inst/examples/mutate-examples.R

In dtrackr: Track your Data Pipelines

library(dplyr)
library(dtrackr)

# mutate and other functions are unitary operations that generally change
# the structure but not size of a dataframe. In dtrackr these are by ignored
# by default but we can change that so that their behaviour is obvious.

# mutate
# In this example we compare the column names of the input and the
# output to identify the new columns created by the mutate operation as
# the `.new_cols` variable
iris %>%
  track() %>%
  mutate(extra_col = NA_real_,
         .messages="{.new_cols}",
         .headline="Extra columns from mutate:") %>%
  history()