Easily run common statistical analyses and build them into a form that can
easily be plotting or made into a table. Many parts of mason use
dplyr::dplyr() functions, which makes the analysis fast and
allows it to be put into a magrittr::magrittr() pipe chain.
The final, scrub()'ed version of the analysis is in a 'tidy' format,
meaning it is already in a form to send to ggplot2 or created
into a table using the pander package or with knitr::kable(). It also allows
further processing with dplyr and tidyr.
One of the main goals of mason is to make it easy to implement other
analyses in a consistent syntax and structure. Like in architecture,
construction, and engineering, data analysis projects follow a similar
workflow, where there is a design phase, a construction phase, and a final
scrubbing/cleaning/polishing phase, with some back and forth as construction
continues. mason tries to emulate this pattern.
For more documentation, see vignette("mason", package = "mason").
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