{"id":3969,"date":"2023-07-14T11:04:38","date_gmt":"2023-07-14T11:04:38","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-30-numarali-kutulari-kullanan-uyari-stat_bin\/"},"modified":"2023-07-14T11:04:38","modified_gmt":"2023-07-14T11:04:38","slug":"r-30-numarali-kutulari-kullanan-uyari-stat_bin","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-30-numarali-kutulari-kullanan-uyari-stat_bin\/","title":{"rendered":"R uyar\u0131s\u0131 nas\u0131l ele al\u0131n\u0131r: bins = 30 kullan\u0131larak stat_bin()"},"content":{"rendered":"

<\/p>\n

\n

R’de kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir uyar\u0131:<\/span><\/p>\n

 `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n<\/strong><\/pre>\n
 Bu uyar\u0131, ggplot2’de bir histogram olu\u015fturmak i\u00e7in geom_histogram()<\/strong> i\u015flevini kulland\u0131\u011f\u0131n\u0131zda ve histogramda kullan\u0131lacak grup say\u0131s\u0131n\u0131 belirleyemedi\u011finizde g\u00f6r\u00fcn\u00fcr.<\/span><\/p>\n
 Bu uyar\u0131y\u0131 \u00f6nlemek i\u00e7in, kullan\u0131lacak bin say\u0131s\u0131n\u0131 belirtmek \u00fczere bins<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz:<\/span><\/p>\n
 ggplot(df, aes(x=my_variable)) +\n  geom_histogram(bins= 10<\/span> )<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekte bu uyar\u0131n\u0131n pratikte nas\u0131l \u00f6nlenebilece\u011fi g\u00f6sterilmektedir.<\/span><\/span><\/p>\n
 \u00d6rnek: bins = 30 kullan\u0131larak stat_bins() uyar\u0131s\u0131 nas\u0131l \u00f6nlenir<\/strong><\/h2>\n
 Veri \u00e7er\u00e7evesindeki bir de\u011fi\u015fken i\u00e7in histogram olu\u015fturmak amac\u0131yla ggplot2’nin geom_histogram()<\/strong> i\u015flevini kulland\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#make this example reproducible\n<\/span>set. seed<\/span> ( 0<\/span> )\n\n#create data frame\n<\/span>df <- data. frame<\/span> (my_values = rnorm( 1000<\/span> ))\n\n#view head of data frame\n<\/span>head(df)\n\n   my_values\n1 1.2629543\n2 -0.3262334\n3 1.3297993\n4 1.2724293\n5 0.4146414\n6 -1.5399500\n\n#create histogram\n<\/span>ggplot(df, aes(x=my_values)) +\n  geom_histogram(col=' black<\/span> ', fill=' steelblue<\/span> ')\n\n`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 `bins = 30` kullanarak `stat_bin()` uyar\u0131s\u0131n\u0131 ald\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n. ‘Binwidth’ ile daha iyi bir de\u011fer se\u00e7in.<\/strong><\/span><\/p>\n
 Bunun sadece bir uyar\u0131 oldu\u011funu ve histogram\u0131n hala ggplot2 taraf\u0131ndan olu\u015fturuldu\u011funu unutmamak gerekir.<\/span><\/p>\n
 Ancak histogramda kullan\u0131lacak bin say\u0131s\u0131n\u0131 belirtmek i\u00e7in geom_histogram()’<\/strong> daki bins<\/strong> arg\u00fcman\u0131n\u0131 kullanarak bu uyar\u0131y\u0131 tamamen \u00f6nleyebiliriz.<\/span><\/p>\n
 \u00d6rne\u011fin histogram i\u00e7in 10<\/strong> kutu kullanmak \u00fczere a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n
 #create histogram with 10 bins\n<\/span>ggplot(df, aes(x=my_values)) +\n  geom_histogram(col=' black<\/span> ', fill=' steelblue<\/span> ', bins= 10<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Bu sefer herhangi bir uyar\u0131 mesaj\u0131 almad\u0131\u011f\u0131m\u0131z\u0131 ve histogram\u0131n tam olarak 10 kutu i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/p>\n
 Ne kadar az kutu kullan\u0131rsan\u0131z her kutunun o kadar geni\u015f olaca\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n
 \u00d6rne\u011fin, bunun yerine 5<\/strong> kutu kullanabiliriz:<\/span> <\/p>\n
 #create histogram with 5 bins\n<\/span>ggplot(df, aes(x=my_values)) +\n  geom_histogram(col=' black<\/span> ', fill=' steelblue<\/span> ', bins= 5<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Bu histogramda daha az say\u0131da ancak daha b\u00fcy\u00fck gruplar\u0131n bulundu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Histogram\u0131n\u0131zda istedi\u011finiz kadar kutu kullanmaktan \u00e7ekinmeyin.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l \u00e7\u00f6z\u00fclece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 R’de nas\u0131l d\u00fczeltilir: Adlar \u00f6nceki adlarla e\u015fle\u015fmiyor<\/a>
 R’de nas\u0131l d\u00fczeltilir: Zorlamayla ortaya \u00e7\u0131kan NA’lar<\/a>
 R’de nas\u0131l onar\u0131l\u0131r: s\u0131n\u0131rlar\u0131n d\u0131\u015f\u0131na \u00e7\u0131kma ipucu<\/a>
 R’de nas\u0131l d\u00fczeltilir: kontrastlar yaln\u0131zca 2 veya daha fazla seviyeye sahip fakt\u00f6rlere uygulanabilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R’de kar\u015f\u0131la\u015fabilece\u011finiz yayg\u0131n bir uyar\u0131: `stat_bin()` using `bins = 30`. Pick better value with `binwidth`. Bu uyar\u0131, ggplot2’de bir histogram olu\u015fturmak i\u00e7in geom_histogram() i\u015flevini kulland\u0131\u011f\u0131n\u0131zda ve histogramda kullan\u0131lacak grup say\u0131s\u0131n\u0131 belirleyemedi\u011finizde g\u00f6r\u00fcn\u00fcr. Bu uyar\u0131y\u0131 \u00f6nlemek i\u00e7in, kullan\u0131lacak bin say\u0131s\u0131n\u0131 belirtmek \u00fczere bins ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz: ggplot(df, aes(x=my_variable)) + geom_histogram(bins= 10 ) A\u015fa\u011f\u0131daki \u00f6rnekte bu uyar\u0131n\u0131n […]<\/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-3969","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nR uyar\u0131s\u0131 nas\u0131l ele al\u0131n\u0131r: bins = 30 kullan\u0131larak stat_bin() - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, R'de a\u015fa\u011f\u0131daki uyar\u0131n\u0131n nas\u0131l ele al\u0131naca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r: `stat_bin()`, `bins = 30` kullan\u0131larak. 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