{"id":9123,"date":"2022-09-17T07:32:35","date_gmt":"2022-09-17T02:02:35","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-matching-a-value-in-one-column-to-the-name-of-another-column-closed\/"},"modified":"2022-09-17T07:32:35","modified_gmt":"2022-09-17T02:02:35","slug":"solved-matching-a-value-in-one-column-to-the-name-of-another-column-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-matching-a-value-in-one-column-to-the-name-of-another-column-closed\/","title":{"rendered":"[Solved] Matching a value in one column to the name of another column [closed]"},"content":{"rendered":"

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We can use row\/column<\/code> indexing to extract the elements from the first dataset and create the ‘result’ column in ‘d2’<\/p>\n

d2$result <- d1[-1][cbind(1:nrow(d1), match(d2$mycol, names(d1)[-1]))]\nd2\n#  mycol result\n#1     a     40\n#2   bxb     88\n#3   bxb     76\n#4    ct     33\n<\/code><\/pre>\n
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It could be also that there is a single dataset available i.e. ‘d1’ and want to get the ‘d2’.  In that case, do a melt<\/code> and subset<\/code><\/p>\n
library(reshape2)\nsubset(melt(d1, id.var=\"mycol\"), mycol==variable, select= c(1,3))\n<\/code><\/pre>\n
data<\/h3>\n
d1 <- data.frame(mycol = c(\"a\", \"bxb\", \"bxb\", \"ct\"), a = c(40, 8, 43, 94), \n `bxb` =c(7, 88, 76, 12), ct = c(4,6, 8954, 33), stringsAsFactors=FALSE, \n check.names=FALSE) \nd2 <- data.frame(mycol = c('a', 'bxb', 'bxb', 'c'), stringsAsFactors=FALSE)\n<\/code><\/pre>\n<\/p><\/div>\n
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            0<\/span> <\/p><\/div>\n<\/div>\n
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solved Matching a value in one column to the name of another column [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] We can use row\/column indexing to extract the elements from the first dataset and create the ‘result’ column in ‘d2’ d2$result <- d1[-1][cbind(1:nrow(d1), match(d2$mycol, names(d1)[-1]))] d2 # mycol result #1 a 40 #2 bxb 88 #3 bxb 76 #4 ct 33 It could be also that there is a single dataset available i.e. ‘d1’ … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[321],"class_list":["post-9123","post","type-post","status-publish","format-standard","hentry","category-solved","tag-r"],"yoast_head":"\n[Solved] Matching a value in one column to the name of another column [closed] - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-matching-a-value-in-one-column-to-the-name-of-another-column-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Matching a value in one column to the name of another column [closed] - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] We can use row\/column indexing to extract the elements from the first dataset and create the ‘result’ column in ‘d2’ d2$result <- d1[-1][cbind(1:nrow(d1), match(d2$mycol, names(d1)[-1]))] d2 # mycol result #1 a 40 #2 bxb 88 #3 bxb 76 #4 ct 33 It could be also that there is a single dataset available i.e. ‘d1’ ... 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