pairwise | A gem for generating pairwise test combinations | Testing library

Let's assume the following undirected graph:

I have a sample dataframe as below

I have a huge dataset and that look like this. To save some memory I want to calculate the pairwise distance but leave the upper diagonal of the matrix to NULL.

How do I remove the duplicate rows based on pairwise columns (Col1, Col2) and (Col3, Col4)

I am trying to use the outer() function to apply a function on all the pairwise combinations of two vectors as arguments. In my case one of the inputs is a character vector that should serve as arguments to an inner function (cor()) that will need to run match.arg() on it.

This works fine when the inner function doesn't require this such as with paste().

I have a data.frame database with 14 columns. I split these columns into two groups: [,1:6] and [,7:14].

I am trying to define a function that takes a data frame or table as input with a specific number of ID columns (e.g., 2 or 3 ID columns), and the remaining columns are NAME1, NAME2, ..., NAMEK (numeric columns). The output should be a data table that consists of the same ID columns as before plus one additional ID column that groups each unique pairwise combination of the column names (NAME1, NAME2, ...). In addition, we must gather the actual values of the numeric columns into two new columns based on the ID column; an example with two ID columns and three numeric columns:

There is a nice question (Which substitution failures are not allowed in requires clauses?) proposing the next problem.

One needs to write a compile-time function template constexpr bool allTypesUnique() that will return true if all argument types are unique, and false otherwise. And the restriction is not to compare the argument types pairwise. Unfortunately, the answer only explains why such function cannot be implemented with some particular approach.

I think the solution can be achieved using multiple inheritance. The idea is to make a class inherited from a number of classes: one for each type T in Ts. And each such class defines a virtual function with a signature depending on T. If some T is found more than once in Ts then function f in a child class will override the function in a base class and it can be detected:

I am working with the R programming language.

I have the following data:

1) Mean Vector (4 rows , 1 column)

4 variables (x1, x2, x3, x4)