This looks like homework, which is not permitted on this list. But
giving you the benefit of the doubt, here are two ways to do it
> as.matrix(val_df) * matrix(rep(weights$value,5),ncol=3,byrow = TRUE)
ABC DEF ONS
[1,] 10 2 500
[2,] 20 4 500
[3,] 10 20 1000
[4,] 10 4 500
[5,] 10 10 500
> t(apply(as.matrix(val_df),MAR=1,function(v) v * weights$value))
HTH,
Eric
On Sat, Apr 9, 2022 at 7:57 AM maithili_shiva--- via R-help
<r-help using r-project.org> wrote:
>
> Dear R forum
> weights <- data.frame(id = c("ABC", "DEF", "ONS"), value = c(1, 2, 5))
> val_df <- data.frame(ABC = c(10, 20, 10, 10, 10), DEF = c(1, 2, 10, 2, 5), ONS = c(100, 100, 200, 100, 100))
>
> > weights
> id value1 ABC 12 DEF 23 ONS 5
>
> > val_df
> ABC DEF ONS1 10 1 1002 20 2 1003 10 10 2004 10 2 1005 10 5 100
> I wish to multilpy each row of data.frame val_df by value column of data.frame weights.
> ABC DEF ONS1 10*1 1*2 100*52 20*1 2*2 100*53 10*1 10*2 200*54 10*1 2*2 100*55 10*1 5*2 100*5
> ie I wish to have output as
> OUTPUT
> ABC DEF ONS1 10 2 5002 20 4 5003 10 20 10004 10 4 5005 10 10 500
>
> O have tried sweep function, even matrix multiplcation etc, but nothing seems to be working.
> Please guide
> Regards
> Maithili
>
> [[alternative HTML version deleted]]
>
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