tutorials.qmd

---
title: "Tutorials"
format: html
editor: source
---

Here we move beyond the basic tools for working with `base::data.frame` data frames to look at row selection as implemented for `tibbles`, `data.table` and `tidytables`.

But, let's be honest, others have done all of the work showing how to use the various data frames and comparing them.  Let's simply assemble a nice list of tutorials and comparisons.


# Tutorials

## tibble

[tidyverse](https://tibble.tidyverse.org/)

## tidytable

[Mark Fairbanks](https://markfairbanks.github.io/tidytable/)

## data.table

[r-datatable](https://r-datatable.com/)

# Comparisons

[Albert Rapp, 2025](https://albert-rapp.de/posts/34_datatable_vs_dplyr/34_datatable_vs_dplyr.html)

[Manny Gimond, Colby 2019])https://mgimond.github.io/rug_2019_12/Index.html)

[EDAV 2021](https://jtr13.github.io/cc21fall2/comparison-among-base-r-tidyverse-and-datatable.html)

[exomemory for programming, 2021](https://megapteraphile.wordpress.com/2020/03/25/data-frame-vs-data-table-vs-tibble-in-r/)

[Wetlandscapes, 2020](https://wetlandscapes.com/blog/a-comparison-of-r-dialects/)

[R-bloggers 2024](https://www.r-bloggers.com/2024/03/the-truth-about-tidy-wrappers-2/)


# There are more fish in the sea...

Well, depends upon the fish. Here are some other table manipulation tools.

[arrow](https://arrow.apache.org/docs/r/)

[dtplyr](https://dtplyr.tidyverse.org/)

[tidyfst](https://hope-data-science.github.io/tidyfst/index.html)

[polars](https://pola-rs.github.io/r-polars/)

[tidypolars](https://tidypolars.etiennebacher.com/)