<\/p>\n
Zaman serisi analizinde hareketli ortalama<\/strong> , \u00f6nceki d\u00f6nemlerin ortalama de\u011ferini temsil eder.<\/span><\/p>\n R’de bir grup hareketli ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, de\u011fi\u015fken1’e<\/strong> g\u00f6re grupland\u0131r\u0131lm\u0131\u015f de\u011fi\u015fken2’nin<\/strong> 3 d\u00f6nemlik hareketli ortalamas\u0131n\u0131 hesaplar.<\/span><\/p>\n Bu kod, dplyr<\/strong> paketindeki group_by()<\/strong> i\u015flevini ve zoo<\/strong> paketindeki rollmean()<\/strong> i\u015flevini kullan\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n R’de bir \u00fcr\u00fcn\u00fcn ard\u0131\u015f\u0131k g\u00fcnlerde iki farkl\u0131 ma\u011fazadaki sat\u0131\u015flar\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Her ma\u011faza i\u00e7in 3 g\u00fcnl\u00fck hareketli ortalama sat\u0131\u015f de\u011ferini g\u00f6r\u00fcnt\u00fcleyen move_avg3<\/strong> ad\u0131nda yeni bir s\u00fctun olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Not<\/strong> : rollmean()<\/strong> i\u015flevindeki k<\/strong> de\u011feri, hareketli ortalamay\u0131 hesaplamak i\u00e7in kullan\u0131lan \u00f6nceki d\u00f6nemlerin say\u0131s\u0131n\u0131 kontrol eder.<\/span><\/p>\n Moving_avg3<\/strong> s\u00fctunu \u00f6nceki 3 d\u00f6neme ait hareketli ortalama sat\u0131\u015f de\u011ferini g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n \u00d6rne\u011fin A ma\u011fazas\u0131n\u0131n ilk 3 g\u00fcndeki sat\u0131\u015flar\u0131n\u0131n hareketli ortalamas\u0131 \u015fu \u015fekilde hesaplan\u0131r:<\/span><\/p>\n 3 g\u00fcnl\u00fck hareketli ortalama = (4 + 4 + 3) \/ 3 = 3,67<\/strong><\/span><\/p>\n A ma\u011fazas\u0131n\u0131n \u00f6n\u00fcm\u00fczdeki 3 g\u00fcndeki hareketli sat\u0131\u015f ortalamas\u0131 \u015fu \u015fekilde hesaplan\u0131r:<\/span><\/p>\n 3 g\u00fcnl\u00fck hareketli ortalama = (4 + 3 + 5) \/ 3 = 4<\/strong><\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Her ma\u011faza i\u00e7in ilk iki hareketli ortalama de\u011ferinin NA<\/strong> oldu\u011funu unutmay\u0131n \u00e7\u00fcnk\u00fc hareketli ortalama i\u00e7in kullan\u0131lacak yeterli say\u0131da \u00f6nceki d\u00f6nem yoktu.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de birden fazla s\u00fctun nas\u0131l \u00e7izilir<\/a> Zaman serisi analizinde hareketli ortalama , \u00f6nceki d\u00f6nemlerin ortalama de\u011ferini temsil eder. R’de bir grup hareketli ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: library (dplyr) library (zoo) #calculate moving average by group df %>% group_by(variable1) mutate(moving_avg = rollmean(variable2, k= 3 , fill=NA, align=’ right ‘)) Bu \u00f6zel \u00f6rnek, de\u011fi\u015fken1’e g\u00f6re grupland\u0131r\u0131lm\u0131\u015f de\u011fi\u015fken2’nin 3 d\u00f6nemlik hareketli […]<\/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-3491","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)<\/span>\nlibrary<\/span> (zoo)<\/span>\n\n#calculate moving average by group<\/span>\ndf %>%\n group_by(variable1)\n mutate(moving_avg = rollmean(variable2, k= 3<\/span> , fill=NA, align=' right<\/span> '))<\/strong><\/pre>\n \u00d6rnek: R’de gruba g\u00f6re hareketli ortalamay\u0131 hesaplama<\/strong><\/span><\/h2>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (store=rep(c(' A<\/span> ', ' B<\/span> '), each= 7<\/span> ),\n sales=c(4, 4, 3, 5, 6, 5, 7, 4, 8, 7, 2, 5, 4, 6))\n\n#view data frame\n<\/span>df\n\n blind sales\n1 to 4\n2 to 4\n3 to 3\n4 to 5\n5 to 6\n6 to 5\n7 to 7\n8 B 4\n9 B 8\n10 B 7\n11 B 2\n12 B 5\n13 B 4\n14 B 6\n<\/strong><\/pre>\n library<\/span> (dplyr)\nlibrary<\/span> (zoo)\n\n#calculate 3-day moving average of sales, grouped by store<\/span>\ndf %>%\n group_by(store) %>%\n mutate(moving_avg3 = rollmean(sales, k= 3<\/span> , fill=NA, align=' right<\/span> '))\n\n# A tibble: 14 x 3\n# Groups: store[2]\n store sales moving_avg3\n \n 1 A 4 NA \n 2 A 4 NA \n 3 to 3 3.67\n 4 to 5 4 \n 5 to 6 4.67\n 6 to 5 5.33\n 7 to 7 6 \n 8 B 4 NA \n 9 B 8 NA \n10 B 7 6.33\n11 B 2 5.67\n12 B 5 4.67\n13 B 4 3.67\n14 B 6 5\n<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’deki s\u00fctunlar\u0131n ortalamas\u0131 nas\u0131l al\u0131n\u0131r?<\/a>
R’de grup ba\u015f\u0131na ortalama nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"