Mutate a data frame by the mutate terms from ....

mutate_nse(
  .data,
  ...,
  mutate_nse_split_terms = TRUE,
  mutate_nse_env = parent.frame(),
  mutate_nse_warn = TRUE,
  mutate_nse_printPlan = FALSE
)

Arguments

.data

data.frame

...

expressions to mutate by.

mutate_nse_split_terms

logical, if TRUE into separate mutates (if FALSE instead, pass all at once to dplyr).

mutate_nse_env

environment to work in.

mutate_nse_warn

logical, if TRUE warn about name re-use.

mutate_nse_printPlan

logical, if TRUE print the expression plan

Value

.data with altered columns.

Details

Note: this method as the default setting mutate_nse_split_terms = TRUE, which is safer (avoiding certain known dplyr/dblyr issues) (please see the side-notes of http://winvector.github.io/FluidData/partition_mutate.html for some references).

See also

Examples

limit <- 3.5 datasets::iris %.>% mutate_nse(., Sepal_Long := Sepal.Length >= 2 * Sepal.Width, Petal_Short := Petal.Length <= limit) %.>% head(.)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species Sepal_Long #> 1 5.1 3.5 1.4 0.2 setosa FALSE #> 2 4.9 3.0 1.4 0.2 setosa FALSE #> 3 4.7 3.2 1.3 0.2 setosa FALSE #> 4 4.6 3.1 1.5 0.2 setosa FALSE #> 5 5.0 3.6 1.4 0.2 setosa FALSE #> 6 5.4 3.9 1.7 0.4 setosa FALSE #> Petal_Short #> 1 TRUE #> 2 TRUE #> 3 TRUE #> 4 TRUE #> 5 TRUE #> 6 TRUE
# generates a warning data.frame(x = 1, y = 2) %.>% mutate_nse(., x = y, y = x)
#> Warning: seplyr::mutate_se possible name conflicts in assigment
#> x y #> 1 2 2