<\/p>\n
R’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata mesaj\u0131:<\/span><\/p>\n Bu hata genellikle R’de temel bile\u015fen analizini<\/a> ger\u00e7ekle\u015ftirmek i\u00e7in prcomp()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, kulland\u0131\u011f\u0131n\u0131z veri \u00e7er\u00e7evesindeki bir veya daha fazla s\u00fctun say\u0131sal olmad\u0131\u011f\u0131nda ortaya \u00e7\u0131kar.<\/span><\/p>\n Bu hataya ge\u00e7ici bir \u00e7\u00f6z\u00fcm bulman\u0131n iki yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1:<\/strong> Say\u0131sal olmayan s\u00fctunlar\u0131 say\u0131sal s\u00fctunlara d\u00f6n\u00fc\u015ft\u00fcrme<\/span><\/p>\n Y\u00f6ntem 2:<\/strong> Say\u0131sal olmayan s\u00fctunlar\u0131 veri \u00e7er\u00e7evesinden kald\u0131r\u0131n<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Bir karakter s\u00fctunu i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesinde temel bile\u015fen analizi yapmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Tak\u0131m<\/strong> s\u00fctunu, prcomp()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015f\u0131rken hataya neden olan bir karakter s\u00fctunudur.<\/span><\/p>\n Bu hatay\u0131 \u00f6nlemenin bir yolu , prcomp()<\/strong> i\u015flevini kullanmadan \u00f6nce tak\u0131m<\/strong> s\u00fctununu say\u0131sal bir s\u00fctuna d\u00f6n\u00fc\u015ft\u00fcrmektir:<\/span><\/p>\n Bu sefer herhangi bir hata alm\u0131yoruz \u00e7\u00fcnk\u00fc veri \u00e7er\u00e7evesindeki her s\u00fctun say\u0131sald\u0131r.<\/span><\/span><\/p>\n Hatay\u0131 \u00f6nlemenin ba\u015fka bir yolu da prcomp()<\/strong> i\u015flevini kullanmadan \u00f6nce say\u0131sal olmayan t\u00fcm s\u00fctunlar\u0131 veri \u00e7er\u00e7evesinden kald\u0131rmakt\u0131r<\/span> :<\/span><\/span><\/p>\n Yine veri \u00e7er\u00e7evesindeki her s\u00fctun say\u0131sal oldu\u011fundan herhangi bir hata alm\u0131yoruz.<\/span><\/p>\n Not<\/strong> : \u00c7o\u011fu durumda ilk y\u00f6ntem tercih edilen \u00e7\u00f6z\u00fcmd\u00fcr \u00e7\u00fcnk\u00fc belirli s\u00fctunlar\u0131 kald\u0131rmak yerine t\u00fcm verileri kullan\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de nas\u0131l d\u00fczeltilir: ba\u011f\u0131ms\u0131z de\u011fi\u015fkenler farkl\u0131 say\u0131da sat\u0131r i\u00e7erir<\/a> R’yi kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata mesaj\u0131: Error in colMeans(x, na.rm = TRUE): ‘x’ must be numeric Bu hata genellikle R’de temel bile\u015fen analizini ger\u00e7ekle\u015ftirmek i\u00e7in prcomp() i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, kulland\u0131\u011f\u0131n\u0131z veri \u00e7er\u00e7evesindeki bir veya daha fazla s\u00fctun say\u0131sal olmad\u0131\u011f\u0131nda ortaya \u00e7\u0131kar. Bu hataya ge\u00e7ici bir \u00e7\u00f6z\u00fcm bulman\u0131n iki yolu vard\u0131r: Y\u00f6ntem 1: Say\u0131sal olmayan s\u00fctunlar\u0131 […]<\/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-3962","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n Error in colMeans(x, na.rm = TRUE): 'x' must be numeric\n<\/strong><\/pre>\n
Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'C', 'B', 'C', 'B', 'B', 'C', 'A'),\n points=c(12, 8, 26, 25, 38, 30, 24, 24, 15),\n rebounds=c(10, 4, 5, 5, 4, 3, 8, 18, 22))\n\n#view data frame\n<\/span>df\n\n team points rebounds\n1 to 12 10\n2 to 8 4\n3 C 26 5\n4 B 25 5\n5 C 38 4\n6 B 30 3\n7 B 24 8\n8 C 24 18\n9 to 15 22\n\n#attempt to calculate principal components\n<\/span>prcomp(df)\n\nError in colMeans(x, na.rm = TRUE): 'x' must be numeric\n<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 1: Say\u0131sal olmayan s\u00fctunlar\u0131 say\u0131sal s\u00fctunlara d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h2>\n
#convert character column to numeric\n<\/span>df$team <- as. numeric<\/span> (as. factor<\/span> (df$team))\n\n#view updated data frame\n<\/span>df\n\n team points rebounds\n1 1 12 10\n2 1 8 4\n3 3 26 5\n4 2 25 5\n5 3 38 4\n6 2 30 3\n7 2 24 8\n8 3 24 18\n9 1 15 22\n\n#calculate main components\n<\/span>prcomp(df)\n\nStandard deviations (1, .., p=3):\n[1] 9.8252704 6.0990235 0.4880538\n\nRotation (nxk) = (3 x 3):\n PC1 PC2 PC3\nteam -0.06810285 0.04199272 0.99679417\npoints -0.91850806 0.38741460 -0.07907512\nrebounds 0.38949319 0.92094872 -0.01218661<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 2: Say\u0131sal olmayan s\u00fctunlar\u0131 veri \u00e7er\u00e7evesinden kald\u0131r\u0131n<\/strong><\/span><\/h2>\n
#remove non-numeric columns from data frame\n<\/span>df_new <- df[ , unlist(lapply(df, is. numeric<\/span> ))]\n\n#view new data frame\n<\/span>df_new\n\n rebound points\n1 12 10\n2 8 4\n3 26 5\n4 25 5\n5 38 4\n6 30 3\n7 24 8\n8 24 18\n9 15 22\n\n#calculate main components\n<\/span>prcomp(df_new)\n\nStandard deviations (1, .., p=2):\n[1] 9.802541 6.093638\n\nRotation (nxk) = (2 x 2):\n PC1 PC2\npoints 0.9199431 0.3920519\nrebounds -0.3920519 0.9199431\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de nas\u0131l d\u00fczeltilir: kullan\u0131lmayan ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerin se\u00e7iminde hata<\/a>
R’de nas\u0131l onar\u0131l\u0131r: de\u011fi\u015ftirmenin uzunlu\u011fu s\u0131f\u0131rd\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"