What is new in the intrval R package?

January 26, 2017
By

(This article was first published on Peter Solymos - R related posts, and kindly contributed to R-bloggers)

An update (v 0.1-1) of the intrval package was recently published on CRAN. The package simplifies interval related logical operations (read more about the motivation in this post).
So what is new in this version? Some of the inconsistencies in the 1st CRAN release have been cleaned up, and I have been pushed hard (see GitHub issue to implement all the 16
interval-to-interval operators.
These operators define the open/closed nature of the lower/upper
limits of the intervals on the left and right hand side of the o
in the middle as in c(a1, b1) %[]o[]% c(a2, b2).

Interval 1: Interval 2: [] [) (] ()
[] %[]o[]% %[]o[)% %[]o(]% %[]o()%
[) %[)o[]% %[)o[)% %[)o(]% %[)o()%
(] %(]o[]% %(]o[)% %(]o(]% %(]o()%
() %()o[]% %()o[)% %()o(]% %()o()%

The overlap of two closed intervals, [a1, b1] and [a2, b2],
is evaluated by the %[]o[]% (%[o]% is an alias)
operator (a1 <= b1, a2 <= b2).
Endpoints can be defined as a vector with two values
(c(a1, b1)) or can be stored in matrix-like objects or a lists
in which case comparisons are made element-wise.

If lengths do not match, shorter objects are recycled.
These value-to-interval operators work for numeric (integer, real)
and ordered vectors, and object types which are measured at
least on ordinal scale (e.g. dates).
Note that interval endpoints
are sorted internally thus ensuring the conditions
a1 <= b1 and a2 <= b2 is not necessary.

c(2, 3) %[]o[]% c(0, 1)
list(0:4, 1:5) %[]o[]% c(2, 3)
cbind(0:4, 1:5) %[]o[]% c(2, 3)
data.frame(a=0:4, b=1:5) %[]o[]% c(2, 3)

If lengths do not match, shorter objects are recycled.
These value-to-interval operators work for numeric (integer, real)
and ordered vectors, and object types which are measured at
least on ordinal scale (e.g. dates).

%)o(% is used for the negation of two closed interval overlap (%[o]%),
directional evaluation is done via the operators
%[ and %[o>]%.
The overlap of two open intervals
is evaluated by the %(o)% (alias for %()o()%).
%]o[% is used for the negation of two open interval overlap,
directional evaluation is done via the operators
%( and %(o>)%.
Overlap operators with mixed endpoint do not have
negation and directional counterparts.

Equal Not equal Less than Greater than
%[o]% %)o(% %[ %[o>]%
%(o)% %]o[% %( %(o>)%

Thanks for all the feedback so far and please keep’em coming:
leave a comment below or use the issue tracker
to provide feedback or report a problem.

To leave a comment for the author, please follow the link and comment on their blog: Peter Solymos - R related posts.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)