# glueformula: simply build regression formulas from vectors with variable names

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The small new package glueformula with a single function `gf`

facilitates constructing regression formulas from vectors with variable names. The syntax is similar to glue strings. Here is an example:

# Example: build a formula # for ivreg with gf library(glueformula) # Contol variables and instruments contr = c("x1","x2","x3","log(x4)") instr = c("z1","z2",contr) # Create formula for ivreg gf(q ~ p + {contr} | {instr}) ## q ~ p + x1 + x2 + x3 + log(x4) | z1 + z2 + x1 + x2 + x3 + log(x4)

There is no big benefit if one wants to estimate a single regression, but in econometrics one often specifies a lot of similar regressions (for robustness checks not p-hacking!) that share a large set of common control variables. Here `glueformula`

can be handy.

You can install it from Github as explained here: https://github.com/skranz/glueformula

There was also a discussion here whether a similar feature should be included into the `glue`

package itself, but it looks as if that is not going to happen.

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**Economics and R - R posts**.

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