recommend adding example data files for documentation

[kelly-sovacool]

The quickstart explains how to load files into tidytacos:

taco <- read_tidytacos("/path/to/my_data")

but then proceeds to use the urt dataset for the rest of the tutorial, which is already a tidytacos object.

It would be helpful to have an example file in your package in inst/extdata and use it in the tutorial, so users will have a better understanding of the expected file format.

Additionally, it would be best practice to have code in data-raw to show how urt and leaf were created. https://r-pkgs.org/data.html#sec-data-data-raw

[kelly-sovacool]

Moreover, the quick start guide directs users to the source code to learn about more options for importing data.

More options to import and convert your data can be found here.

I strongly discourage this. Novice users should not be expected to read the source code to learn how to use the package. This information should be distilled into a vignette for users to read.

[kelly-sovacool]

I see you added raw data to data-raw. The R package convention is to place raw data files in inst/extdata/ and include R scripts in data-raw/ showing how datasets in data/ were generated. data-raw/ is not installed with the package, so users will not be able to access it unless it is in inst/extdata/.

So this means your csv files currently in data-raw/ should be moved to inst/extdata/ (see https://r-pkgs.org/data.html#sec-data-extdata), and you should create R scripts in data-raw/ which show how the binary datasets in data/ were created (see https://r-pkgs.org/data.html#sec-data-sysdata).

[kelly-sovacool]

on a related note, this snippet in the README does not work for end users:

tidytacos/README.md

Line 60 in 5b585c2

taco <- read_tidytacos("data-raw/tidytacos/leaf")

once you move the example files to their proper locations as described above, you will be able to do something like this instead:

taco <- read_tidytacos(system.file("extdata", "tidytacos", "leaf", package = "tidytacos"))

similarly, it would be nice (but not strictly required) if your dada and phyloseq examples worked:

tidytacos/README.md

Lines 37 to 44 in 5b585c2

	```R
	taco <- from_dada(seqtab.nochim, taxa)
	```
	If you have data in the form of a phyloseq object you could convert it using:
	```R
	taco <- from_phyloseq(phylo_obj)
	```