**Exegetic Analytics » R**, and kindly contributed to R-bloggers)

Just a quick note on a short hack that I cobbled together this morning. I have an analysis where I need to perform the same set of operations to a list of variables. In order to do this in a compact and robust way, I wanted to write a loop that would run through the variables and apply the operations to each of them in turn. This can be done using get() and assign().

To illustrate the procedure, I will use the simple example of squaring the numerical values stored in three variables. First we initialise the variables.

> x = 1 > y = 2 > z = 3

Then we loop over the variable names (as strings), creating a temporary copy of each one and applying the operation to the copy. Then the copy is assigned back to the original variable.

> for (n in c("x", "y", "z")) { + v = get(n) + # + v = v**2 + # + assign(n, v) + }

Finally we check that the operation has been executed as expected.

> x [1] 1 > y [1] 4 > z [1] 9

This is perhaps a little wasteful in terms of resources (creating the temporary variables), but does the job. Obviously in practice you would only implement this sort of solution if there were either a large number of variables to be transformed or the transformation required a relatively complicated set of operations.

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