Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n ts(veri, ba\u015flang\u0131\u00e7, biti\u015f, s\u0131kl\u0131k)<\/strong><\/span><\/p>\n Alt\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, pratikte farkl\u0131 zaman serisi nesneleri olu\u015fturmak i\u00e7in bu fonksiyonun nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Bir perakende ma\u011fazas\u0131n\u0131n 1 Ekim 2023’ten itibaren art arda 20 ay boyunca yapt\u0131\u011f\u0131 sat\u0131\u015flar\u0131n say\u0131s\u0131n\u0131 i\u00e7eren, veri ad\u0131 verilen a\u015fa\u011f\u0131daki vekt\u00f6re<\/strong> sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Bu vekt\u00f6rden bir zaman serisi nesnesi olu\u015fturmak i\u00e7in ts()<\/strong> i\u015flevini kullanabilir ve Frekans=12’yi<\/strong> belirtebiliriz:<\/span><\/p>\n De\u011ferler vekt\u00f6r\u00fcn\u00fcn, de\u011ferlerin art\u0131k Ekim 2023’ten May\u0131s 2025’e kadar olan bir ay ile ili\u015fkilendirildi\u011fi bir zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fc\u011f\u00fcn\u00fc unutmay\u0131n.<\/span><\/p>\n ts_data’n\u0131n<\/strong> ger\u00e7ekten bir zaman serisi nesnesi oldu\u011funu do\u011frulamak i\u00e7in class()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n Bir perakende ma\u011fazas\u0131n\u0131n 2000 y\u0131l\u0131ndan ba\u015flayarak art arda 20 y\u0131l boyunca yapt\u0131\u011f\u0131 sat\u0131\u015flar\u0131n say\u0131s\u0131n\u0131 i\u00e7eren, veri<\/strong> ad\u0131 verilen a\u015fa\u011f\u0131daki vekt\u00f6re sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Bu vekt\u00f6rden bir zaman serisi nesnesi olu\u015fturmak i\u00e7in ts()<\/strong> i\u015flevini kullanabilir ve Frekans=1<\/strong> belirtebiliriz:<\/span><\/p>\n De\u011ferler vekt\u00f6r\u00fcn\u00fcn, de\u011ferlerin art\u0131k 2000’den 2019’a kadar olan bir y\u0131lla ili\u015fkilendirildi\u011fi bir zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fc\u011f\u00fcn\u00fc unutmay\u0131n.<\/span><\/p>\n ts_data’n\u0131n<\/strong> ger\u00e7ekten bir zaman serisi nesnesi oldu\u011funu do\u011frulamak i\u00e7in class()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n Dilersek y\u0131llara g\u00f6re sat\u0131\u015flar\u0131 g\u00f6rselle\u015ftirmek i\u00e7inplot()<\/strong> fonksiyonunu da kullanabiliriz:<\/span> <\/p>\n X ekseninin y\u0131l\u0131, Y ekseninin ise sat\u0131\u015f de\u011ferlerini g\u00f6r\u00fcnt\u00fcledi\u011fini unutmay\u0131n.<\/span><\/p>\n Okumay\u0131 kolayla\u015ft\u0131rmak i\u00e7in grafi\u011fi de \u00f6zelle\u015ftirebiliriz:<\/span> <\/p>\n Tam olarak istedi\u011finiz zaman serisi grafi\u011fini olu\u015fturmak i\u00e7in , arsa()<\/strong> fonksiyonunun arg\u00fcmanlar\u0131n\u0131 de\u011fi\u015ftirmekten \u00e7ekinmeyin.<\/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 bir zaman serisi nas\u0131l \u00e7izilir<\/a> R’de bir zaman serisi nesnesi olu\u015fturman\u0131n en kolay yolu ts() i\u015flevini kullanmakt\u0131r. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: ts(veri, ba\u015flang\u0131\u00e7, biti\u015f, s\u0131kl\u0131k) Alt\u0131n: veri : zaman serisi de\u011ferlerinin bir vekt\u00f6r\u00fc veya matrisi ba\u015flang\u0131\u00e7 : \u0130lk g\u00f6zlemin zaman\u0131 biti\u015f : Son g\u00f6zlemin zaman\u0131 frekans : Birim zamandaki g\u00f6zlem say\u0131s\u0131. A\u015fa\u011f\u0131daki \u00f6rnekler, pratikte farkl\u0131 zaman serisi nesneleri […]<\/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-4506","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n\n
\u00d6rnek 1: Ayl\u0131k verilerle zaman serisi olu\u015fturma<\/strong><\/span><\/h2>\n
#create vector of 20 values\n<\/span>data <- c(6, 7, 7, 7, 8, 5, 8, 9, 4, 9, 12, 14, 14, 15, 18, 24, 20, 15, 24, 26)\n<\/strong><\/pre>\n #create time series object from vector\n<\/span>ts_data <- ts(data, start=c(2023, 10), frequency=12)\n\n#view time series object\n<\/span>ts_data\n\n Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec\n2023 6 7 7\n2024 7 8 5 8 9 4 9 12 14 14 15 18\n2025 24 20 15 24 26 \n<\/strong><\/pre>\n #display class of ts_data object\n<\/span>class(ts_data)\n\n [1] \u201cts\u201d\n<\/strong><\/pre>\n \u00d6rnek 2: Y\u0131ll\u0131k verilerle zaman serisi olu\u015fturma<\/strong><\/span><\/h2>\n
#create vector of 20 values\n<\/span>data <- c(6, 7, 7, 7, 8, 5, 8, 9, 4, 9, 12, 14, 14, 15, 18, 24, 20, 15, 24, 26)\n<\/strong><\/pre>\n #create time series object from vector\n<\/span>ts_data <- ts(data, start=2023, frequency=1)\n\n#view time series object\n<\/span>Time Series:\nStart = 2000 \nEnd = 2019 \nFrequency = 1 \n [1] 6 7 7 7 8 5 8 9 4 9 12 14 14 15 18 24 20 15 24 26 \n<\/strong><\/pre>\n #display class of ts_data object\n<\/span>class(ts_data)\n\n [1] \u201cts\u201d<\/strong><\/pre>\n #create line plot of time series data\n<\/span>plot(ts_data)<\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ts1.png\")
<\/p>\n #create line plot with custom x-axis, y-axis, title, line color and line width\n<\/span>plot(ts_data, xlab=' Year<\/span> ', ylab=' Sales<\/span> ', main=' Sales by Year<\/span> ', col=' blue<\/span> ', lwd= 3<\/span> )\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ts2.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span>
<\/span><\/h2>\n
R’de bir veri \u00e7er\u00e7evesini zaman serisine d\u00f6n\u00fc\u015ft\u00fcrme<\/a>
Bir dize R’de Datetime’a nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"