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I have this kind of matrix, with thousands of cases. A 2 apple A 2 peach A 3 peach B 1 pear B 4 peach B 4 beef B 7 beef C 1 peach D 2 apple D 5 peach I have to distinguish, from the other rows, the rows with "peach" and this is not a problem. I also have to discriminate the rows with peach like the second one (associated with the same two cells "A" and

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

I have a great dataset like this: name ? ? ?colour ? ... ... ... jerry ? ? ? ? red pippo ? ? ? ?red tom ? ? ? ? ?red tom ? ? ? ?yellow tom ? ? ? ?green jessie ? ? orange jessie ? ? ?red bill ? ? ? ? ?yellow kate ? ? ? red henry ? ? ?green .. .. I want to find out, in this great dataset, if (the name of) a person is repeated (and which colour are associated).? My output has to be

I have a matrix like this 0.05 0.13 1.2 0 0 0 0 0 red 0 0 0 0 0 0 0 0 white 0 0.06 0 0 0 0 0 0 blue If only 1 number in the first 8 columns is more than 0, in a new variable I write 1, if they're all 0 or less, I write 0, so 0.05 0.13 1.2 0 0 0 0 0 red 1 0 0 0 0 0 0 0 0 white 0 0 0.06 0 0 0 0 0 0 blue 1 I want to understand if the value of the