c(
person("Jorge", "Cimentada", email = "cimentadaj@gmail.com", role = c("aut", "cre")),
person("Thomas", "Leeper", role = "rev", comment = "Thomas reviewed the package for rOpensci,see https://github.com/ropensci/software-review/issues/201"),
person("Nujcharee", "Haswell", role = "rev", comment = "Nujcharee reviewed the package for rOpensci, see https://github.com/ropensci/software-review/issues/201"),
person("Jorge", "Lopez", email = "jorge@loperez.com", role = c("ctb")),
person("François", "Briatte", email = "f.briatte@gmail.com", role = c("ctb"))
)
Jorge Cimentada [aut, cre],
Thomas Leeper [rev] (Thomas reviewed the package for rOpensci,see
https://github.com/ropensci/software-review/issues/201),
Nujcharee Haswell [rev] (Nujcharee reviewed the package for rOpensci,
see https://github.com/ropensci/software-review/issues/201),
Jorge Lopez [ctb],
François Briatte [ctb]

Fundamentos De Estadistica Descriptiva e Inferencial
c(person(given = "Vicente",
family = "Coll-Serrano",
role = c("aut", "cre"),
email = "estadistic@uv.es"),
person(given = "Rosario",
family = "Martínez Verdú",
role = "aut"),
person(given = "Cristina",
family = "Pardo-García",
role = "aut"))
Vicente Coll-Serrano [aut, cre],
Rosario Martínez Verdú [aut],
Cristina Pardo-García [aut]
Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadística descriptiva e inferencial. Las funciones contenidas en el paquete 'estadistica' cubren los conceptos básicos estudiados en un curso introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web apps para facilitar su comprensión. This package aims to help the teaching-learning process of descriptive and inferential statistics. The functions contained in the package 'estadistica' cover the basic concepts studied in a statistics introductory course. Many concepts are illustrated with dynamic graphs or web apps to make the understanding easier. See: Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019, ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .
tidyverse, dplyr, tidyr, plotly, ggplot2, rio, data.table,
magrittr, grid, shiny, shinydashboard