Suggests: httptest (>= 3.0.0), knitr, magrittr, rmarkdown, spelling

Description: Create regular pivot tables with just a few lines of R.
More complex pivot tables can also be created, e.g. pivot tables
with irregular layouts, multiple calculations and/or derived
calculations based on multiple data frames.
Suggests: lubridate (>= 1.5.0), listviewer (>= 1.4.0), digest (>=
0.6.9), shiny, knitr, rmarkdown, testthat

Suggests: lubridate (>= 1.5.0), listviewer (>= 1.4.0), shiny, knitr,

jsonlite (>= 1.1), htmltools(>= 0.3.5), htmlwidgets (>= 0.8)
Suggests: ggplot2 (>= 2.2.0), lubridate (>= 1.5.0), listviewer (>=
1.4.0), shiny, knitr, rmarkdown, testthat

calculations based on multiple data frames.  Pivot tables are
constructed using R only and can be written to a range of
output formats (plain text, 'HTML', 'Latex' and 'Excel'),

Suggests: ggplot2 (>= 2.2.0), jsonlite (>= 1.1), lubridate (>= 1.5.0),
listviewer (>= 1.4.0), openxlsx (>= 4.0.17), basictabler (>=
0.2.0), shiny, knitr, rmarkdown, testthat

1.0.2), shiny, knitr, rmarkdown, testthat

Title: Access 'Piwik Pro' Website Statistics
Description: Run Queries against the API of 'Piwik Pro' <https://developers.piwik.pro/en/latest/custom_reports/http_api/http_api.html>. The result is a tibble.
Imports: urltools, httr, rjson, tibble, purrr, lubridate, magrittr,
dplyr, rlang, stringr, readr, digest, fs

Imports: httr, rjson, tibble, purrr, lubridate, magrittr, dplyr, rlang,

stringr, readr (>= 2.1.0), digest, fs, tidyr, glue

Description: Data about Disney Pixar films provided by Wikipedia. This
package contains data about the films, the people involved, and their
Author: Eric Leung [aut, cre] (<https://orcid.org/0000-0002-8724-1872>)

Suggests: testthat, spelling, knitr, rmarkdown, dplyr, tidyr, forcats,

Suggests: dplyr, forcats, ggbeeswarm, ggplot2, ggrepel, irr, knitr,
markdown, rmarkdown, spelling, testthat (>= 3.0.0), tidyr

Title: Classifies Image Pixels by Colour
Authors@R: c(person("Carlos", "Real", email = "carlos.real@usc.es",  role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5433-6728")),
person("Quentin", "Read", role = "rev"))
Description: Contains functions to classify the pixels of an image file by its colour. It implements a simple form of the techniques known as Support Vector Machine adapted to this particular problem.
Imports: graphics, grDevices, jpeg, tiff,
Author: Carlos Real [aut, cre] (<https://orcid.org/0000-0002-5433-6728>),