> x=c(1,2,NA,3,4,5)*10
> y=array(rep(x,15),c(5,3,2))
> dimnames(y)=list(1:5,letters[1:3],NULL)
So to have in the workspace:
> y
, , 1
a b c
1 10 50 40
2 20 10 50
3 NA 20 10
4 30 NA 20
5 40 30 NA
, , 2
a b c
1 30 NA 20
2 40 30 NA
3 50 40 30
4 10 50 40
5 20 10 50
Then to set the missing in the third row to 0:
> y[3,,][which(is.na(y[3,,]))]=0
and to set the missing in the other rows to 1:
> y[-3,,][which(is.na(y[-3,,]))]=1
domenico vistocco
Luis Ridao Cruz wrote:> R-help,
>
> I have a 3-way array:
>
>
>> dim(bugvinP)
>>
> [1] 13 14 3
>
> The array looks something like this (object trimmed for readability)
> , , slag = 1
>
> ar
> 1994 1995 1996 1997 1998
> 1 NA 0.000 0.000 0.000 0.000
> 2 0.036 0.059 0.027 0.000 0.000
> 3 0.276 0.475 0.491 0.510 0.559
> 10 1.000 1.000 1.000 1.000 1.000
> 11 NA 1.000 1.000 NA 1.000
> 12 NA 1.000 1.000 1.000 1.000
> 13 NA 1.000 NA 1.000 NA
>
> , , slag = 2
>
> ar
> 1994 1995 1996 1997 1998
> 1 NA 0.000 0.000 0.000 0.000
> 2 0.129 0.029 0.011 0.026 0.000
> 9 1.000 1.000 1.000 1.000 1.000
> 10 1.000 1.000 1.000 1.000 1.000
> 11 1.000 1.000 1.000 1.000 1.000
> 12 1.000 1.000 1.000 1.000 1.000
> 13 NA NA 1.000 1.000 NA
>
>
> I want to set NAs to 0 if the row names are e.g. 3
> and 1 otherwise. To implement this I do the following which
> is OK but I wish to find out a more compact/shorter version.
>
> for(i in 1:3)
> {
> bugvinP[,,i] <- ifelse(as.numeric(rownames(bugvinP[,,i])) < 3 &
> is.na(bugvinP[,,i]), 0
> , ifelse(as.numeric(rownames(bugvinP[,,i])) > 9 &
is.na(bugvinP[,,i]),
> 1, bugvinP))
> }
>
>
> Thanks in advance
>
>
>> version
>>
> _
> platform i386-pc-mingw32
> arch i386
> os mingw32
> system i386, mingw32
> status
> major 2
> minor 6.1
> year 2007
> month 11
> day 26
> svn rev 43537
> language R
> version.string R version 2.6.1 (2007-11-26)
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
>
>