c(person(given = "Riva",
family = "Quiroga",
role = c("aut", "cre"),
email = "riva.quiroga@uc.cl",
comment = c(ORCID = "0000-0002-1147-4135")),
person(given = "Edgar",
family = "Ruiz",
role = "aut",
email = "edgararuiz@gmail.com"),
person(given = "Mauricio",
family = "Vargas",
role = "aut",
email = "mvargas@dcc.uchile.cl"),
person(given = "Mauro",
family = "Lepore",
role = "aut",
email = "maurolepore@gmail.com",
comment = c(ORCID = "0000-0002-1986-7988")),
person(given = "Rayna",
family = "Harris",
role = "ctb",
email = "rayna.harris@gmail.com"),
person(given = "Daniela",
family = "Vasquez",
role = "ctb",
email = "daniela.vazquez@gmail.com"),
person(given = "Joshua",
family = "Kunst",
role = "ctb",
email = "jbkunst@gmail.com"))
Provee una versión traducida de los siguientes
conjuntos de datos: 'airlines', 'airports', 'AwardsManagers',
'babynames', 'Batting', 'credit_data', 'diamonds', 'faithful', 'fueleconomy',
'Fielding', 'flights', 'gapminder', 'gss_cat', 'iris', 'Managers',
'mpg', 'mtcars', 'atmos', 'palmerpenguins', 'People, 'Pitching', 'planes',
'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b',
'table5', 'vehicles', 'weather', 'who'.  English: It provides a
Spanish translated version of the datasets listed above.
babynames, dplyr, forcats, fueleconomy, gapminder, ggplot2,
Lahman, nasaweather, nycflights13, palmerpenguins, modeldata
(>= 1.0.0), rlang, tibble, tidyr, yaml
Riva Quiroga [aut, cre] (<https://orcid.org/0000-0002-1147-4135>),
Edgar Ruiz [aut],
Mauricio Vargas [aut],
Mauro Lepore [aut] (<https://orcid.org/0000-0002-1986-7988>),
Rayna Harris [ctb],
Daniela Vasquez [ctb],
Joshua Kunst [ctb]

Preparation of Object Dating Ranges for Density Plots (Aoristic
Analysis)
c(person(given = "Lisa",
family = "Steinmann",
role = c("aut", "cre"),
email = "lisa.steinmann@rub.de",
comment = c(ORCID = "0000-0002-2215-1243")),
person(given = "Barbora",
family = "Weissova",
role = "ctb",
email = "barbora.weissova@rub.de",
comment = c(ORCID = "0000-0002-3297-6855")))
Converting date ranges into dating 'steps' eases
the visualization of changes in e.g. pottery consumption, style and
other variables over time. This package provides tools to process and
prepare data for visualization and employs the concept of aoristic
analysis.
covr, devtools, dplyr, forcats, ggplot2, ggridges, knitr,
readxl, reshape2, rmarkdown, stringr, testthat
Lisa Steinmann [aut, cre] (<https://orcid.org/0000-0002-2215-1243>),
Barbora Weissova [ctb] (<https://orcid.org/0000-0002-3297-6855>)