Description: An R Client for the Europe PubMed Central RESTful Web Service
(see <https://europepmc.org/RestfulWebService> for more information). It
Packaged: 2017-02-22 16:32:05 UTC; najkojahn

Packaged: 2017-03-20 15:53:22 UTC; najkojahn

Imports: httr, jsonlite, plyr, dplyr, progress, urltools, xml2
Suggests: testthat, knitr, rmarkdown, ggplot2, purrr, readr
Packaged: 2017-12-11 14:18:55 UTC; najkojahn

Imports: httr, jsonlite, plyr, dplyr, progress, urltools, purrr, xml2
Suggests: testthat, knitr, rmarkdown, ggplot2, readr
Packaged: 2018-04-20 07:25:09 UTC; najkojahn

Imports: httr, jsonlite, plyr, dplyr, progress, urltools, purrr, xml2,
Packaged: 2021-09-01 13:19:54 UTC; najkojahn

Packaged: 2020-05-31 09:54:02 UTC; najkojahn

Title: Historical Populations of European Cities, 1500-1800
person("Jan", "De Vries", role = "aut"))
Description: This dataset contains population estimates of all European cities
with at least 10,000 inhabitants during the period 1500-1800. These data are
adapted from Jan De Vries, "European Urbanization, 1500-1800" (1984).

Description: This dataset contains populations of all European cities with at
least 10,000 inhabitants during the period 1500-1800. These data are adapted
from Jan De Vries, "European Urbanization, 1500-1800" (1984).

person("Lahti", "Leo", email = "louhos@googlegroups.com", role = c("aut", "cre")),
person("Biecek", "Przemyslaw" , role = "aut"),
person("Kainu", "Markus", role = "aut"),
person("Huovari", "Janne", role = "aut"))
Description: Tools to download data from the Eurostat database
http://ec.europa.eu/eurostat/ together with search and manipulation
Suggests: knitr, mapproj, plotrix, reshape2, rmarkdown, ggplot2,

Suggests: devtools, dplyr, ggplot2, knitr, mapproj, plotrix, rvest,
Packaged: 2016-01-19 11:50:21 UTC; antagomir

<http://ec.europa.eu/eurostat> together with search and manipulation
Packaged: 2016-03-10 23:43:42 UTC; antagomir

Suggests: dplyr, ggplot2, knitr, mapproj, plotrix, rvest, testthat

Imports: classInt, jsonlite, httr, sp, RColorBrewer, stringi, stringr,
Suggests: dplyr, ggplot2, knitr, mapproj, plotrix, rvest, rmarkdown,