![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kde2.png\")
<\/p>\n
\u00c7ekirdek yo\u011funlu\u011fu grafi\u011fi histograma<\/a> benzer, ancak histogramda kullan\u0131lan kutu say\u0131s\u0131ndan etkilenmedi\u011fi i\u00e7in da\u011f\u0131l\u0131m\u0131n \u015feklini g\u00f6stermede daha da iyidir.<\/span><\/p>\n R’de \u00e7ekirdek yo\u011funluk grafi\u011fi olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabiliriz:<\/span><\/p>\n Y\u00f6ntem 1: Tek \u00e7ekirdek yo\u011funluk grafi\u011fi olu\u015fturma<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Dolu \u00c7ekirdek Yo\u011funlu\u011fu Grafi\u011fi Olu\u015fturma<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Birden \u00c7ok \u00c7ekirdek Yo\u011funlu\u011fu Grafi\u011fi Olu\u015fturun<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin 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 \u00e7ekirdek yo\u011funlu\u011fu grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n X ekseni veri k\u00fcmesindeki de\u011ferleri, y ekseni ise her de\u011ferin g\u00f6receli s\u0131kl\u0131\u011f\u0131n\u0131 g\u00f6sterir. Grafikteki en y\u00fcksek noktalar, de\u011ferlerin en s\u0131k nerede g\u00f6r\u00fcnd\u00fc\u011f\u00fcn\u00fc g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, belirli bir kenarl\u0131k rengi ve dolgu rengiyle \u00e7ekirdek yo\u011funlu\u011fu grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, R’de tek bir grafikte birden fazla \u00e7ekirdek yo\u011funlu\u011fu grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Tek bir grafikte istedi\u011fimiz say\u0131da \u00e7ekirdek yo\u011funlu\u011fu grafi\u011fi olu\u015fturmak i\u00e7in benzer s\u00f6zdizimini kullanabilece\u011fimizi unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak grafiklerin nas\u0131l olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de birden fazla kutu grafi\u011fi nas\u0131l \u00e7izilir<\/a> \u00c7ekirdek yo\u011funlu\u011fu grafi\u011fi, s\u00fcrekli bir e\u011fri kullanarak bir veri k\u00fcmesindeki de\u011ferlerin da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6r\u00fcnt\u00fcleyen bir grafik t\u00fcr\u00fcd\u00fcr. \u00c7ekirdek yo\u011funlu\u011fu grafi\u011fi histograma benzer, ancak histogramda kullan\u0131lan kutu say\u0131s\u0131ndan etkilenmedi\u011fi i\u00e7in da\u011f\u0131l\u0131m\u0131n \u015feklini g\u00f6stermede daha da iyidir. R’de \u00e7ekirdek yo\u011funluk grafi\u011fi olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabiliriz: Y\u00f6ntem 1: Tek \u00e7ekirdek yo\u011funluk grafi\u011fi olu\u015fturma #define kernel density kd <- […]<\/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-2437","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #define kernel density<\/span>\nkd <- density(data)\n\n#create kernel density plot<\/span>\nplot(kd)\n<\/strong><\/pre>\n #define kernel density<\/span>\nkd <- density(data)\n\n#create kernel density plot<\/span>\nplot(kd)\n\n#fill in kernel density plot with specific color<\/span>\npolygon(kd, col=' blue<\/span> ', border=' black<\/span> ')\n<\/strong><\/pre>\n #plot first kernel density plot<\/span>\nkd1 <- density(data1)\nplot(kd1, col=' blue<\/span> ')\n\n#plot second kernel density plot<\/span>\nkd2 <- density(data2)\nlines(kd2, col=' red<\/span> ')\n\n#plot third kernel density plot<\/span>\nkd3 <- density(data3)\nlines(kd3, col=' purple<\/span> ')\n\n...<\/strong><\/pre>\n Y\u00f6ntem 1: Tek \u00e7ekirdek yo\u011funluk grafi\u011fi olu\u015fturma<\/strong><\/span><\/h3>\n
#create data\ndata <- c(3, 3, 4, 4, 5, 6, 7, 7, 7, 8, 12, 13, 14, 17, 19, 19)<\/span>\n\n#define kernel density<\/span>\nkd <- density(data)\n\n#create kernel density plot<\/span>\nplot(kd, main=' Kernel Density Plot of Data<\/span> ')<\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kde1.png\")
<\/p>\n Y\u00f6ntem 2: Dolu \u00c7ekirdek Yo\u011funlu\u011fu Grafi\u011fi Olu\u015fturma<\/strong><\/span><\/h3>\n
#create data\ndata <- c(3, 3, 4, 4, 5, 6, 7, 7, 7, 8, 12, 13, 14, 17, 19, 19)<\/span>\n\n#define kernel density<\/span>\nkd <- density(data)\n\n#create kernel density plot<\/span>\nplot(kd)\n\n#add color<\/span>\npolygon(kd, col=' steelblue<\/span> ', border=' black<\/span> ')\n<\/strong><\/pre>\n<\/p>\n Y\u00f6ntem 3: Birden \u00c7ok \u00c7ekirdek Yo\u011funlu\u011fu Grafi\u011fi Olu\u015fturun<\/strong><\/span><\/h3>\n
#create datasets\ndata1 <- c(3, 3, 4, 4, 5, 6, 7, 7, 7, 8, 12, 13, 14, 17, 19, 19)\ndata2 <- c(12, 3, 14, 14, 4, 5, 6, 10, 14, 7, 7, 8, 10, 12, 17, 20)\n\n#plot first kernel density plot\n<\/span>kd1 <- density(data1)\nplot(kd1, col=' blue<\/span> ', lwd= 2<\/span> )\n\n#plot second kernel density plot\n<\/span>kd2 <- density(data2)\nlines(kd2, col=' red<\/span> ', lwd= 2<\/span> )<\/span><\/span><\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kde3.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de birden fazla histogram nas\u0131l \u00e7izilir<\/a>
R’de birden fazla \u00e7izgi nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"