<\/p>\n
Mo\u017cesz u\u017cy\u0107 argumentu na.rm=TRUE<\/strong> , aby wykluczy\u0107 brakuj\u0105ce warto\u015bci podczas obliczania statystyk opisowych w R.<\/span><\/p>\n Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce u\u017cywa\u0107 tego argumentu z wektorami i ramkami danych.<\/span><\/p>\n Za\u0142\u00f3\u017cmy, \u017ce pr\u00f3bujemy obliczy\u0107 \u015bredni\u0105, sum\u0119, maksimum i odchylenie standardowe nast\u0119puj\u0105cego wektora w R, kt\u00f3ry zawiera brakuj\u0105ce warto\u015bci:<\/span><\/p>\n Ka\u017cda z tych funkcji zwraca warto\u015b\u0107 NA<\/strong> .<\/span><\/p>\n Aby wykluczy\u0107 brakuj\u0105ce warto\u015bci podczas wykonywania tych oblicze\u0144, mo\u017cemy po prostu do\u0142\u0105czy\u0107 argument na.rm = TRUE<\/strong> w nast\u0119puj\u0105cy spos\u00f3b:<\/span><\/p>\n Nale\u017cy pami\u0119ta\u0107, \u017ce uda\u0142o nam si\u0119 pomy\u015blnie wykona\u0107 ka\u017cde obliczenie, wykluczaj\u0105c brakuj\u0105ce warto\u015bci.<\/span><\/p>\n Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 danych w R, kt\u00f3ra zawiera brakuj\u0105ce warto\u015bci:<\/span><\/p>\n Mo\u017cemy u\u017cy\u0107 funkcji Apply()<\/strong> do obliczenia statystyk opisowych dla ka\u017cdej kolumny w ramce danych i u\u017cy\u0107 argumentu na.rm = TRUE<\/strong> , aby wykluczy\u0107 brakuj\u0105ce warto\u015bci podczas wykonywania tych oblicze\u0144:<\/span><\/p>\n Po raz kolejny uda\u0142o nam si\u0119 pomy\u015blnie uko\u0144czy\u0107 ka\u017cde obliczenie, wykluczaj\u0105c brakuj\u0105ce warto\u015bci.<\/span><\/p>\n Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykona\u0107 inne typowe zadania z brakuj\u0105cymi warto\u015bciami w R:<\/span><\/p>\n Jak u\u017cywa\u0107 is.null w R<\/a> Mo\u017cesz u\u017cy\u0107 argumentu na.rm=TRUE , aby wykluczy\u0107 brakuj\u0105ce warto\u015bci podczas obliczania statystyk opisowych w R. #calculate mean and exclude missing values mean(x, na. rm = TRUE ) #calculate sum and exclude missing values sum(x, na. rm = TRUE ) #calculate maximum and exclude missing values max(x, na. rm = TRUE ) #calculate standard deviation and […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1860","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\n #calculate mean and exclude missing values<\/span>\nmean(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate sum and exclude missing values<\/span> \nsum(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate maximum and exclude missing values<\/span> \nmax(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate standard deviation and exclude missing values<\/span> \nsd(x, na. rm<\/span> = TRUE<\/span> )\n<\/strong><\/pre>\n Przyk\u0142ad 1: U\u017cywanie na.rm z wektorami<\/strong><\/span><\/h3>\n
#define vector with some missing values<\/span>\nx <- c(3, 4, 5, 5, 7, NA, 12, NA, 16)\n\nmean(x)\n\n[1] NA\n\nsum(x)\n\n[1] NA\n\nmax(x)\n\n[1] NA\n\nsd(x)\n\n[1] NA\n<\/strong><\/pre>\n #define vector with some missing values<\/span>\nx <- c(3, 4, 5, 5, 7, NA, 12, NA, 16)\n\nmean(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 7.428571\n\nsum(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 52\n\nmax(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 16\n\nsd(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 4.790864\n<\/strong><\/pre>\n Przyk\u0142ad 2: U\u017cywanie na.rm z ramkami danych<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (var1=c(1, 3, 3, 4, 5),\n var2=c(7, 7, NA, 3, 2),\n var3=c(3, 3, NA, 6, 8),\n var4=c(1, 1, 2, 8, NA))\n\n#view data frame\n<\/span>df\n\n var1 var2 var3 var4\n1 1 7 3 1\n2 3 7 3 1\n3 3 NA NA 2\n4 4 3 6 8\n5 5 2 8 NA\n<\/strong><\/pre>\n #calculate mean of each column\napply(df, 2, mean, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n3.20 4.75 5.00 3.00 \n\n#calculate sum of each column<\/span>\napply(df, 2, sum, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n 16 19 20 12 \n\n#calculate max of each column<\/span>\napply(df, 2, max, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n 5 7 8 8 \n\n#calculate standard deviation of each column<\/span>\napply(df, 2, sd, na. rm<\/span> = TRUE<\/span> )\n\n var1 var2 var3 var4 \n1.483240 2.629956 2.449490 3.366502<\/span><\/span><\/strong><\/pre>\n Dodatkowe zasoby<\/strong><\/span><\/h3>\n
Jak u\u017cywa\u0107 na.omit w R<\/a>
Jak u\u017cywa\u0107 is.na w R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"