inst/examples/select-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.

# select
# The output of the select verb (here using tidyselect syntax) can be captured
# and here all column names are being reported with the .cols variable.
iris %>%
  track() %>%
  group_by(Species) %>%
  select(
    tidyselect::starts_with("Sepal"),
    .messages="{.cols}",
    .headline="Output columns from select:") %>%
  history()