[R] a difficult situation, how to do this using base function.
Jeff Newmiller
jdnewmil at dcn.davis.ca.us
Sat Jul 22 02:38:12 CEST 2017
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If at all possible you should try to augment your table with an additional
table to contain the range.coordinates, or replace the range.coordinates
column with a list of tables. I have parsed your format into tables on the
fly, but this is inefficient and fragile.
######
DF <- data.frame( match.start=c( 5, 10, 100, 200 )
, range.coordinates = c( "1000-1050"
, "1500-1555"
, "5000-5050,6000-6180"
, "100-150,200-260,600-900"
)
, stringsAsFactors = FALSE
)
lookupFunction <- function( ms, rc ) {
rcdf <- as.data.frame( lapply( as.data.frame( t( as.data.frame(
strsplit( strsplit( rc, ",", fixed=TRUE )[[ 1 ]], "-" ) ) ),
stringsAsFactors=FALSE ), as.numeric ) )
rcdf$V3 <- with( rcdf, cumsum( V2-V1 ) )
rcq <- c( 0, rcdf$V3 )
idx <- findInterval( ms, rcdf$V3 ) + 1
rcdf$V1[ idx ] + ms - rcq[ idx ]
}
DF$match.start.updated <-
unlist( lapply( seq.int( nrow( DF ) )
, function( i ) {
lookupFunction( DF$match.start[ i ]
, DF$range.coordinates[ i ]
)
}
)
)
######
On Fri, 21 Jul 2017, Stephen HonKit Wong wrote:
> Hello,
>
> I have a following dataframe with many rows.
> data.frame(match.start=c(5,10,100,200),range.coordinates=c("1000-1050","1500-1555","5000-5050,6000-6180","100-150,200-260,600-900"))
>
> match.start range.coordinates
> 5 1000-1050
> 10 1500-1555
> 100 5000-5050,6000-6180
> 200 100-150,200-260,600-900
>
> I want to test for each row element in column "match.start" (e.g. 100 on
> 3rd row) if it is less than the accumulated range (e.g. for 5000-5050,
> 6000-6180, the accumulated range is: 50, 230), then update the match start
> as 6000+ (100-50) = 6050. The result is put on third column.
>
> match.start range.coordinates match.start.updated
> 5 1000-1050 1005
> 10 1500-1555 1510
> 100 5000-5050,6000-6180 6050
> 200 100-150,200-260,600-900 690
>
> Many thanks.
>
> [[alternative HTML version deleted]]
>
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