[R] Interweaving of two datasets

[Rui Barradas]

Hello,


lunarossa wrote
> 
> I have two datasets, the first has this shape (each word is a column)
> Name address phone .. ..
> 
> The second one has the following shape
> Name request
> 
> I need a contingency table with for example phone and request.
> 
> 
> The people registered in these datasets are present in both datasets, BUT
> in the first every record is a person, so every person is counted once and
> is 1 row, in the second every row is a request, so if a person has
> requested 1 thing this person is present only once, but is the person has
> requested 3 things, this person we'll be present 3 times.   
> 
> I now that to use access could be the solution, but in this moment the
> computer expert give me data only as .xls/.csv data.
> 
> This creates the possibility of two different cross tab, I really need
> both,
> the first has as total count the number of people
> The second one has as total count the number of request
> 

Try

?merge

set.seed(1)
df1 <- data.frame(Name=LETTERS[1:5], Phone=1:5)
df2 <- data.frame(Name=sample(LETTERS[1:5], 20, TRUE),
Request=sample(letters[1:3], 20, TRUE))

joined <- merge(df1, df2)
with(joined, table(Name, Request))

Also, I hope this is what you want, it corresponds to your description but
there's no "reproducible example (posting-guide)".

Rui Barradas


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