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
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> PLEASE do read the posting guide
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> <http://www.R-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>