[R] Loop does not work: Error in else statement (II)

PIKAL Petr petr.pikal at precheza.cz
Tue Sep 30 17:01:47 CEST 2014


Hi

Slightly better but still html scrambled.

see in line

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Frank S.
> Sent: Tuesday, September 30, 2014 2:55 PM
> To: r-help at r-project.org
> Subject: [R] Loop does not work: Error in else statement (II)
>
>
>
> Hi to all members of R list,
>
>
>
> I m working with data.table package, and with 6
> variables:
>
>
>
> ID: Subject identifier
>
> born: Birthdate
>
> start: Starting date
>
> register: date of measurement
>
> value: Value of measurement
>
> end: date of expiration of the measurements.
>
>
>
> So, the natural order of date variables would be: born =< start =<
> register =< end. As an example, I have:
>
>
>
> DT <- data.table(ID =
> as.factor(rep(1:4,each=2)),
>
>       born=as.Date(rep(c("1955-02-20","1990-07-25","1972-03-18",
> "1988-05-03"),each=2)),
>
>       start=as.Date(rep(c("1953-03-28","1990-07-01","1983-09-05","1988-
> 07-18"),each=2)),
>
>       register = as.Date(c("1955-08-11", "1958-03-28", "1990-07-09",
> "1992-07-01",
>
>                   "1983-09-05", "2002-09-28", "1992-07-10", "1993-03-
> 12")),
>
>       value=c(205, 346, 34, 76, 320, 148, 209, 274),
>
>       end=as.Date(rep(c("1960-11-05",
> "1997-10-15", "2002-09-27",
> "1997-03-02"),each=2)))
>
>
>
> I would want to make 3 operations:
>
> a)      Remove
> entire ID s where start is previous to born date (excepting those
> subjects whose month and year values are the same in  start  and  born
> variables: I assign  born  date to  start  date in these cases).

> DT$start-DT$born
Time differences in days
[1] -694 -694  -24  -24 4188 4188   76   76

suggests you can remove line 1 and 2 and check line 3 and 4

as.numeric(format(DT$start, "%Y.%m"))- as.numeric(format(DT$born, "%Y.%m"))

[1] -1.99 -1.99  0.00  0.00 11.06 11.06  0.02  0.02

so only lines 1 and 2 shall be removed

#first change born to start where appropriate
cond1 <- which((as.numeric(format(DT$start, "%Y.%m"))- as.numeric(format(DT$born, "%Y.%m")))==0)
DT$born[cond1] <- DT$start[cond1]

#then select rows for which start is earlier than born
cond2 <-((DT$start-DT$born)<0)

#remove rows
DT2<-DT[!cond2,]

If there are rows which does not hold for some ID it is trickier.

Hint
DT$ID[cond2]

>
> b)      Remove
> only specific rows (not all ID) where  register  is previous to  start

#select rows which hold your condition
cond3 <-((DT2$register-DT2$born)<0)
#no items does not result as TRUE but

#remove rows which are TRUE in cond3
DT2 <-DT2[!cond3,]


> .
>
> c)       Remove
> only specific rows (not all ID) where  end  is previous to  register .
>

the same principle applies here. You shall be able to do it yourself


No if, no else no loop, no error.

If there are NAs the solution would be slightly different but in principle similar.

Regards
Petr



>
>
> DT[ ,
>
>   {
>
>
>
> if (all(born > start))
>
>
> {
>
>
> indx <- which(paste(year(born))==paste(year(start)) &
> paste(month(born))==paste(month(start)))
>
>
> result <-
> list(born=born[indx],start=born[indx],register=register[indx],
>
> value=value[indx], end=end[indx])
>
>
> }
>
>
> if (all(register > start) | all(end > register))
>
>       {
>
>
>       indx <- which((register
> > start) | (end > register))
>
>
>       result <-
> list(born=born[indx],start=start[indx], register=register[indx],
>
> value=value[indx], end=end[indx])
>
> }
>
>       else
>
>       {
>
>
>      NULL
>
>
>       }
>
>   else
>
>
> {
>
>
> indx <- which(all(register > start) | all(end > register))
>
>
> result <- list(born=born[indx], start=start[indx],
> register=register[indx],
>
> value=value[indx], end=end[indx])
>
>
> }
>
>
> result
>
>
> }, by=ID]
>
>
>
> Error: unexpected 'else' in:
>
> "      }
>
>   else"
>
>
>
>
>       [[alternative HTML version deleted]]


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