Description: Contains a set of functions that can be used to apply
formats to data frames or vectors.  The package aims to provide to R
functionality similar to that of SAS® formats. Formats are assigned to
the format attribute on data frame columns.  Then when the fdata()
function is called, a new data frame is created with the column data
formatted as specified.  The package also contains a value() function
to create a user-defined format, similar to a SAS® user-defined format.

formats to data frames or vectors.  The package aims to provide to

Suggests: testthat, knitr, rmarkdown, covr, logr, utils

Description: foba is a package that implements forward, backward, and foba sparse learning algorithms for ridge regression, described in the paper "Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations".
Packaged: Sat Nov  8 10:22:33 2008; hornik

Title: Focused, Interactive Multidimensional Scaling
Authors@R: c(person("Lea", "Urpa", email = "lea.urpa@helsinki.fi", role = "cre"), person("Simon", "Anders", email = "simon.anders@helsinki.fi", role = "aut"))
Description: Takes a distance matrix and plots it as an
interactive graph. Double click on any point to choose a new focus
point, and hover over points to see their ID labels. In this graph,
one point is focused on at the center of the graph. All other
points are plotted around this central point at their exact
distances to the point, as given in the distance matrix. In other
words, the distance between each point and the focus point are the
true distances given in the distance matrix. The non focus points
are plotted with respect to each other as exactly as possible. For

interactive graph. One point is focused at the center of the graph,
around which all other points are plotted in their exact distances as
given in the distance matrix. All other non-focus points are plotted
as best as possible in relation to one another. Double click on any
point to choose a new focus point, and hover over points to see their
ID labels. If color label categories are given, hover over colors in
the legend to highlight only those points and click on colors to
highlight multiple groups. For more information on the rationale
and mathematical background, as well as an interactive introduction,