You can install rcldf directly from GitHub using devtools
:
library(devtools)
install_github("SimonGreenhill/rcldf", dependencies = TRUE)
You create a cldf
object by giving either a path to the directory the CLDF
is stored in or a URL where we can find the CLDF dataset.
(i.e. where the metadata.json file lives).
> df <- cldf('/path/to/dir/wals_1a_cldf')
> df <- cldf('/path/to/dir/wals_1a_cldf/StructureDataset-metadata.json')
> df <- cldf("https://zenodo.org/record/7844558/files/grambank/grambank-v1.0.3.zip?download=1")
> df <- cldf('https://github.com/phlorest/greenhill_et_al2023')
A cldf object has various bits of information
> summary(df)
A Cross-Linguistic Data Format (CLDF) dataset:
Name: My Dataset
Type: http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
Tables:
1/4: CodeTable (4 columns, 5 rows)
2/4: LanguageTable (9 columns, 563 rows)
3/4: ParameterTable (6 columns, 1 rows)
4/4: ValueTable (7 columns, 563 rows)
Sources: 947
Each table is attached to the df$tables list:
> names(df$tables)
[1] "ValueTable" "LanguageTable" "ParameterTable" "CodeTable"
...and we can access these tables:
> df$tables$LanguageTable
# A tibble: 563 x 9
ID Name Macroarea Latitude Longitude Glottocode ISO639P3code Genus Family
<chr> <chr> <chr> <dbl> <dbl> <chr> <chr> <chr> <chr>
1 abi Abipón NA -29 -61 abip1241 axb South Gu… Guaicuru…
2 abk Abkhaz NA 43.1 41 abkh1244 abk Northwes… Northwes…
3 ach Aché NA -25.2 -55.2 ache1246 guq Tupi-Gua… Tupian
# OR
> df$tables$ParameterTable
# A tibble: 1 x 6
ID Name Description Authors Url Area
<chr> <chr> <chr> <chr> <chr> <chr>
1 1A Consonant Inventori… NA Ian Maddieson http://wals.info/featur… Phonolo…
# OR
> df$tables$ValueTable
# A tibble: 563 x 7
ID Language_ID Parameter_ID Value Code_ID Comment Source
<chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 1A-abi abi 1A 2 1A-2 NA Najlis-1966
2 1A-abk abk 1A 5 1A-5 NA Hewitt-1979
3 1A-ach ach 1A 1 1A-1 NA Susnik-1974
4 1A-acm acm 1A 2 1A-2 NA Olmsted-1966;Olmsted-1964
CLDF datasets have sources stored in BibTeX format. We don't load them by default, as it can take a long time to parse the BibTeX file correctly.
You can load them like this:
o <- cldf('/path/to/dir/wals_1a_cldf', load_bib=TRUE)
# or if you loaded the CLDF without sources the first time.
o <- read_bib(o)
...and then access them by:
o$sources
Sometimes people want to have all the data from a CLDF dataset as one dataframe.
Use as.cldf.wide
to do this, passing it the name of a table to act as the base.
This will take the base table, and resolve all foreign keys (usually *_ID
) into
their own columns.
For example, this dataset has a CodeTable
which connects to the ParameterTable
via Parameter_ID
:
> df$tables$CodeTable
# A tibble: 5 x 4
ID Parameter_ID Name Description
<chr> <chr> <chr> <chr>
1 1A-1 1A Small NA
2 1A-2 1A Moderately small NA
Using as.cldf.wide
we can combine all the information from ParameterTable
into
the CodeTable
:
> as.cldf.wide(df, 'CodeTable')
# A tibble: 5 x 9
ID Parameter_ID Name.CodeTable Description.Cod… Name.ParameterTable Description.Par… Authors
<chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 1A-1 1A Small A small thing Consonant Inve… NA Ian Ma…
2 1A-2 1A Moderatel… a moderately sm… Consonant Inve… NA Ian Ma…
3 1A-3 1A Average an average thing Consonant Inve… NA Ian Ma…
4 1A-4 1A Moderatel… a moderately la… Consonant Inve… NA Ian Ma…
5 1A-5 1A Large a large thing Consonant Inve… NA Ian Ma…
# … with 2 more variables: Url <chr>, Area <chr>
Note that name clashes between the two tables are resolved by appending the tablename
(e.g. the column Name
in the original CodeTable
is now Name.CodeTable
).
Sometimes you just want to get one table:
df <- get_table_from('LanguageTable', '/path/to/dir/wals_1a_cldf')
print(df$citation)
Sometimes you want to know which version of a dataset you have without loading the whole dataset:
> get_details('/path/to/examples/wals_1A_cldf')
Title Path Size Citation ConformsTo
1 The Dataset /path/to/examples/wals_1A_cldf 5432 (...) http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
When you load a dataset from a URL, rcldf downloads the dataset and unpacks it to a cache directory. This means you can re-use the dataset later.
To see where downloads will be saved:
> get_cache_dir()
[1] "/Users/simon/Library/Caches/org.R-project.R/R/rcldf"
To see what datasets you've downloaded:
> list_cache_files()
Title
1 glottolog/glottolog: Glottolog database 5.0 as CLDF
2 Grambank v1.0
3 hueblerstability
4 McElhanon 1967 Huon Peninsula data
5 World Atlas of Classifier Languages
6 The World Atlas of Language Structures Online
Path Size
1 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/glottolog-cldf-5.0 544
2 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/grambank-1.0.3 640
3 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/hueblerstability-1.1 512
4 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/huon 288
5 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/wacl-1.0.0 544
6 /Users/simon/Library/Caches/org.R-project.R/R/rcldf/wals-2020.3 608
Citation
1 ✂
2 ✂
3 ✂
4 ✂
5 ✂
6 ✂
ConformsTo
1 http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
2 http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
3 http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
4 http://cldf.clld.org/v1.0/terms.rdf#Wordlist
5 http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
6 http://cldf.clld.org/v1.0/terms.rdf#StructureDataset
>
You can re-use datasets in your cache:
cldf('/Users/simon/Library/Caches/org.R-project.R/R/rcldf/glottolog-cldf-5.0', load_bib=FALSE)
A CLDF dataset with 7 tables (CodeTable, LanguageTable, MediaTable, names.csv, ParameterTable, TreeTable, ValueTable)
To remove the cache dir and cleanup:
> clean_cache()
v1.3.1:
- fixed usage documentation of
load_bib
v1.3.0:
- implemented download cache system
- make
resolve_path
more reliable. - added
get_details
utility. - source information is no longer loaded by default, as this is error prone and slow.
To retrieve source information either explicitly pass the load_bib=TRUE flag to the
cldf
constructor or runo <- load_bib(o)
. - removed
citation()
function as it namespace clashes withutils::citation
, and is now added to the CLDF object aso$citation
. - added more documentation
v1.2.0:
- made url handling better
- better handling of datatypes for CLDF
- fix crash when a table does not exist despite the metadata saying it does
- documented debugging details and added more debugging information
- made nullify more robust
v1.1.0:
- fixed zip loading
v1.0.0:
- first release
logger::log_threshold(DEBUG)
o <- rcldf(...)