inst/examples/rename-examples.R

In terminological/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.

# rename can show us which columns are new and which have been
# removed (with .dropped_cols)
iris %>%
  track() %>%
  group_by(Species) %>%
  rename(
    Stamen.Width = Sepal.Width,
    Stamen.Length = Sepal.Length,
    .messages=c("added {.new_cols}","dropped {.dropped_cols}"),
    .headline="Renamed columns:") %>%
  history()