3 ms·

What is wrong with tibbles?

• Bootvis 3y ago
  They are not data.tables and sometimes I prefer working with data.tables.
• kuhewa 3y ago
  Their print method annoys me and I don't like the benevolent paternalism of attempting to prevent you from modifying indexes of the dataframe.
• nequo 3y ago
  I was (wrongly) guessing performance. Tibbles are ok for smaller data sets where data transformations don’t need to be in place and there’s no risk of running out of RAM. Data tables perform better, at the cost of what I think is a less ergonomic interface. See benchmarks here (compare data.table with dplyr): https://h2oai.github.io/db-benchmark/ https://h2oai.github.io/db-benchmark/