Interactive Interfaces for Results Exploration
Shiny interfaces and graphical functions for multivariate analysis results exploration.
shiny (>= 0.11), DT, dplyr, tidyr, ggplot2, scatterD3 (>=
0.5.1)

shiny (>= 0.13), shinyBS, DT, dplyr, tidyr, ggplot2, scatterD3
(>= 0.6.1)
FactoMineR, ade4, testthat, knitr, rmarkdown

shiny (>= 0.14), DT, dplyr (>= 0.5), tidyr, ggplot2, highr,
scatterD3 (>= 0.8)
FactoMineR, ade4, GDAtools, MASS, testthat, knitr, rmarkdown

shiny (>= 0.14), DT, dplyr (>= 0.5), tidyr, ggplot2, highr,
scatterD3 (>= 0.8.1)
FactoMineR, ade4 (>= 1.7-5), GDAtools, MASS, testthat, knitr,
rmarkdown

shiny (>= 1.0), DT, dplyr (>= 0.7), tidyr, ggplot2, highr,
scatterD3 (>= 0.8.2)
FactoMineR, ade4 (>= 1.7-13), GDAtools, MASS, testthat,
knitr, rmarkdown

shiny (>= 1.0), DT, dplyr (>= 0.7), tidyr, ggplot2, highr,
formatR, scatterD3 (>= 0.9), RColorBrewer

shiny (>= 1.0), DT, dplyr (>= 0.7), tidyr, ggplot2, highr,
formatR, scatterD3 (>= 0.9.1), RColorBrewer
FactoMineR, ade4 (>= 1.7-13), GDAtools, MASS, quanteda,
quanteda.textmodels, testthat, knitr, rmarkdown

shiny (>= 1.0), DT, dplyr (>= 1.0), tidyr (>= 1.0), ggplot2,
highr, formatR, scatterD3 (>= 0.9.2), RColorBrewer

A Tool for Large-Scale Exploratory Analyses
person(given = "Jin",
family = "Kim",
role = c("aut", "cre"),
email = "jin.m.kim@yale.edu",
comment = c(ORCID = "https://orcid.org/0000-0002-5013-3958"))
Conduct numerous exploratory analyses in an instant with a
point-and-click interface. With one simple command, this tool
launches a Shiny App on the local machine. Drag and drop variables
in a data set to categorize them as possible independent,
dependent, moderating, or mediating variables. Then run dozens
(or hundreds) of analyses instantly to uncover any statistically
significant relationships among variables. Any relationship
thus uncovered should be tested in follow-up studies.
This tool is designed only to facilitate exploratory
analyses and should NEVER be used for p-hacking. Many of
the functions used in this package are direct copies of functions
in the R Package 'kim' and 'ezr'.
Selected References:
Chang et al. (2021) <https://CRAN.R-project.org/package=shiny>.
Chang et al. (2018) <https://CRAN.R-project.org/package=shinydashboard>.
Cohen (1988) <doi:10.4324/9780203771587>.
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Ioannidis (2005) <doi:10.1371/journal.pmed.0020124>
Kim (2021) <doi:10.5281/zenodo.4619237>.
Kim (2020) <https://CRAN.R-project.org/package=ezr>.
Simmons et al. (2011) <doi:10.1177/0956797611417632>
Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>.
Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>.
data.table, DT, ggplot2, ggridges, lemon, lm.beta, mediation,
remotes, shiny, shinydashboard, weights