[R] Joining tables with different order and matched values

[Ulrik Stervbo]

Hi Abo,

?merge

or the join functions from dplyr.

HTH
Ulrik

On Tue, 9 May 2017 at 06:44 abo dalash <abo_dlsh at hotmail.com> wrote:

> Hi All ..,
>
>
> I have 2 tables and I'm trying to have some information from the 1st table
> to appear in the second table with different order.
>
>
> For Example, let's say this is my 1st table :-
>
>
>
> Drug name           indications
>
>  Ibuprofen                Pain
>
>  Simvastatin            hyperlipidemia
>
> losartan                   hypertension
>
>
>
> my 2nd table is in different order for the 1st column :-
>
>
> Drug name       indications
>
>
> Simvastatin
>
> losartan
>
> Ibuprofen
>
> Metformin
>
>
> I wish to see the indication of each drug in my 2nd table subsisted from
> the information in my 1st table so the final table
>
> would be like this
>
>
> Drug name       indications
>
>
> Simvastatin     hyperlipidemia
>
> losartan           hypertension
>
> Ibuprofen       pain
>
> Metformin    N/A
>
>
> I have been trying to use Sqldf package and right join function but not
> able to formulate the correct syntax.
>
>
> I'm also trying to identify rows contain at least one shared value  in a
> dataset called 'Values":
>
>
> >Values
>
> A             B
>
> 1,2,5       3,8,7
>
> 2,4,6       7,6,3
>
>
>
> Columns A & B in the first row do not share any value while in the 2nd row
> they have a single shared value which is 6.
>
> The result I wish to see :-
>
>
> A             B             shared values
>
> 1,2,5       3,8,7             N/A
>
> 2,4,6       7,6,3               6
>
>
> I tried this syntax : SharedValues <- Values$A == Values$B but this
> returns logical results and what I wish to have
>
> is a new data frame including the new vector "shared values" showing the
> information exactly as above.
>
>
>
>
> Kind Regards
>
>
>
>
>
>
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>
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