu kolom berisi jumlah serangan panik dan kolom lainnya berisi grup.<\/strong><\/span><\/p>\n
 #create a data frame with two columns, one for each group\n<\/span>drug_data <- data.frame(attacks = c(3, 5, 1, 4, 3, 5, 4, 8, 6, 2, 1, 9),\n                        drug_group = c(rep(\"old\", 6), rep(\"placebo\", 6)))\n\n#perform the Mann Whitney U test\n<\/span>wilcox.test(attacks~drug_group, data = drug_data)\n\n#output<\/span>\ndata: attacks by drug_group\nW = 13, p-value = 0.468\nalternative hypothesis: true location shift is not equal to 0\n<\/strong><\/pre>\n
 Perhatikan bahwa kedua metode memberikan hasil yang persis sama. Yaitu, statistik ujinya adalah W = 13 dan nilai p yang sesuai adalah 0,468<\/strong> .<\/span><\/p>\n
 Karena nilai p lebih besar dari 0,05, kami gagal menolak hipotesis nol.<\/span><\/p>\n
 Artinya, kami tidak memiliki cukup bukti untuk mengatakan bahwa jumlah serangan panik yang dialami pasien pada kelompok plasebo berbeda dengan pasien pada kelompok obat baru.<\/span><\/p>\n
 Catatan tentang penggunaan Wilcox.test()<\/strong><\/span><\/h3>\n
 Secara default, wilcox.test()<\/strong> mengasumsikan bahwa Anda ingin menjalankan uji hipotesis dua sisi. Namun, Anda dapat menentukan alternatif=\u201dkurang\u201d<\/strong> atau alternatif=\u201dlebih\u201d<\/strong> jika Anda ingin menjalankan pengujian satu sisi.<\/span><\/p>\n
 Misalnya, kita ingin menguji hipotesis bahwa obat baru menyebabkan lebih sedikit<\/em> serangan panik dibandingkan plasebo. Dalam hal ini, kita dapat menentukan alternatif=\u201dkurang\u201d<\/strong> dalam fungsi wilcox.test() kita:<\/span><\/p>\n
 #create a vector for each group\n<\/span>new <- c(3, 5, 1, 4, 3, 5)\nplacebo <- c(4, 8, 6, 2, 1, 9)\n\n#perform the Mann Whitney U test, specify alternative=\"less\"\n<\/span>wilcox.test(new, placebo, alternative=\"less\")\n\n#output<\/span>\n\tWilcoxon rank sum test with continuity correction\n\ndata: new and placebo\nW = 13, p-value = 0.234\nalternative hypothesis: true location shift is less than 0\n<\/strong><\/pre>\n
 Perhatikan bahwa statistik pengujian masih W = 13, namun nilai p sekarang menjadi 0,234<\/strong> , yang merupakan setengah dari nilai p sebelumnya untuk pengujian dua sisi.<\/span><\/p>\n
 Karena nilai p selalu lebih besar dari 0,05, kita tetap gagal menolak hipotesis nol.<\/span><\/p>\n
 Kami tidak memiliki cukup bukti untuk mengatakan bahwa jumlah serangan panik yang dialami oleh pasien dalam kelompok obat baru lebih rendah dibandingkan pasien dalam kelompok plasebo.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Panduan Tes Mann-Whitney U<\/a>
 Kalkulator Tes Mann-Whitney U<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Uji Mann-Whitney U (terkadang disebut uji jumlah peringkat Wilcoxon) digunakan untuk membandingkan perbedaan antara dua sampel independen ketika distribusi sampel tidak terdistribusi normal dan ukuran sampel kecil (n <30). Uji ini dianggap setara dengan uji t dua sampel independen . Tutorial ini menjelaskan cara melakukan tes Mann-Whitney U di R. Contoh: Uji Mann-Whitney U di […]<\/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":[],"yoast_head":"\nCara Melakukan Tes Mann-Whitney U di R - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara melakukan tes Mann-Whitney U di R, termasuk contoh langkah demi langkah.\" \/>\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\/id\/mann-whitney-kamu-menguji-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Melakukan Tes Mann-Whitney U di R - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara melakukan tes Mann-Whitney U di R, termasuk contoh langkah demi langkah.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T08:50:22+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/\",\"url\":\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/\",\"name\":\"Cara Melakukan Tes Mann-Whitney U di R - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T08:50:22+00:00\",\"dateModified\":\"2023-07-29T08:50:22+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara melakukan tes Mann-Whitney U di R, termasuk contoh langkah demi langkah.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/mann-whitney-kamu-menguji-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan tes mann-whitney u di r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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