# Using wrapr::let() with tidyeval

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While going over some of the discussion related to my last post I came up with a really neat way to use `wrapr::let()`

and `rlang`

/`tidyeval`

together.

Please read on to see the situation and example.Suppose we want to parameterize over a couple of names, one denoting a variable coming from the current environment and one denoting a column name. Further suppose we are worried the two names may be the same.

We can actually handle this quite neatly, using `rlang`

/`tidyeval`

to denote intent (in this case using “`!!`

” to specify “take from environment instead of the data frame”) and allowing `wrapr::let()`

to perform the substitutions.

suppressPackageStartupMessages(library("dplyr")) library("wrapr") mass_col_name = 'mass' mass_const_name = 'mass' mass % transmute(height, (!! MASS_CONST), # `mass` from environment MASS_COL, # `mass` from data.frame h100 = height * (!! MASS_CONST), # env hm = height * MASS_COL # data ) %>% head() ) #> # A tibble: 6 x 5 #> height `(100)` mass h100 hm #> #> 1 172 100 77 17200 13244 #> 2 167 100 75 16700 12525 #> 3 96 100 32 9600 3072 #> 4 202 100 136 20200 27472 #> 5 150 100 49 15000 7350 #> 6 178 100 120 17800 21360

All in all, that is pretty neat.

To

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