Hi Your question posted in HTML is somewhat scrambled. Based on what I understand from it, maybe you shall inspect ?merge.
Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Web Web > Sent: Friday, December 18, 2015 8:15 PM > To: r-help@r-project.org > Subject: [R] Help needed in data cleaning > > Hello, > I need some help in data cleaning using R. my CSV file looks > as > follows. > > "id","gender","age","category1","category2","category3","category4","ca > tegory5","category6","category7","category8","category9","category10"1, > "Male",22,"movies","music","travel","cloths","grocery",,,,,2,"Male",28, > "travel","books","movies",,,,,,,3,"Female",27,"rent","fuel","grocery"," > cloths",,,,,,4,"Female",22,"rent","grocery","travel","movies","cloths", > ,,,,5,"Female",22,"rent","online-shopping","utiliy",,,,,,, > > I need to reformat as follows. > > id gender age category rank1 Male 22 movies > 11 Male 22 music 21 Male 22 travel > 31 Male 22 cloths 41 Male 22 grocery > 51 Male 22 books NA1 Male 22 rent > NA1 Male 22 fuel NA1 Male 22 utility > NA1 Male 22 online-shopping NA > ...................................5 Female 22 movies > NA5 Female 22 music NA5 Female 22 travel > NA5 Female 22 cloths NA5 Female 22 grocery > NA5 Female 22 books NA5 Female 22 rent > 15 Female 22 fuel NA5 Female 22 utility > NA5 Female 22 online-shopping 2 > > So far My efforts are as follows. > > mini <- read.csv("~/MS/coding/mini.csv", header=FALSE) > mini_clean <- mini[-1,] > df_mini <- melt(df_clean, id.vars=c("V1","V2","V3")) > sqldf('select * from df_mini order by "V1"') > > Now I want to know what is the best way to fill all missing categories > for > all users. > > Thanks > Nash > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. 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