Hello, For column J, ave/seq_along seems to be the simplest. For column I, ave is also a good option, it avoids split/lapply. xx$I <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = function(x){ c(rep(1, length(x) - 1), max(length(x))) }) xx$J <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = seq_along) Hope this helps, ?s 11:49 de 30/04/21, PIKAL Petr escreveu:> Hallo, > > Sorry, my suggestion did not worked in your case correctly as split used > natural factor ordering. > > So using Jim's data, this results in desired output. > > #prepare factor in original ordering > ff <- factor(xx[,1], levels=unique(xx[,1])) > lll <- split(xx$COMPANY_NUMBER, ff) > xx$I <- unlist(lapply(lll, function(x) c(rep(1, length(x)-1), > max(length(x)))),use.names=FALSE) > xx$J <- unlist(lapply(lll, function(x) 1:length(x)), use.names=FALSE) >> xx > COMPANY_NUMBER NUMBER_OF_YEARS I J > 1 70837 3 1 1 > 2 70837 3 1 2 > 3 70837 3 3 3 > 4 1000403 4 1 1 > 5 1000403 4 1 2 > 6 1000403 4 1 3 > 7 1000403 4 4 4 > 8 10029943 3 1 1 > 9 10029943 3 1 2 > 10 10029943 3 3 3 > 11 10037980 4 1 1 > 12 10037980 4 1 2 > 13 10037980 4 1 3 > 14 10037980 4 4 4 > 15 10057418 3 1 1 > 16 10057418 3 1 2 > 17 10057418 3 3 3 > 18 1009550 4 1 1 > 19 1009550 4 1 2 > 20 1009550 4 1 3 > 21 1009550 4 4 4 > > Cheers. > Petr > >> -----Original Message----- >> From: R-help <r-help-bounces at r-project.org> On Behalf Of Jim Lemon >> Sent: Friday, April 30, 2021 11:45 AM >> To: e-mail ma015k3113 <ma015k3113 at blueyonder.co.uk>; r-help mailing list >> <r-help at r-project.org> >> Subject: Re: [R] Help understanding loop behaviour >> >> Hi email, >> If you want what you described, try this: >> >> xx<-read.table(text="COMPANY_NUMBER NUMBER_OF_YEARS >> 0070837 3 >> 0070837 3 >> 0070837 3 >> 1000403 4 >> 1000403 4 >> 1000403 4 >> 1000403 4 >> 10029943 3 >> 10029943 3 >> 10029943 3 >> 10037980 4 >> 10037980 4 >> 10037980 4 >> 10037980 4 >> 10057418 3 >> 10057418 3 >> 10057418 3 >> 1009550 4 >> 1009550 4 >> 1009550 4 >> 1009550 4", >> header=TRUE,stringsAsFactors=FALSE) >> xx$I<-NA >> xx$J<-NA >> row_count<-1 >> for(row in 1:nrow(xx)) { >> if(row == nrow(xx) || >> xx$COMPANY_NUMBER[row]==xx$COMPANY_NUMBER[row+1]) { >> xx$I[row]<-1 >> xx$J[row]<-row_count >> row_count<-row_count+1 >> } else { >> xx$I[row]<-xx$J[row]<-xx$NUMBER_OF_YEARS[row] >> row_count<-1 >> } >> } >> xx >> >> Like Petr, I am assuming that you want company 10057418 treated the same >> as the others. If not, let us know why. I am also adssuming that the first > three >> rows should _not_ have a "#" at the beginning, which means that they will > be >> discarded. >> >> Jim >> >> On Fri, Apr 30, 2021 at 1:41 AM e-mail ma015k3113 via R-help <r-help at r- >> project.org> wrote: >>> >>> I am trying to understand how loops in operate. I have a simple >>> dataframe xx which is as follows >>> >>> COMPANY_NUMBER NUMBER_OF_YEARS >>> >>> #0070837 3 >>> #0070837 3 >>> #0070837 3 >>> 1000403 4 >>> 1000403 4 >>> 1000403 4 >>> 1000403 4 >>> 10029943 3 >>> 10029943 3 >>> 10029943 3 >>> 10037980 4 >>> 10037980 4 >>> 10037980 4 >>> 10037980 4 >>> 10057418 3 >>> 10057418 3 >>> >>> 10057418 3 >>> 1009550 4 >>> 1009550 4 >>> 1009550 4 >>> 1009550 4 >>> The code I have written is >>> >>> while (i <= nrow(xx1) ) >>> >>> { >>> >>> for (j in 1:xx1$NUMBER_OF_YEARS[i]) >>> { >>> xx1$I[i] <- i >>> xx1$J[j] <- j >>> xx1$NUMBER_OF_YEARS_j[j] <- xx1$NUMBER_OF_YEARS[j] } i=i + >>> (xx1$NUMBER_OF_YEARS[i] ) } After running the code I want my >> dataframe >>> to look like >>> >>> |COMPANY_NUMBER |NUMBER_OF_YEARS| | I| |J| >>> >>> |#0070837 |3| |1| |1| >>> |#0070837 |3| |1| |2| >>> |#0070837 |3| |3| |3| >>> |1000403 |4| |1| |1| >>> |1000403 |4| |1| |2| >>> |1000403 |4| |1| |3| >>> |1000403 |4| |4| |4| >>> |10029943 |3| |1| |1| >>> |10029943 |3| |1| |2| >>> |10029943 |3| |3| |3| >>> |10037980 |4| |1| |1| >>> |10037980 |4| |1| |2| >>> |10037980 |4| |1| |3| >>> |10037980 |4| |4| |4| >>> |10057418 |3| |1| |1| >>> |10057418 |3| |1| |1| >>> |10057418 |3| |1| |1| >>> |1009550 |4| |1| |1| >>> |1009550 |4| |1| |2| >>> |1009550 |4| |1| |3| >>> |1009550 |4| |4| |4| >>> >>> >>> I get the correct value of I but in the wrong row but the vaule of J >>> is correct in the first iteration and then it goes to 1 >>> >>> Any help will be greatly appreciated >>> [[alternative HTML version deleted]] >>> >>> ______________________________________________ >>> R-help at 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. >> >> ______________________________________________ >> R-help at 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. >> >> ______________________________________________ >> R-help at 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.
There is something wrong here I believe -- see inline below: Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Apr 30, 2021 at 10:37 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:> Hello, > > For column J, ave/seq_along seems to be the simplest. For column I, ave > is also a good option, it avoids split/lapply. > > > xx$I <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = function(x){ > c(rep(1, length(x) - 1), max(length(x))) ### ??? > }) > > **********length() returns a single integer, so max(length(x)) makes no sense ************************************> xx$J <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = seq_along) > > > Hope this helps, > > ?s 11:49 de 30/04/21, PIKAL Petr escreveu: > > Hallo, > > > > Sorry, my suggestion did not worked in your case correctly as split used > > natural factor ordering. > > > > So using Jim's data, this results in desired output. > > > > #prepare factor in original ordering > > ff <- factor(xx[,1], levels=unique(xx[,1])) > > lll <- split(xx$COMPANY_NUMBER, ff) > > xx$I <- unlist(lapply(lll, function(x) c(rep(1, length(x)-1), > > max(length(x)))),use.names=FALSE) > > xx$J <- unlist(lapply(lll, function(x) 1:length(x)), use.names=FALSE) > >> xx > > COMPANY_NUMBER NUMBER_OF_YEARS I J > > 1 70837 3 1 1 > > 2 70837 3 1 2 > > 3 70837 3 3 3 > > 4 1000403 4 1 1 > > 5 1000403 4 1 2 > > 6 1000403 4 1 3 > > 7 1000403 4 4 4 > > 8 10029943 3 1 1 > > 9 10029943 3 1 2 > > 10 10029943 3 3 3 > > 11 10037980 4 1 1 > > 12 10037980 4 1 2 > > 13 10037980 4 1 3 > > 14 10037980 4 4 4 > > 15 10057418 3 1 1 > > 16 10057418 3 1 2 > > 17 10057418 3 3 3 > > 18 1009550 4 1 1 > > 19 1009550 4 1 2 > > 20 1009550 4 1 3 > > 21 1009550 4 4 4 > > > > Cheers. > > Petr > > > >> -----Original Message----- > >> From: R-help <r-help-bounces at r-project.org> On Behalf Of Jim Lemon > >> Sent: Friday, April 30, 2021 11:45 AM > >> To: e-mail ma015k3113 <ma015k3113 at blueyonder.co.uk>; r-help mailing > list > >> <r-help at r-project.org> > >> Subject: Re: [R] Help understanding loop behaviour > >> > >> Hi email, > >> If you want what you described, try this: > >> > >> xx<-read.table(text="COMPANY_NUMBER NUMBER_OF_YEARS > >> 0070837 3 > >> 0070837 3 > >> 0070837 3 > >> 1000403 4 > >> 1000403 4 > >> 1000403 4 > >> 1000403 4 > >> 10029943 3 > >> 10029943 3 > >> 10029943 3 > >> 10037980 4 > >> 10037980 4 > >> 10037980 4 > >> 10037980 4 > >> 10057418 3 > >> 10057418 3 > >> 10057418 3 > >> 1009550 4 > >> 1009550 4 > >> 1009550 4 > >> 1009550 4", > >> header=TRUE,stringsAsFactors=FALSE) > >> xx$I<-NA > >> xx$J<-NA > >> row_count<-1 > >> for(row in 1:nrow(xx)) { > >> if(row == nrow(xx) || > >> xx$COMPANY_NUMBER[row]==xx$COMPANY_NUMBER[row+1]) { > >> xx$I[row]<-1 > >> xx$J[row]<-row_count > >> row_count<-row_count+1 > >> } else { > >> xx$I[row]<-xx$J[row]<-xx$NUMBER_OF_YEARS[row] > >> row_count<-1 > >> } > >> } > >> xx > >> > >> Like Petr, I am assuming that you want company 10057418 treated the same > >> as the others. If not, let us know why. I am also adssuming that the > first > > three > >> rows should _not_ have a "#" at the beginning, which means that they > will > > be > >> discarded. > >> > >> Jim > >> > >> On Fri, Apr 30, 2021 at 1:41 AM e-mail ma015k3113 via R-help <r-help at r- > >> project.org> wrote: > >>> > >>> I am trying to understand how loops in operate. I have a simple > >>> dataframe xx which is as follows > >>> > >>> COMPANY_NUMBER NUMBER_OF_YEARS > >>> > >>> #0070837 3 > >>> #0070837 3 > >>> #0070837 3 > >>> 1000403 4 > >>> 1000403 4 > >>> 1000403 4 > >>> 1000403 4 > >>> 10029943 3 > >>> 10029943 3 > >>> 10029943 3 > >>> 10037980 4 > >>> 10037980 4 > >>> 10037980 4 > >>> 10037980 4 > >>> 10057418 3 > >>> 10057418 3 > >>> > >>> 10057418 3 > >>> 1009550 4 > >>> 1009550 4 > >>> 1009550 4 > >>> 1009550 4 > >>> The code I have written is > >>> > >>> while (i <= nrow(xx1) ) > >>> > >>> { > >>> > >>> for (j in 1:xx1$NUMBER_OF_YEARS[i]) > >>> { > >>> xx1$I[i] <- i > >>> xx1$J[j] <- j > >>> xx1$NUMBER_OF_YEARS_j[j] <- xx1$NUMBER_OF_YEARS[j] } i=i + > >>> (xx1$NUMBER_OF_YEARS[i] ) } After running the code I want my > >> dataframe > >>> to look like > >>> > >>> |COMPANY_NUMBER |NUMBER_OF_YEARS| | I| |J| > >>> > >>> |#0070837 |3| |1| |1| > >>> |#0070837 |3| |1| |2| > >>> |#0070837 |3| |3| |3| > >>> |1000403 |4| |1| |1| > >>> |1000403 |4| |1| |2| > >>> |1000403 |4| |1| |3| > >>> |1000403 |4| |4| |4| > >>> |10029943 |3| |1| |1| > >>> |10029943 |3| |1| |2| > >>> |10029943 |3| |3| |3| > >>> |10037980 |4| |1| |1| > >>> |10037980 |4| |1| |2| > >>> |10037980 |4| |1| |3| > >>> |10037980 |4| |4| |4| > >>> |10057418 |3| |1| |1| > >>> |10057418 |3| |1| |1| > >>> |10057418 |3| |1| |1| > >>> |1009550 |4| |1| |1| > >>> |1009550 |4| |1| |2| > >>> |1009550 |4| |1| |3| > >>> |1009550 |4| |4| |4| > >>> > >>> > >>> I get the correct value of I but in the wrong row but the vaule of J > >>> is correct in the first iteration and then it goes to 1 > >>> > >>> Any help will be greatly appreciated > >>> [[alternative HTML version deleted]] > >>> > >>> ______________________________________________ > >>> R-help at 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. > >> > >> ______________________________________________ > >> R-help at 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. > >> > >> ______________________________________________ > >> R-help at 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. > > ______________________________________________ > R-help at 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]]
Hello, Right, thanks. I should be xx$I <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = function(x){ c(rep(1, length(x) - 1), length(x)) ### ??? }) Hope this helps, Rui Barradas ?s 19:46 de 30/04/21, Bert Gunter escreveu:> There is something wrong here I believe -- see inline below: > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along > and sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Fri, Apr 30, 2021 at 10:37 AM Rui Barradas <ruipbarradas at sapo.pt > <mailto:ruipbarradas at sapo.pt>> wrote: > > Hello, > > For column J, ave/seq_along seems to be the simplest. For column I, ave > is also a good option, it avoids split/lapply. > > > xx$I <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = function(x){ > ? ?c(rep(1, length(x) - 1), max(length(x)))? ### ??? > }) > > ********** > length() returns a single integer, so max(length(x)) makes no sense > ************************************ > > xx$J <- ave(xx$NUMBER_OF_YEARS, xx$COMPANY_NUMBER, FUN = seq_along) > > > Hope this helps, > > ?s 11:49 de 30/04/21, PIKAL Petr escreveu: > > Hallo, > > > > Sorry, my suggestion did not worked in your case correctly as > split used > > natural factor ordering. > > > > So using Jim's data, this results in desired output. > > > > #prepare factor in original ordering > > ff <- factor(xx[,1], levels=unique(xx[,1])) > > lll <- split(xx$COMPANY_NUMBER, ff) > > xx$I <- unlist(lapply(lll, function(x) c(rep(1, length(x)-1), > > max(length(x)))),use.names=FALSE) > > xx$J <- unlist(lapply(lll, function(x) 1:length(x)), use.names=FALSE) > >> xx > >? ? ?COMPANY_NUMBER NUMBER_OF_YEARS I J > > 1? ? ? ? ? ?70837? ? ? ? ? ? ? ?3 1 1 > > 2? ? ? ? ? ?70837? ? ? ? ? ? ? ?3 1 2 > > 3? ? ? ? ? ?70837? ? ? ? ? ? ? ?3 3 3 > > 4? ? ? ? ?1000403? ? ? ? ? ? ? ?4 1 1 > > 5? ? ? ? ?1000403? ? ? ? ? ? ? ?4 1 2 > > 6? ? ? ? ?1000403? ? ? ? ? ? ? ?4 1 3 > > 7? ? ? ? ?1000403? ? ? ? ? ? ? ?4 4 4 > > 8? ? ? ? 10029943? ? ? ? ? ? ? ?3 1 1 > > 9? ? ? ? 10029943? ? ? ? ? ? ? ?3 1 2 > > 10? ? ? ?10029943? ? ? ? ? ? ? ?3 3 3 > > 11? ? ? ?10037980? ? ? ? ? ? ? ?4 1 1 > > 12? ? ? ?10037980? ? ? ? ? ? ? ?4 1 2 > > 13? ? ? ?10037980? ? ? ? ? ? ? ?4 1 3 > > 14? ? ? ?10037980? ? ? ? ? ? ? ?4 4 4 > > 15? ? ? ?10057418? ? ? ? ? ? ? ?3 1 1 > > 16? ? ? ?10057418? ? ? ? ? ? ? ?3 1 2 > > 17? ? ? ?10057418? ? ? ? ? ? ? ?3 3 3 > > 18? ? ? ? 1009550? ? ? ? ? ? ? ?4 1 1 > > 19? ? ? ? 1009550? ? ? ? ? ? ? ?4 1 2 > > 20? ? ? ? 1009550? ? ? ? ? ? ? ?4 1 3 > > 21? ? ? ? 1009550? ? ? ? ? ? ? ?4 4 4 > > > > Cheers. > > Petr > > > >> -----Original Message----- > >> From: R-help <r-help-bounces at r-project.org > <mailto:r-help-bounces at r-project.org>> On Behalf Of Jim Lemon > >> Sent: Friday, April 30, 2021 11:45 AM > >> To: e-mail ma015k3113 <ma015k3113 at blueyonder.co.uk > <mailto:ma015k3113 at blueyonder.co.uk>>; r-help mailing list > >> <r-help at r-project.org <mailto:r-help at r-project.org>> > >> Subject: Re: [R] Help understanding loop behaviour > >> > >> Hi email, > >> If you want what you described, try this: > >> > >> xx<-read.table(text="COMPANY_NUMBER NUMBER_OF_YEARS > >> 0070837? 3 > >> 0070837? 3 > >> 0070837? 3 > >> 1000403? 4 > >> 1000403? 4 > >> 1000403? 4 > >> 1000403? 4 > >> 10029943? 3 > >> 10029943? 3 > >> 10029943? 3 > >> 10037980? 4 > >> 10037980? 4 > >> 10037980? 4 > >> 10037980? 4 > >> 10057418? 3 > >> 10057418? 3 > >> 10057418? 3 > >> 1009550? 4 > >> 1009550? 4 > >> 1009550? 4 > >> 1009550? 4", > >> header=TRUE,stringsAsFactors=FALSE) > >> xx$I<-NA > >> xx$J<-NA > >> row_count<-1 > >> for(row in 1:nrow(xx)) { > >>? ?if(row == nrow(xx) || > >> xx$COMPANY_NUMBER[row]==xx$COMPANY_NUMBER[row+1]) { > >>? ? xx$I[row]<-1 > >>? ? xx$J[row]<-row_count > >>? ? row_count<-row_count+1 > >>? ?} else { > >>? ? xx$I[row]<-xx$J[row]<-xx$NUMBER_OF_YEARS[row] > >>? ? row_count<-1 > >>? ?} > >> } > >> xx > >> > >> Like Petr, I am assuming that you want company 10057418 treated > the same > >> as the others. If not, let us know why. I am also adssuming that > the first > > three > >> rows should _not_ have a "#" at the beginning, which means that > they will > > be > >> discarded. > >> > >> Jim > >> > >> On Fri, Apr 30, 2021 at 1:41 AM e-mail ma015k3113 via R-help > <r-help at r- > >> project.org <http://project.org>> wrote: > >>> > >>> I am trying to understand how loops in operate. I have a simple > >>> dataframe xx which is as follows > >>> > >>> COMPANY_NUMBER? ?NUMBER_OF_YEARS > >>> > >>> #0070837? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> #0070837? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> #0070837? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 1000403? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1000403? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1000403? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1000403? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 10029943? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 10029943? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 10029943? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 10037980? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 10037980? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 10037980? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 10037980? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 10057418? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 10057418? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> > >>> 10057418? ? ? ? ? ? ? ? ? ? ? ? ? ? ?3 > >>> 1009550? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1009550? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1009550? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> 1009550? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?4 > >>> The code I have written is > >>> > >>> while (i <= nrow(xx1) ) > >>> > >>> { > >>> > >>> for (j in 1:xx1$NUMBER_OF_YEARS[i]) > >>> { > >>> xx1$I[i] <- i > >>> xx1$J[j] <- j > >>> xx1$NUMBER_OF_YEARS_j[j] <- xx1$NUMBER_OF_YEARS[j] } i=i + > >>> (xx1$NUMBER_OF_YEARS[i] ) } After running the code I want my > >> dataframe > >>> to look like > >>> > >>> |COMPANY_NUMBER |NUMBER_OF_YEARS| | I| |J| > >>> > >>> |#0070837 |3| |1| |1| > >>> |#0070837 |3| |1| |2| > >>> |#0070837 |3| |3| |3| > >>> |1000403 |4| |1| |1| > >>> |1000403 |4| |1| |2| > >>> |1000403 |4| |1| |3| > >>> |1000403 |4| |4| |4| > >>> |10029943 |3| |1| |1| > >>> |10029943 |3| |1| |2| > >>> |10029943 |3| |3| |3| > >>> |10037980 |4| |1| |1| > >>> |10037980 |4| |1| |2| > >>> |10037980 |4| |1| |3| > >>> |10037980 |4| |4| |4| > >>> |10057418 |3| |1| |1| > >>> |10057418 |3| |1| |1| > >>> |10057418 |3| |1| |1| > >>> |1009550 |4| |1| |1| > >>> |1009550 |4| |1| |2| > >>> |1009550 |4| |1| |3| > >>> |1009550 |4| |4| |4| > >>> > >>> > >>> I get the correct value of I but in the wrong row but the vaule > of J > >>> is correct in the first iteration and then it goes to 1 > >>> > >>> Any help will be greatly appreciated > >>>? ? ? ? ? [[alternative HTML version deleted]] > >>> > >>> ______________________________________________ > >>> R-help at r-project.org <mailto:R-help at r-project.org> mailing list > -- To UNSUBSCRIBE and more, see > >>> https://stat.ethz.ch/mailman/listinfo/r-help > <https://stat.ethz.ch/mailman/listinfo/r-help> > >>> PLEASE do read the posting guide > >>> http://www.R-project.org/posting-guide.html > <http://www.R-project.org/posting-guide.html> > >>> and provide commented, minimal, self-contained, reproducible code. > >> > >> ______________________________________________ > >> R-help at r-project.org <mailto:R-help at r-project.org> mailing list > -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > <https://stat.ethz.ch/mailman/listinfo/r-help> > >> PLEASE do read the posting guide > http://www.R-project.org/posting- <http://www.R-project.org/posting-> > >> guide.html > >> and provide commented, minimal, self-contained, reproducible code. > >> > >> ______________________________________________ > >> R-help at r-project.org <mailto:R-help at r-project.org> mailing list > -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > <https://stat.ethz.ch/mailman/listinfo/r-help> > >> PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > <http://www.R-project.org/posting-guide.html> > >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org <mailto:R-help at r-project.org> mailing list -- > To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > <https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. >