inst/examples/arrange-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.

# arrange
# In this case we sort the data descending and show the first value
# is the same as the maximum value.
iris %>%
  track() %>%
  arrange(
    desc(Petal.Width),
    .messages="{.count} items, columns: {.cols}",
    .headline="Reordered dataframe:") %>%
  history()