<\/p>\n
\u0130statistikte kantiller<\/strong> , s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f bir veri setini e\u015fit gruplara b\u00f6len de\u011ferlerdir.<\/span><\/p>\n R’de belirli bir de\u011fi\u015fkene g\u00f6re grupland\u0131r\u0131lm\u0131\u015f y\u00fczdelik dilimleri hesaplamak i\u00e7in R’deki dplyr<\/a> paketindeki a\u015fa\u011f\u0131daki i\u015flevleri kullanabiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, R’deki bir veri k\u00fcmesi i\u00e7in tak\u0131ma g\u00f6re grupland\u0131r\u0131lm\u0131\u015f galibiyet say\u0131s\u0131n\u0131n y\u00fczdelik dilimlerinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Ayr\u0131ca istedi\u011fimiz say\u0131da niceli\u011fi de belirtebilece\u011fimizi unutmay\u0131n:<\/span><\/p>\n Ayr\u0131ca grup ba\u015f\u0131na tek bir y\u00fczdelik dilim hesaplamay\u0131 da se\u00e7ebilirsiniz. \u00d6rne\u011fin, her tak\u0131m\u0131n galibiyet say\u0131s\u0131n\u0131n 90’\u0131nc\u0131 y\u00fczdelik dilimini \u015fu \u015fekilde hesaplayabilirsiniz:<\/span><\/span><\/p>\n R’de \u00e7eyrekler nas\u0131l hesaplan\u0131r<\/a> \u0130statistikte kantiller , s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f bir veri setini e\u015fit gruplara b\u00f6len de\u011ferlerdir. R’de belirli bir de\u011fi\u015fkene g\u00f6re grupland\u0131r\u0131lm\u0131\u015f y\u00fczdelik dilimleri hesaplamak i\u00e7in R’deki dplyr paketindeki a\u015fa\u011f\u0131daki i\u015flevleri kullanabiliriz: library (dplyr) #define quantiles of interest q = c(.25, .5, .75) #calculate quantiles by grouping variable df %>% group_by(grouping_variable) %>% summarize(quant25 = quantile (numeric_variable, probs = q[1]), quant50 […]<\/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-1619","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)\n\n#define quantiles of interest\n<\/span>q = c(.25, .5, .75)\n\n#calculate quantiles by grouping variable\n<\/span>df %>%\n group_by(grouping_variable) %>%\n summarize(quant25 = quantile<\/span> (numeric_variable, probs = q[1]), \n quant50 = quantile<\/span> (numeric_variable, probs = q[2]),\n quant75 = quantile<\/span> (numeric_variable, probs = q[3]))\n<\/strong><\/pre>\n \u00d6rnekler: R’de gruba g\u00f6re nicelikler<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#create data\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',\n 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B',\n 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'),\n wins=c(2, 4, 4, 5, 7, 9, 13, 13, 15, 15, 14, 13,\n 11, 9, 9, 8, 8, 16, 19, 21, 24, 20, 19, 18))\n\n#view first six rows of data<\/span>\nhead(df)\n\n team wins\n1 TO 2\n2 to 4\n3 to 4\n4 to 5\n5 TO 7\n6 to 9\n\n#define quantiles of interest\n<\/span>q = c(.25, .5, .75)\n\n#calculate quantiles by grouping variable\n<\/span>df %>%\n group_by(team) %>%\n summarize(quant25 = quantile<\/span> (wins, probs = q[1]), \n quant50 = quantile<\/span> (wins, probs = q[2]),\n quant75 = quantile<\/span> (wins, probs = q[3]))\n\n team quant25 quant50 quant75 \n1 to 4 6 10 \n2 B 9 12 14.2\n3 C 17.5 19 20.2\n<\/strong><\/pre>\n #define quantiles of interest\n<\/span>q = c(.2, .4, .6, .8)\n\n#calculate quantiles by grouping variable\n<\/span>df %>%\n group_by(team) %>%\n summarize(quant20 = quantile<\/span> (wins, probs = q[1]), \n quant40 = quantile<\/span> (wins, probs = q[2]),\n quant60 = quantile<\/span> (wins, probs = q[3]),\n quant80 = quantile<\/span> (wins, probs = q[4]))\n\n team quant20 quant40 quant60 quant80\n \n1 to 4 4.8 7.4 11.4\n2 B 9 10.6 13.2 14.6\n3 C 16.8 18.8 19.2 20.6\n<\/strong><\/pre>\n #calculate 90th percentile of wins by team\n<\/span>df %>%\n group_by(team) %>%\n summarize(quant90 = quantile<\/span> (wins, probs = 0.9<\/span> ))\n\n team quant90\n \n1 to 13 \n2 B 15 \n3 C 21.9\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de ondal\u0131k say\u0131lar nas\u0131l hesaplan\u0131r<\/a>
R’de y\u00fczdelikler nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"