djnavarro commented on code in PR #14514:
URL: https://github.com/apache/arrow/pull/14514#discussion_r1012364256
##########
r/vignettes/data_objects.Rmd:
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@@ -0,0 +1,206 @@
+---
+title: "Data objects"
+description: >
+ Learn about Scalar, Array, Table, and Dataset objects in `arrow`
+ (among others), how they relate to each other, as well as their
+ relationships to familiar R objects like data frames and vectors
+output: rmarkdown::html_vignette
+---
+
+This article describes the various data object types supplied by `arrow`, and
documents how these objects are structured.
+
+```{r include=FALSE}
+library(arrow, warn.conflicts = FALSE)
+```
+
+The `arrow` package supplies several object classes that are used to represent
data. `RecordBatch`, `Table`, and `Dataset` objects are two-dimensional
rectangular data structures used to store tabular data. For columnar,
one-dimensional data, the `Array` and `ChunkedArray` classes are provided.
Finally, `Scalar` objects represent individual values. The table below
summarizes these objects and shows how you can create new instances using the
[`R6`](https://r6.r-lib.org/) class object, as well as convenience functions
that provide the same functionality in a more traditional R-like fashion:
+
+| Dim | Class | How to create an instance |
Convenience function |
+| --- | -------------- | ----------------------------------------------|
--------------------------------------------- |
+| 0 | `Scalar` | `Scalar$create(value, type)` |
|
+| 1 | `Array` | `Array$create(vector, type)` |
|
Review Comment:
Ah awesome I somehow did not know this. Will add it!
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