Contains three main functions (i.e., three pieces of furniture):
table1() which produces a well-formatted table of descriptives common as Table 1
in research articles, tableC() which produces a well-formatted table of correlations,
tableF() which provides frequency counts, and washer() which
is helpful in cleaning up the data. These furniture-themed functions are designed
to simplify common tasks in quantitative analysis. Other data summary and cleaning tools
are also available.
tidyverse, dplyr, rmarkdown, testthat, MASS, sjmisc

knitr, magrittr, cli, crayon, dplyr, rstudioapi, tibble

knitr, magrittr, cli, crayon, dplyr, rstudioapi, tibble,
forcats
pkgload, tidyverse, rmarkdown, testthat, MASS, sjmisc

Contains four main functions (i.e., four pieces of furniture):
table1() which produces a well-formatted table of descriptive statistics common as Table 1
in research articles, tableC() which produces a well-formatted table of correlations,
tableF() which provides frequency counts, and washer() which
is helpful in cleaning up the data. These furniture-themed functions are designed
to simplify common tasks in quantitative analysis. Other data summary and cleaning tools
are also available.

c(person("Tyson S.", "Barrett",
role=c("aut","cre"),
email = "t.barrett88@gmail.com",
comment = c(ORCID = "0000-0002-2137-1391")),
person("Emily", "Brignone", role="aut"),
person("Daniel J.", "Laxman", role="aut"))

knitr, magrittr, dplyr (>= 0.8.0), rstudioapi, tibble, crayon

Apply Mapping Functions in Parallel using Futures
listenv (>= 0.6.0), dplyr (>= 0.7.4), testthat
c(
person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut", "cre")),
person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut"))
)
Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
Davis Vaughan [aut, cre],
Matt Dancho [aut]

c(person(given = "Davis",
family = "Vaughan",
role = c("aut", "cre"),
email = "davis@rstudio.com"),
person(given = "Matt",
family = "Dancho",
role = "aut",
email = "mdancho@business-science.io"),
person(given = "RStudio",
role = "cph"))
Implementations of the family of map() functions
from 'purrr' that can be resolved using any 'future'-supported
backend, e.g. parallel on the local machine or distributed on a
compute cluster.
carrier, covr, dplyr (>= 0.7.4), knitr, listenv (>= 0.6.0),
magrittr, progressr, rmarkdown, testthat, withr, tidyselect
Davis Vaughan [aut, cre],
Matt Dancho [aut],
RStudio [cph]