inst/extdata/README.md
In subugoe/hoad: Hybrid Open Access Dashboard
Datasets
Hybrid Open Access Article Dataset
hybrid_publications.csv
hybrid_publications.csv contains hybrid open access articles found via Crossref, information about the overall publication volume, and, if available, cost information from the Open APC Initiative.
Documentation:
|Variable |Description
|:--------------------------|:------------------------------------------------------------------|
|license |Normalized open content license statement |
|journal_title |Most frequent journal title used by Crossref |
|publisher |Most frequent publisher name used by Crossref |
|doi_oa |DOI of the hybrid open access article |
|issued |Earliest publication year |
|yearly_jn_volume |Yearly article volume per journal |
|license_ref_n |Yearly article volume under the license license |
|yearly_publisher_volume |Yearly article volume of all journals in the dataset per publisher |
|yearly_all |Yearly article volume investigated |
|period |Year of reporting to Open APC |
|euro |The amount that was paid in EURO. Includes VAT and additional fees |
|hybrid_type |Spending source (Open APC, SCOAP3) |
|institution |Top-level organisation which reported article to Open APC |
|country |Country of origin (iso3c) |
|country_name |Country of origin (name) |
|license_url |License URL |
|host |Email host first or corresponding author |
|subdomain |Email subdomain first or corresponding author |
|domain |Email domain first or corresponding author |
|suffix |Email suffix first or corresponding author |
Tibble view in R:
library(readr)
readr::read_csv("hybrid_publications.csv")
#> # A tibble: 207,602 x 20
#> license journal_title publisher doi_oa issued yearly_jn_volume
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 2 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 3 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 4 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 5 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 6 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 7 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 8 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 9 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 10 cc-by Soft Computi… Springer… 10.10… 2017 505
#> # … with 207,592 more rows, and 14 more variables: license_ref_n <int>,
#> # yearly_publisher_volume <int>, yearly_all <int>, institution <chr>,
#> # period <int>, euro <dbl>, hybrid_type <chr>, country <chr>,
#> # country_name <chr>, license_url <chr>, host <chr>, subdomain <chr>,
#> # domain <chr>, suffix <chr>
Re-used data sources
Open data from the Open APC Initiative and Crossref were used to identify hybrid open access journals, as well as to obtain information about the publication activities of these journals.
Open APC Initiative
oapc_hybrid.csv
This dataset was obtained from the Open APC Initiative and was used to determine hybrid open access journals. It also includes data about transformative aggrements, which has no pricing information, as well as country information.
Data schema: https://github.com/OpenAPC/openapc-de/wiki/schema
Tibble view in R:
library(readr)
readr::read_csv("oapc_hybrid.csv")
#> # A tibble: 62,960 x 22
#> institution period euro doi is_hybrid publisher journal_full_ti…
#> <chr> <int> <chr> <chr> <lgl> <chr> <chr>
#> 1 Aberystwyt… 2015 <NA> 10.1… TRUE Springer… Soft Computing
#> 2 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Geoheritage
#> 3 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Studies in Phil…
#> 4 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Language Policy
#> 5 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Conservation Ge…
#> 6 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Sports Medicine
#> 7 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Journal of Auti…
#> 8 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Experimental Br…
#> 9 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Morphology
#> 10 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… The Internation…
#> # … with 62,950 more rows, and 15 more variables: issn <chr>,
#> # issn_print <chr>, issn_electronic <chr>, issn_l <chr>,
#> # license_ref <chr>, indexed_in_crossref <lgl>, pmid <int>, pmcid <chr>,
#> # ut <chr>, url <chr>, doaj <lgl>, agreement <chr>, hybrid_type <chr>,
#> # country <chr>, country_name <chr>
Crossref
jn_facets_df.json
JSON-ND file. Includes the following metadata from Crossref:
|Variable |Description |
|:----------------------------|:------------------------------------------------------------------|
|issn |ISSNs obtained from Open APC dataset used to query Crossref API |
|year_published |Lists yearly journal volume obtained from Crossref API facets |
|license_refs |Obtained Licence URIs |
|journal_title |Most frequent journal title |
|publisher |Most frequent publisher name |
How to load into R?
library(jsonlite)
jsonlite::stream_in(file("jn_facets_df.json"), simplifyDataFrame = FALSE)
hybrid_license_dois.json
JSON-ND file documenting articles found for every journal and open license URI.
Variable |Description
|:--------------------------|:--------------------------------------------------------------|
|dois |List fo DOIs |
|issn |ISSN obtained from Open APC dataset used to query Crossref API |
|license |Open License URI (non-normalised) |
library(jsonlite)
jsonlite::stream_in(file("hybrid_license_dois.json"), simplifyDataFrame = FALSE)
hybrid_license_md.json
data/hybrid_license_md.jsoncontains full metadata of all open access articles found as it was parsed by the rcrossref::cr_works() function. Unfortunately, this data file is simply too large to be shared via GitHub. Please contact me, if you want access to it.
Tibble view in R:
library(jsonlite)
library(dplyr)
jsonlite::stream_in(file("../data/hybrid_license_md.json"), verbose = FALSE) %>%
dplyr::as_data_frame()
#> # A tibble: 218,621 x 17
#> container.title created deposited published.print published.online doi
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Soft Computing 2016-0… 2017-08-… 2017-09 2016-06-17 10.1…
#> 2 Soft Computing 2016-0… 2017-08-… 2017-09 2016-06-23 10.1…
#> 3 Soft Computing 2016-0… 2016-07-… 2016-08 2016-07-12 10.1…
#> 4 Soft Computing 2016-0… 2017-11-… 2017-12 2016-08-03 10.1…
#> 5 Soft Computing 2016-0… 2017-09-… 2017-10 2016-08-09 10.1…
#> 6 Soft Computing 2016-0… 2017-06-… 2017-01 2016-09-19 10.1…
#> 7 Soft Computing 2016-0… 2017-06-… 2017-01 2016-09-28 10.1…
#> 8 Soft Computing 2016-1… 2017-06-… 2017-01 2016-10-05 10.1…
#> 9 Soft Computing 2016-1… 2017-06-… 2017-01 2016-10-11 10.1…
#> 10 Soft Computing 2016-1… 2018-03-… 2018-03 2016-11-09 10.1…
#> # … with 218,611 more rows, and 11 more variables: indexed <chr>,
#> # issn <chr>, issued <chr>, member <chr>, publisher <chr>, type <chr>,
#> # url <chr>, funder <list>, link <list>, license <list>, subject <chr>
Count data
indicator.csv
indicator.csv contains count data about the examined yearly journal volume.
Coding scheme:
|Variable |Description
|:--------------------------|:------------------------------------------------------------------|
|journal_title |Most frequent journal title used by Crossref |
|publisher |Most frequent publisher name used by Crossref |
|year |Earliest publishing year |
|yearly_jn_volume |Yearly article volume per journal |
|license |Open License URI (semi-normalised) |
|license_ref_n |Yearly article volume under the license license |
|yearly_publisher_volume |Yearly article volume of all journals in the dataset per publisher |
Tibble view in R:
library(readr)
readr::read_csv("indicator.csv")
#> # A tibble: 42,370 x 7
#> journal_title publisher year yearly_jn_volume license license_ref_n
#> <chr> <chr> <int> <int> <chr> <int>
#> 1 Soft Computi… Springer… 2018 706 http:/… 25
#> 2 Soft Computi… Springer… 2017 505 http:/… 19
#> 3 Soft Computi… Springer… 2019 466 http:/… 12
#> 4 Soft Computi… Springer… 2016 466 http:/… 15
#> 5 Soft Computi… Springer… 2015 428 http:/… 14
#> 6 Soft Computi… Springer… 2014 349 http:/… 1
#> 7 Soft Computi… Springer… 2014 349 http:/… 8
#> 8 Soft Computi… Springer… 2013 234 http:/… 4
#> 9 Geoheritage Springer… 2017 65 http:/… 3
#> 10 Geoheritage Springer… 2018 62 http:/… 6
#> # … with 42,360 more rows, and 1 more variable:
#> # yearly_publisher_volume <int>
Flipped journals
To detect fully open acces journals, the Directory of Open Access Journals was checked. flipped_jns_doaj.csv contains the so detected articles published in fully open access journals.
library(readr)
readr::read_csv("flipped_jns_doaj.csv")
#> # A tibble: 14,550 x 9
#> license journal_title publisher dois issued issn_type.x issn
#> <chr> <chr> <chr> <chr> <int> <chr> <chr>
#> 1 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 2 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 3 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 4 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 5 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 6 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 7 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 8 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 9 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 10 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> # … with 14,540 more rows, and 2 more variables: year_flipped <int>,
#> # issn_type.y <chr>
Furthermore, flipped_jns.csv contains journals that are probably flipped, indicated by a proportion of open access article volume larger than 0.95 in at least two years.
library(readr)
readr::read_csv("flipped_jns.csv")
#> # A tibble: 33 x 6
#> journal_title publisher year yearly_jn_volume n_year prop
#> <chr> <chr> <int> <int> <int> <dbl>
#> 1 3 Biotech Springer Nature 2014 78 77 0.987
#> 2 3 Biotech Springer Nature 2015 48 47 0.979
#> 3 3 Biotech Springer Nature 2016 254 253 0.996
#> 4 Applied Nanoscience Springer Nature 2013 104 102 0.981
#> 5 Applied Nanoscience Springer Nature 2014 103 101 0.981
#> 6 Applied Nanoscience Springer Nature 2015 125 125 1
#> 7 Applied Nanoscience Springer Nature 2016 30 30 1
#> 8 Applied Nanoscience Springer Nature 2017 89 89 1
#> 9 EPMA Journal Springer Nature 2013 25 25 1
#> 10 EPMA Journal Springer Nature 2014 187 187 1
#> # … with 23 more rows
Data re-use and licenses
Datasets are released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or distribute these materials in any form, for any purpose, commercial or non-commercial, and by any means.
Crossref asserts no claims of ownership to individual items of bibliographic metadata and associated Digital Object Identifiers (DOIs) acquired through the use of the Crossref Free Services. Individual items of bibliographic metadata and associated DOIs may be cached and incorporated into the user's content and systems.
Open APC Data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/.
subugoe/hoad documentation built on Feb. 22, 2022, 9:53 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Datasets
Hybrid Open Access Article Dataset
hybrid_publications.csv
hybrid_publications.csv contains hybrid open access articles found via Crossref, information about the overall publication volume, and, if available, cost information from the Open APC Initiative.
Documentation:
|Variable |Description
|:--------------------------|:------------------------------------------------------------------|
|license |Normalized open content license statement |
|journal_title |Most frequent journal title used by Crossref |
|publisher |Most frequent publisher name used by Crossref |
|doi_oa |DOI of the hybrid open access article |
|issued |Earliest publication year |
|yearly_jn_volume |Yearly article volume per journal |
|license_ref_n |Yearly article volume under the license license |
|yearly_publisher_volume |Yearly article volume of all journals in the dataset per publisher |
|yearly_all |Yearly article volume investigated |
|period |Year of reporting to Open APC |
|euro |The amount that was paid in EURO. Includes VAT and additional fees |
|hybrid_type |Spending source (Open APC, SCOAP3) |
|institution |Top-level organisation which reported article to Open APC |
|country |Country of origin (iso3c) |
|country_name |Country of origin (name) |
|license_url |License URL |
|host |Email host first or corresponding author |
|subdomain |Email subdomain first or corresponding author |
|domain |Email domain first or corresponding author |
|suffix |Email suffix first or corresponding author |
Tibble view in R:
library(readr)
readr::read_csv("hybrid_publications.csv")
#> # A tibble: 207,602 x 20
#> license journal_title publisher doi_oa issued yearly_jn_volume
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 2 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 3 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 4 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 5 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 6 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 7 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 8 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 9 cc-by Soft Computi… Springer… 10.10… 2016 466
#> 10 cc-by Soft Computi… Springer… 10.10… 2017 505
#> # … with 207,592 more rows, and 14 more variables: license_ref_n <int>,
#> # yearly_publisher_volume <int>, yearly_all <int>, institution <chr>,
#> # period <int>, euro <dbl>, hybrid_type <chr>, country <chr>,
#> # country_name <chr>, license_url <chr>, host <chr>, subdomain <chr>,
#> # domain <chr>, suffix <chr>
Re-used data sources
Open data from the Open APC Initiative and Crossref were used to identify hybrid open access journals, as well as to obtain information about the publication activities of these journals.
Open APC Initiative
oapc_hybrid.csv
This dataset was obtained from the Open APC Initiative and was used to determine hybrid open access journals. It also includes data about transformative aggrements, which has no pricing information, as well as country information.
Data schema: https://github.com/OpenAPC/openapc-de/wiki/schema
Tibble view in R:
library(readr)
readr::read_csv("oapc_hybrid.csv")
#> # A tibble: 62,960 x 22
#> institution period euro doi is_hybrid publisher journal_full_ti…
#> <chr> <int> <chr> <chr> <lgl> <chr> <chr>
#> 1 Aberystwyt… 2015 <NA> 10.1… TRUE Springer… Soft Computing
#> 2 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Geoheritage
#> 3 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Studies in Phil…
#> 4 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Language Policy
#> 5 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Conservation Ge…
#> 6 Aberystwyt… 2016 <NA> 10.1… TRUE Springer… Sports Medicine
#> 7 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Journal of Auti…
#> 8 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Experimental Br…
#> 9 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… Morphology
#> 10 Anglia Rus… 2016 <NA> 10.1… TRUE Springer… The Internation…
#> # … with 62,950 more rows, and 15 more variables: issn <chr>,
#> # issn_print <chr>, issn_electronic <chr>, issn_l <chr>,
#> # license_ref <chr>, indexed_in_crossref <lgl>, pmid <int>, pmcid <chr>,
#> # ut <chr>, url <chr>, doaj <lgl>, agreement <chr>, hybrid_type <chr>,
#> # country <chr>, country_name <chr>
Crossref
jn_facets_df.json
JSON-ND file. Includes the following metadata from Crossref:
|Variable |Description |
|:----------------------------|:------------------------------------------------------------------|
|issn |ISSNs obtained from Open APC dataset used to query Crossref API |
|year_published |Lists yearly journal volume obtained from Crossref API facets |
|license_refs |Obtained Licence URIs |
|journal_title |Most frequent journal title |
|publisher |Most frequent publisher name |
How to load into R?
library(jsonlite)
jsonlite::stream_in(file("jn_facets_df.json"), simplifyDataFrame = FALSE)
hybrid_license_dois.json
JSON-ND file documenting articles found for every journal and open license URI.
Variable |Description
|:--------------------------|:--------------------------------------------------------------|
|dois |List fo DOIs |
|issn |ISSN obtained from Open APC dataset used to query Crossref API |
|license |Open License URI (non-normalised) |
library(jsonlite)
jsonlite::stream_in(file("hybrid_license_dois.json"), simplifyDataFrame = FALSE)
hybrid_license_md.json
data/hybrid_license_md.jsoncontains full metadata of all open access articles found as it was parsed by the rcrossref::cr_works() function. Unfortunately, this data file is simply too large to be shared via GitHub. Please contact me, if you want access to it.
Tibble view in R:
library(jsonlite)
library(dplyr)
jsonlite::stream_in(file("../data/hybrid_license_md.json"), verbose = FALSE) %>%
dplyr::as_data_frame()
#> # A tibble: 218,621 x 17
#> container.title created deposited published.print published.online doi
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Soft Computing 2016-0… 2017-08-… 2017-09 2016-06-17 10.1…
#> 2 Soft Computing 2016-0… 2017-08-… 2017-09 2016-06-23 10.1…
#> 3 Soft Computing 2016-0… 2016-07-… 2016-08 2016-07-12 10.1…
#> 4 Soft Computing 2016-0… 2017-11-… 2017-12 2016-08-03 10.1…
#> 5 Soft Computing 2016-0… 2017-09-… 2017-10 2016-08-09 10.1…
#> 6 Soft Computing 2016-0… 2017-06-… 2017-01 2016-09-19 10.1…
#> 7 Soft Computing 2016-0… 2017-06-… 2017-01 2016-09-28 10.1…
#> 8 Soft Computing 2016-1… 2017-06-… 2017-01 2016-10-05 10.1…
#> 9 Soft Computing 2016-1… 2017-06-… 2017-01 2016-10-11 10.1…
#> 10 Soft Computing 2016-1… 2018-03-… 2018-03 2016-11-09 10.1…
#> # … with 218,611 more rows, and 11 more variables: indexed <chr>,
#> # issn <chr>, issued <chr>, member <chr>, publisher <chr>, type <chr>,
#> # url <chr>, funder <list>, link <list>, license <list>, subject <chr>
Count data
indicator.csv
indicator.csv contains count data about the examined yearly journal volume.
Coding scheme:
|Variable |Description
|:--------------------------|:------------------------------------------------------------------|
|journal_title |Most frequent journal title used by Crossref |
|publisher |Most frequent publisher name used by Crossref |
|year |Earliest publishing year |
|yearly_jn_volume |Yearly article volume per journal |
|license |Open License URI (semi-normalised) |
|license_ref_n |Yearly article volume under the license license |
|yearly_publisher_volume |Yearly article volume of all journals in the dataset per publisher |
Tibble view in R:
library(readr)
readr::read_csv("indicator.csv")
#> # A tibble: 42,370 x 7
#> journal_title publisher year yearly_jn_volume license license_ref_n
#> <chr> <chr> <int> <int> <chr> <int>
#> 1 Soft Computi… Springer… 2018 706 http:/… 25
#> 2 Soft Computi… Springer… 2017 505 http:/… 19
#> 3 Soft Computi… Springer… 2019 466 http:/… 12
#> 4 Soft Computi… Springer… 2016 466 http:/… 15
#> 5 Soft Computi… Springer… 2015 428 http:/… 14
#> 6 Soft Computi… Springer… 2014 349 http:/… 1
#> 7 Soft Computi… Springer… 2014 349 http:/… 8
#> 8 Soft Computi… Springer… 2013 234 http:/… 4
#> 9 Geoheritage Springer… 2017 65 http:/… 3
#> 10 Geoheritage Springer… 2018 62 http:/… 6
#> # … with 42,360 more rows, and 1 more variable:
#> # yearly_publisher_volume <int>
Flipped journals
To detect fully open acces journals, the Directory of Open Access Journals was checked. flipped_jns_doaj.csv contains the so detected articles published in fully open access journals.
library(readr)
readr::read_csv("flipped_jns_doaj.csv")
#> # A tibble: 14,550 x 9
#> license journal_title publisher dois issued issn_type.x issn
#> <chr> <chr> <chr> <chr> <int> <chr> <chr>
#> 1 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 2 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 3 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 4 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 5 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 6 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 7 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 8 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 9 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> 10 http:/… Gynecologica… Springer… 10.1… 2017 issn_2 1613…
#> # … with 14,540 more rows, and 2 more variables: year_flipped <int>,
#> # issn_type.y <chr>
Furthermore, flipped_jns.csv contains journals that are probably flipped, indicated by a proportion of open access article volume larger than 0.95 in at least two years.
library(readr)
readr::read_csv("flipped_jns.csv")
#> # A tibble: 33 x 6
#> journal_title publisher year yearly_jn_volume n_year prop
#> <chr> <chr> <int> <int> <int> <dbl>
#> 1 3 Biotech Springer Nature 2014 78 77 0.987
#> 2 3 Biotech Springer Nature 2015 48 47 0.979
#> 3 3 Biotech Springer Nature 2016 254 253 0.996
#> 4 Applied Nanoscience Springer Nature 2013 104 102 0.981
#> 5 Applied Nanoscience Springer Nature 2014 103 101 0.981
#> 6 Applied Nanoscience Springer Nature 2015 125 125 1
#> 7 Applied Nanoscience Springer Nature 2016 30 30 1
#> 8 Applied Nanoscience Springer Nature 2017 89 89 1
#> 9 EPMA Journal Springer Nature 2013 25 25 1
#> 10 EPMA Journal Springer Nature 2014 187 187 1
#> # … with 23 more rows
Data re-use and licenses
Datasets are released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or distribute these materials in any form, for any purpose, commercial or non-commercial, and by any means.
Crossref asserts no claims of ownership to individual items of bibliographic metadata and associated Digital Object Identifiers (DOIs) acquired through the use of the Crossref Free Services. Individual items of bibliographic metadata and associated DOIs may be cached and incorporated into the user's content and systems.
Open APC Data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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