Provides convenient methods for accessing the data in 'dist' objects with minimal memory and computational overhead. 'disttools' can be used to extract the distance between any pair or combination of points encoded by a 'dist' object using only the indices of those points. This is an improvement over existing functionality, which requires either coercing a 'dist' object into a matrix or calculating the one dimensional index corresponding to a pair of observations. Coercion to a matrix is undesirable because doing so doubles the amount of memory required for storage. In contrast, there is no inherent downside to the latter solution. However, in part due to several edge cases, correctly and efficiently implementing such a solution can be challenging. 'disttools' abstracts away these challenges and provides a simple interface to access the data in a 'dist' object using the latter approach.

Testing and documenting code that communicates with remote
  databases can be painful. Although the interaction with R is usually relatively 
  simple (e.g. data(frames) passed to and from a database), because they rely on 
  a separate service and the data there, testing them can be difficult to set up,
  unsustainable in a continuous integration environment, or impossible without 
  replicating an entire production cluster. This package addresses that by 
  allowing you to make recordings from your database interactions and then play 
  them back while testing (or in other contexts) all without needing to spin up 
  or have access to the database your code would typically connect to.

A comprehensive visualization toolkit built with coders of all
    skill levels and color-vision impaired audiences in mind. It allows creation
    of finely-tuned, publication-quality figures from single function calls.
    Visualizations include scatter plots, compositional bar plots, violin, box,
    and ridge plots, and more. Customization ranges from size and title
    adjustments to discrete-group circling and labeling, hidden data overlay
    upon cursor hovering via ggplotly() conversion, and many more, all with
    simple, discrete inputs. Color blindness friendliness is powered by legend
    adjustments (enlarged keys), and by allowing the use of shapes or
    letter-overlay in addition to the carefully selected dittoColors().