readr, haven, jsonlite, readxl, magrittr, textreadr, tibble,
stringr, writexl, purrr, mboxr, vroom, rmarkdown, utils
testthat, knitr, striprtf, xml2, tesseract, dplyr, rvest,
docxtractr, antiword, covr

haven, jsonlite, readxl, magrittr, textreadr, tibble, stringr,
writexl, purrr, mboxr, vroom, rmarkdown, utils
testthat, knitr, striprtf, xml2, dplyr, rvest, antiword, covr

haven, jsonlite, readxl, magrittr, textreadr, tibble, stringr,
writexl, purrr, mboxr, vroom, rmarkdown, utils, tidyr

Wrapper for the ggplot2 package that creates a variety of common
charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce
typing.
dplyr, forcats, ggplot2, magrittr, rlang
knitr, lubridate, methods, rmarkdown, ROCR, testthat, tibble,
tidyr, covr

Wrapper for the 'ggplot2' package that creates a variety of common
charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce
typing.
covr, knitr, lubridate, methods, psych, rmarkdown, ROCR,
stats, testthat, tibble, tidyr, tsibbledata

covr, DT, knitr, lubridate, methods, miniUI, psych,
rmarkdown, ROCR, shiny, stats, testthat, tibble, tidyr,
tsibbledata

dplyr, forcats, ggplot2, lubridate, rlang, tsibble
covr, DT, knitr, methods, miniUI, psych, rmarkdown, ROCR,
shiny, stats, testthat, tibble, tidyr, tsibbledata

covr, DT, e1071, knitr, methods, miniUI, rmarkdown, ROCR,
shiny, stats, testthat, tibble, tidyr, tsibbledata

dplyr, forcats, ggplot2, lubridate, rlang
covr, DT, e1071, knitr, methods, miniUI, rmarkdown, ROCR,
shiny, stats, testthat, tibble, tidyr, tsibble, tsibbledata

Easy Use of R via Shiny App for Basic Analyses of Experimental
Data
Runs a Shiny App in the local machine for basic
statistical and graphical analyses. The point-and-click interface
of Shiny App enables obtaining the same analysis outputs (e.g., plots and
tables) more quickly, as compared with typing the required code in R,
especially for users without much experience or expertise with coding.
Examples of possible analyses include tabulating descriptive
statistics for a variable, creating histograms by experimental groups,
and creating a scatter plot and calculating the correlation between
two variables.
data.table, DT, ggplot2, ggridges, moments, shiny,
shinydashboard, stats, weights