<\/p>\n
R’de \u00f6zet tablolar\u0131 olu\u015fturman\u0131n en kolay yolu, psych<\/strong> k\u00fct\u00fcphanesindeki tarif()<\/strong> ve tarifBy()<\/strong> i\u015flevlerini kullanmakt\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonlar\u0131n pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Veri \u00e7er\u00e7evesindeki her de\u011fi\u015fken i\u00e7in bir \u00f6zet tablo olu\u015fturmak amac\u0131yla define()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Sonu\u00e7taki her bir de\u011ferin nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Y\u0131ld\u0131z i\u015fareti (*) bulunan herhangi bir de\u011fi\u015fkenin, de\u011ferlerin say\u0131sal s\u0131ras\u0131n\u0131 temsil eden de\u011ferlere sahip say\u0131sal bir de\u011fi\u015fkene d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f kategorik veya mant\u0131ksal bir de\u011fi\u015fken oldu\u011funu unutmamak \u00f6nemlidir.<\/span><\/p>\n \u00d6rne\u011fimizde “tak\u0131m” de\u011fi\u015fkeni say\u0131sal bir de\u011fi\u015fkene d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015ft\u00fcr, dolay\u0131s\u0131yla ilgili \u00f6zet istatistikleri tam anlam\u0131yla yorumlamamal\u0131y\u0131z.<\/span><\/p>\n Ayr\u0131ca fast=TRUE<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini yaln\u0131zca en yayg\u0131n \u00f6zet istatistikleri hesaplamak i\u00e7in kullanabilece\u011finizi unutmay\u0131n:<\/span><\/p>\n Ayr\u0131ca veri \u00e7er\u00e7evesindeki belirli de\u011fi\u015fkenler i\u00e7in yaln\u0131zca \u00f6zet istatistikleri hesaplamay\u0131 da se\u00e7ebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesi i\u00e7in “ekip” de\u011fi\u015fkenine g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir \u00f6zet tablosu olu\u015fturmak amac\u0131yla defineBy()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n \u00c7\u0131kt\u0131, veri \u00e7er\u00e7evesindeki \u00fc\u00e7 tak\u0131m\u0131n her biri i\u00e7in \u00f6zet istatistikleri g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n R’deki be\u015f say\u0131n\u0131n \u00f6zeti nas\u0131l hesaplan\u0131r<\/a> R’de \u00f6zet tablolar\u0131 olu\u015fturman\u0131n en kolay yolu, psych k\u00fct\u00fcphanesindeki tarif() ve tarifBy() i\u015flevlerini kullanmakt\u0131r. library (psych) #create summary table describe(df) #create summary table, grouped by a specific variable describeBy(df, group=df$var_name) A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonlar\u0131n pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: Temel bir \u00f6zet tablosu olu\u015fturun R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m: #create data frame […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1869","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (psych)<\/span>\n<\/span><\/span>\n#create summary table\n<\/span>describe(df)\n\n#create summary table, grouped by a specific variable<\/span>\ndescribeBy(df, group=df$var_name)\n<\/strong><\/pre>\n \u00d6rnek 1: Temel bir \u00f6zet tablosu olu\u015fturun<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'C', 'C', 'C'),\n points=c(15, 22, 29, 41, 30, 11, 19),\n rebounds=c(7, 8, 6, 6, 7, 9, 13),\n steals=c(1, 1, 2, 3, 5, 7, 5))\n\n#view data frame\n<\/span>df\n\n team points rebounds steals\n1 to 15 7 1\n2 A 22 8 1\n3 B 29 6 2\n4 B 41 6 3\n5 C 30 7 5\n6 C 11 9 7\n7 C 19 13 5<\/strong><\/pre>\n library<\/span> (psych)<\/span>\n\n<\/span><\/span>#create summary table\n<\/span>describe(df)\n\n vars n mean sd median trimmed mad min max range skew kurtosis\nteam* 1 7 2.14 0.90 2 2.14 1.48 1 3 2 -0.22 -1.90\npoints 2 7 23.86 10.24 22 23.86 10.38 11 41 30 0.33 -1.41\nrebounds 3 7 8.00 2.45 7 8.00 1.48 6 13 7 1.05 -0.38\nsteals 4 7 3.43 2.30 3 3.43 2.97 1 7 6 0.25 -1.73\n se\nteam* 0.34\npoints 3.87\nrebounds 0.93\nsteals 0.87\n<\/strong><\/pre>\n\n
#create smaller summary table\n<\/span>describe(df, fast= TRUE<\/span> )\n\n vars n mean sd min max range se\nteam 1 7 NaN NA Inf -Inf -Inf NA\npoints 2 7 23.86 10.24 11 41 30 3.87\nrebounds 3 7 8.00 2.45 6 13 7 0.93\nsteals 4 7 3.43 2.30 1 7 6 0.87<\/strong><\/pre>\n #create summary table for just 'points' and 'rebounds' columns\n<\/span>describe(df[, c(' points<\/span> ', ' rebounds<\/span> ')], fast= TRUE<\/span> )\n\n vars n mean sd min max range se\npoints 1 7 23.86 10.24 11 41 30 3.87\nrebounds 2 7 8.00 2.45 6 13 7 0.93<\/strong><\/pre>\n \u00d6rnek 2: belirli de\u011fi\u015fkene g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir \u00f6zet tablosu olu\u015fturun<\/strong><\/span><\/h3>\n
#create summary table, grouped by 'team' variable\n<\/span>describeBy(df, group=df$team, fast= TRUE<\/span> )\n\n Descriptive statistics by group \ngroup: A\n vars n mean sd min max range se\nteam 1 2 NaN NA Inf -Inf -Inf NA\npoints 2 2 18.5 4.95 15 22 7 3.5\nrebounds 3 2 7.5 0.71 7 8 1 0.5\nsteals 4 2 1.0 0.00 1 1 0 0.0\n-------------------------------------------------- ---------- \ngroup: B\n vars n mean sd min max range se\nteam 1 2 NaN NA Inf -Inf -Inf NA\npoints 2 2 35.0 8.49 29 41 12 6.0\nrebounds 3 2 6.0 0.00 6 6 0 0.0\nsteals 4 2 2.5 0.71 2 3 1 0.5\n-------------------------------------------------- ---------- \ngroup: C\n vars n mean sd min max range se\nteam 1 3 NaN NA Inf -Inf -Inf NA\npoints 2 3 20.00 9.54 11 30 19 5.51\nrebounds 3 3 9.67 3.06 7 13 6 1.76\nsteals 4 3 5.67 1.15 5 7 2 0.67\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de grup ba\u015f\u0131na ortalama nas\u0131l hesaplan\u0131r<\/a>
R’de gruba g\u00f6re toplam nas\u0131l hesaplan\u0131r<\/a>
R’deki varyans nas\u0131l hesaplan\u0131r<\/a>
R’de kovaryans matrisi nas\u0131l olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"