Contains two main functions (i.e., two pieces of furniture):
table1() which produces a well-formatted table of descriptives common as Table 1
in research articles and washer() which is helpful in cleaning up the data. In addition,
long() and wide(), built on the stats::reshape(), can help reformat the data.
These furniture functions are designed to simplify common tasks in
quantitative analysis. Other data summary and cleaning tools are also available.
tidyverse, rmarkdown, testthat, MASS, sjmisc

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,
and washer() which is helpful in cleaning up the data. In addition,
long() and wide(), built on the stats::reshape(), can help reformat the data.
These furniture 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.barrett@aggiemail.usu.edu",
comment = c(ORCID = "0000-0002-2137-1391")),
person("Emily", "Brignone", role="aut"),
person("Daniel J.", "Laxman", role="aut"))
Tyson S. Barrett [aut, cre] (0000-0002-2137-1391),
Emily Brignone [aut],
Daniel J. Laxman [aut]

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. In addition,
long() and wide(), built on the stats::reshape(), can help reformat the data.
These furniture-themed functions are designed to simplify common tasks in
quantitative analysis. Other data summary and cleaning tools are also available.
Tyson S. Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>),
Emily Brignone [aut],
Daniel J. Laxman [aut]