{"id":5158,"date":"2022-08-27T00:36:01","date_gmt":"2022-08-26T19:06:01","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-combine-duplicates-do-not-publish-blanks-dplyrdistinct\/"},"modified":"2022-08-27T00:36:01","modified_gmt":"2022-08-26T19:06:01","slug":"solved-combine-duplicates-do-not-publish-blanks-dplyrdistinct","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-combine-duplicates-do-not-publish-blanks-dplyrdistinct\/","title":{"rendered":"[Solved] combine duplicates, do not publish blanks, dplyr::distinct"},"content":{"rendered":"

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Perhaps the reason that you are having problems is that you are using empty strings when you should be using NAs. This is what I would assume is the idiomatic code. <\/p>\n

df <- data.frame(unique_id = c(rep(1,3),rep(2,3)),\n                school = c(rep('great',3),rep('spring',3)),\n                           subject = rep(c(\"Math\", \"English\", \"History\"),2),\n                           grade = c(88,78,98,65,72,84),\n                           sex = c(NA,NA, \"male\", NA, \"female\", NA))\n\nr2 <- df %>%\n  group_by(unique_id) %>% \n  summarise_each(funs(toString(unique(.))))\n<\/code><\/pre>\n
which returns <\/p>\n
# A tibble: 2 x 5\n  unique_id school                subject      grade        sex\n      <dbl>  <chr>                  <chr>      <chr>      <chr>\n1         1  great Math, English, History 88, 78, 98   NA, male\n2         2 spring Math, English, History 65, 72, 84 NA, female\n<\/code><\/pre>\n
You can always <\/p>\n
 r2$sex <- sapply(stringr::str_split(r2$sex, \", \"),\"[\",2)\n<\/code><\/pre>\n
afterwards if you really<\/strong> want to remove those NAs, but I see them as informative. <\/p>\n
You can write your own function to supply to summarize_each<\/code>, which will allow you to take care of NAs in any column. Note, that you only need to do this because unique<\/code>, rightfully so, does not have an na.rm<\/code> argument.<\/p>\n
rm_na_unique <- function(vec){\n  unique(vec[!is.na(vec)])\n}\n\nr2 <- df %>%\n       group_by(unique_id) %>% \n       summarise_each(funs(toString(rm_na_unique(.))))\n<\/code><\/pre>\n
Gives you the same result<\/p>\n
# A tibble: 2 x 5\n  unique_id school                subject      grade    sex\n      <dbl>  <chr>                  <chr>      <chr>  <chr>\n1         1  great Math, English, History 88, 78, 98   male\n2         2 spring Math, English, History 65, 72, 84 female\n<\/code><\/pre>\n<\/p><\/div>\n
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            3<\/span> <\/p><\/div>\n<\/div>\n
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solved combine duplicates, do not publish blanks, dplyr::distinct <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] Perhaps the reason that you are having problems is that you are using empty strings when you should be using NAs. This is what I would assume is the idiomatic code. df <- data.frame(unique_id = c(rep(1,3),rep(2,3)), school = c(rep(‘great’,3),rep(‘spring’,3)), subject = rep(c(“Math”, “English”, “History”),2), grade = c(88,78,98,65,72,84), sex = c(NA,NA, “male”, NA, “female”, NA)) … 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":[1256,321],"class_list":["post-5158","post","type-post","status-publish","format-standard","hentry","category-solved","tag-dplyr","tag-r"],"yoast_head":"\n[Solved] combine duplicates, do not publish blanks, dplyr::distinct - 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-combine-duplicates-do-not-publish-blanks-dplyrdistinct\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] combine duplicates, do not publish blanks, dplyr::distinct - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Perhaps the reason that you are having problems is that you are using empty strings when you should be using NAs. This is what I would assume is the idiomatic code. df <- data.frame(unique_id = c(rep(1,3),rep(2,3)), school = c(rep('great',3),rep('spring',3)), subject = rep(c("Math", "English", "History"),2), grade = c(88,78,98,65,72,84), sex = c(NA,NA, "male", NA, "female", NA)) ... 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This is what I would assume is the idiomatic code. df <- data.frame(unique_id = c(rep(1,3),rep(2,3)), school = c(rep('great',3),rep('spring',3)), subject = rep(c(\"Math\", \"English\", \"History\"),2), grade = c(88,78,98,65,72,84), sex = c(NA,NA, \"male\", NA, \"female\", NA)) ... 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