# 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.

To

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