Description

Read Linguistic Data in the Cross Linguistic Data Format (CLDF).

Description

Cross-Linguistic Data Format (CLDF) is a framework for storing cross-linguistic data, ensuring compatibility and ease of data exchange between different linguistic datasets see Forkel et al. (2018) <doi:10.1038/sdata.2018.205>. The 'rcldf' package is designed to facilitate the manipulation and analysis of these datasets by simplifying the loading, querying, and visualisation of CLDF datasets making it easier to conduct comparative linguistic analyses, manage language data, and apply statistical methods directly within R.

README.md

cran.r-project.org

rcldf - a R library for reading CLDF files

rcldf is a library for R to read Cross-Linguistic Data files (CLDF)

Installation

You can install rcldf directly from GitHub using devtools:

library(devtools)
install_github("SimonGreenhill/rcldf", dependencies = TRUE)

Usage

Load a CLDF dataset:

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')

Explore a CLDF dataset:

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

Load all the source information

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

Construct a 'wide' table with all foreign key entries filled in:

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       Description      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 still Name but the Name column from ParameterTable is now Name.ParameterTable`).

Load just one table:

Sometimes you just want to get one table:

df <- get_table_from('LanguageTable', '/path/to/dir/wals_1a_cldf')

Get the citation for a dataset:

print(df$citation)

Quickly get information on an unloaded dataset:

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

Cache Information

When you load a dataset from a URL, rcldf downloads the dataset and unpacks it to a cache directory. By default this is a temporary directory which will be deleted when you close R.

However, by specifying a directory or using tools::R_user_dir("rcldf", which = "cache") 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)

Tutorial

For a full tutorial see the vignette here: https://github.com/SimonGreenhill/rcldf/blob/main/vignettes/using-rcldf.Rmd

Version History

v1.5.1:

code optimisation. CLDF loading is now abou 40% faster.
misc changes for CRAN compliance.

v1.5.0:

better cache names.
add load_concepticon and load_clts to match load_glottolog.
make column name clash handling better in as.cldf.wide.
documented usage in tutorial vignette.

v1.4.1:

refactored caching.
removed clean_cache command until I can think through the security on this.

v1.4.0:

misc tweaks and changes for CRAN.
print.cldf now shows citation.
add load_glottolog convenience function.

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 run o <- load_bib(o).
removed citation() function as it namespace clashes with utils::citation, and is now added to the CLDF object as o$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.

Debugging:

logger::log_threshold(DEBUG)
o <- rcldf(...)

Miscellaneous:

How can I get D-PLACE data for a variable?

library(dplyr)
dplace <- cldf('https://github.com/D-PLACE/dplace-dataset-ea')
ea66 <- dplace$tables$ValueTable %>% filter(Var_ID=='EA066')

r-rcldf

rcldf - a R library for reading CLDF files

rcldf is a library for R to read Cross-Linguistic Data files (CLDF)

Installation

Usage

Load a CLDF dataset:

Explore a CLDF dataset:

Load all the source information

Construct a 'wide' table with all foreign key entries filled in:

Load just one table:

Get the citation for a dataset:

Quickly get information on an unloaded dataset:

Cache Information

Tutorial

Version History

Debugging:

Miscellaneous:

How can I get D-PLACE data for a variable?

Version

License

Status

Source

Homepage

Platforms (76)

rcldf - a R library for reading CLDF files

rcldf is a library for R to read Cross-Linguistic Data files (CLDF)

Installation

Usage

Load a CLDF dataset:

Explore a CLDF dataset:

Load all the source information

Construct a 'wide' table with all foreign key entries filled in:

Load just one table:

Get the citation for a dataset:

Quickly get information on an unloaded dataset:

Cache Information

Tutorial

Version History

Debugging:

Miscellaneous:

How can I get D-PLACE data for a variable?

Version

License

Status

Source

Homepage

Platforms76 (76)

Platforms (76)