{"id":1955,"date":"2023-07-24T07:42:01","date_gmt":"2023-07-24T07:42:01","guid":{"rendered":"https:\/\/statorials.org\/ar\/r-%d8%a7%d9%95%d8%b2%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81-%d9%85%d8%b9-na-%d9%81%d9%8a-%d8%b9%d9%85%d9%88%d8%af-%d9%88%d8%a7%d8%ad%d8%af\/"},"modified":"2023-07-24T07:42:01","modified_gmt":"2023-07-24T07:42:01","slug":"r-%d8%a7%d9%95%d8%b2%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81-%d9%85%d8%b9-na-%d9%81%d9%8a-%d8%b9%d9%85%d9%88%d8%af-%d9%88%d8%a7%d8%ad%d8%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/r-%d8%a7%d9%95%d8%b2%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%b5%d9%81%d9%88%d9%81-%d9%85%d8%b9-na-%d9%81%d9%8a-%d8%b9%d9%85%d9%88%d8%af-%d9%88%d8%a7%d8%ad%d8%af\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0645\u0639 na \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0641\u064a r"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062b\u0644\u0627\u062b \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u062d\u062f\u062f \u0644\u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a R:<\/span><\/p>\n

 #use is.na() method<\/span>\ndf[!is. na<\/span> (df$col_name),]\n\n#use subset() method\n<\/span>subset(df, !is. na<\/span> (col_name))\n\n#use tidyr method\n<\/span>library<\/span> (tidyr)\ndf %>% drop_na(col_name)\n<\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \u0633\u0648\u0641 \u062a\u0646\u062a\u062c \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u0627\u0626\u062c.<\/span><\/p>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 #create data frame<\/span>\ndf <- data. frame<\/span> (a = c(NA, 14, 19, 22, 26),\n                 b = c(14, NA, 9, NA, 5),\n                 c = c(45, 56, 54, 57, 59))\n\n#view data frame<\/span><\/strong>\ndf<\/strong><\/span>\n\nABC\n1 NA 14 45\n2 14 NA 56\n3 19 9 54\n4 22 NA 57\n5 26 5 59\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 is.na()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0645\u0646 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0642\u064a\u0645 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0637\u0631\u064a\u0642\u0629 is.na()<\/strong> :<\/span><\/p>\n
 #remove rows from data frame with NA values in column 'b'<\/span>\ndf[!is. na<\/span> (df$b),]\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629 ()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0645\u0646 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0642\u064a\u0645 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629 ()<\/strong> :<\/span><\/p>\n
 #remove rows from data frame with NA values in column 'b'<\/span>\nsubset(df, !is. na<\/span> (b))\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \u0625\u0633\u0642\u0627\u0637 \u0627\u0644\u0635\u0641\u0648\u0641 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 NA \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 drop_na()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0633\u0642\u0627\u0637 \u0627\u0644\u0635\u0641\u0648\u0641 \u0645\u0646 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0642\u064a\u0645 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0637\u0631\u064a\u0642\u0629 drop_na()<\/strong> :<\/span><\/p>\n
 library<\/span> (tidyr)<\/span>\n\n#remove rows from data frame with NA values in column 'b'<\/span>\ndf %>% drop_na(b)\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59<\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0645\u0646 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062b\u0644\u0627\u062b \u0623\u0639\u0637\u062a \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u064a\u062c\u0629.<\/span><\/span><\/p>\n
 \u0645\u0644\u0627\u062d\u0638\u0629:<\/strong> \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a \u0644\u0637\u0631\u064a\u0642\u0629 drop_na() \u0647\u0646\u0627<\/a> .<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u062a\u0637\u0628\u064a\u0642 \u0648\u0638\u064a\u0641\u0629 \u0639\u0644\u0649 \u0643\u0644 \u0635\u0641 \u0645\u0646 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0623\u0631\u0642\u0627\u0645 \u0627\u0644\u0623\u0633\u0637\u0631 \u0641\u064a R
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u0625\u0644\u0649 \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062b\u0644\u0627\u062b \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u062d\u062f\u062f \u0644\u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a R: #use is.na() method df[!is. na (df$col_name),] #use subset() method subset(df, !is. na (col_name)) #use tidyr method library (tidyr) df %>% drop_na(col_name) \u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \u0633\u0648\u0641 \u062a\u0646\u062a\u062c \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u0627\u0626\u062c. \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 […]<\/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":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0641\u064a R - Statorials<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0630\u0627\u062a \u0642\u064a\u0645 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u062d\u062f\u062f \u0644\u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a R\u060c \u0645\u0639 \u0627\u0644\u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/r-\u0627\u0655\u0632\u0627\u0644\u0629-\u0627\u0644\u0635\u0641\u0648\u0641-\u0645\u0639-na-\u0641\u064a-\u0639\u0645\u0648\u062f-\u0648\u0627\u062d\u062f\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 NA \u0641\u064a \u0639\u0645\u0648\u062f \u0645\u0639\u064a\u0646 \u0641\u064a R - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 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