Suggested reading An Introduction to R, section 5.3
The Posting Guide, mentioned at the bottom of this message, which mentions that this is a pain text mailing list so don't post in HTML (it gets mangled). -- Sent from my phone. Please excuse my brevity. On March 24, 2016 10:09:46 PM PDT, Hiroyuki Sato <hiroys...@gmail.com> wrote: >Hello Ulrik > >Thank you for replying. > >The real data has many IDs( about 3,000 IDS). So I want to find missing >values with function or something. >If 104 not in s, then add 104 value with all column zero. > >And also real data has many columns( 80 ~ 5,000, columns. it is not >fixed >length ). >So I would like to add values with function or something too > >ex) I can't write following statement. >data.frame(ID = c(104, 105), PDT1 = 0, PDT2 = 0, PDT3 = 0, ... PDT5000 >= >0) > >Do you have any good idea? > >Regards. > > > > >2016年3月25日(金) 13:58 Ulrik Stervbo <ulrik.ster...@gmail.com>: > >> Hi Hiroyuki, >> >> The row bind function rbind() is what you need >> >> s <- dcast(s,ID ~ CODE, value.var="VAR",sum) >> df2 <- data.frame(ID = c(104, 105), PDT1 = 0, PDT2 = 0, PDT3 = 0) >> rbind(s, df2) >> >> hope this helps >> Ulrik >> >> On Fri, 25 Mar 2016 at 05:52 Hiroyuki Sato <hiroys...@gmail.com> >wrote: >> >>> Hello members >>> >>> Question >>> >>> Could you tell me how to add ID 100, 104, 105 values with zero? >>> >>> 1, Source data >>> >>> >>> ID 100, 104 and 105 has no values. >>> >>> >>> > s >>> ID DATE VAR CODE >>> 1 101 20160301 1 PDT1 >>> 2 102 20160301 1 PDT2 >>> 3 103 20160301 1 PDT3 >>> 4 103 20160302 1 PDT3 >>> >>> s <- structure(list(ID = c(101L, 102L, 103L, 103L), DATE = >c(20160301L, >>> 20160301L, 20160301L, 20160302L), VAR = c(1L, 1L, 1L, 1L), CODE = >>> structure(c(1L, >>> 2L, 3L, 3L), .Label = c("PDT1", "PDT2", "PDT3"), class = "factor")), >>> .Names >>> = c("ID", >>> "DATE", "VAR", "CODE"), class = "data.frame", row.names = c(NA, >>> -4L)) >>> >>> src <- 100:106 >>> >>> >>> 2, Expect output >>> >>> ID PDT1 PDT2 PDT3 >>> 1 100 0 0 0 >>> 2 101 1 0 0 >>> 3 102 0 1 0 >>> 4 103 0 0 2 >>> 5 104 0 0 0 >>> 6 105 0 0 0 >>> >>> 3, Convert process. >>> >>> I can convert data "s" like following. >>> >>> > library(reshape2) >>> > dcast(s,ID ~ CODE, value.var="VAR",sum) >>> ID PDT1 PDT2 PDT3 >>> 1 101 1 0 0 >>> 2 102 0 1 0 >>> 3 103 0 0 2 >>> >>> Could you tell me how to add 100, 104, 105 values into convert >results? >>> >>> >>> Regards. >>> >>> [[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. >>> >> > > [[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. [[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.