<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>csmatyi.r-universe.dev</title><link>https://csmatyi.r-universe.dev</link><description>Recent package updates in csmatyi</description><generator>R-universe</generator><image><url>https://github.com/csmatyi.png</url><title>R packages by csmatyi</title><link>https://csmatyi.r-universe.dev</link></image><lastBuildDate>Fri, 24 Mar 2023 15:30:02 GMT</lastBuildDate><item><title>[csmatyi] matrixcut 0.0.1</title><author>csmatyi@protonmail.com (Matthew Cserhati)</author><description>The user must supply a matrix filled with similarity
values. The software will search for significant differences
between similarity values at different hierarchical levels. The
algorithm will return a Loess-smoothed plot of the similarity
values along with the inflection point, if there are any. There
is the option to search for an inflection point within a
specified range. The package also has a function that will
return the matrix components at a specified cutoff. References:
Mullner. &lt;ArXiv:1109.2378&gt;; Cserhati, Carter. (2020, Journal of
Creation 34(3):41-50),
&lt;https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf&gt;.</description><link>https://github.com/r-universe/csmatyi/actions/runs/28575425230</link><pubDate>Fri, 24 Mar 2023 15:30:02 GMT</pubDate><r:package>matrixcut</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://csmatyi.r-universe.dev</r:repository><r:upstream>https://github.com/cran/matrixcut</r:upstream></item><item><title>[csmatyi] binomialtrend 0.0.0.3</title><author>csmatyi@protonmail.com (Matthew Cserhati)</author><description>Detection of a statistically significant trend in the data
provided by the user. This is based on the a signed test based
on the binomial distribution. The package returns a trend test
value, T, and also a p-value. A T value close to 1 indicates a
rising trend, whereas a T value close to -1 indicates a
decreasing trend. A T value close to 0 indicates no trend.
There is also a command to visualize the trend. A test data set
called gtsa_data is also available, which has global mean
temperatures for January, April, July, and October for the
years 1851 to 2022. Reference: Walpole, Myers, Myers, Ye.
(2007, ISBN: 0-13-187711-9).</description><link>https://github.com/r-universe/csmatyi/actions/runs/27810244244</link><pubDate>Mon, 19 Dec 2022 08:30:06 GMT</pubDate><r:package>binomialtrend</r:package><r:version>0.0.0.3</r:version><r:status>success</r:status><r:repository>https://csmatyi.r-universe.dev</r:repository><r:upstream>https://github.com/cran/binomialtrend</r:upstream></item><item><title>[csmatyi] hybridogram 0.3.2</title><author>csmatyi@protonmail.com (Matthew Cserhati)</author><description>Using hybrid data, this package created a vividly colored
hybrid heat map. The input is two files which are
auto-selected. The first file has three columns, the first two
for pairs of species, with the third column for the hybrid
experiment code (an integer). The second file is a list of code
and their descriptions in two columns. The output is a figure
showing the hybrid heat map with a color legend.</description><link>https://github.com/r-universe/csmatyi/actions/runs/28572024337</link><pubDate>Sun, 23 May 2021 22:50:06 GMT</pubDate><r:package>hybridogram</r:package><r:version>0.3.2</r:version><r:status>success</r:status><r:repository>https://csmatyi.r-universe.dev</r:repository><r:upstream>https://github.com/cran/hybridogram</r:upstream><r:article><r:source>hybridogram.Rmd</r:source><r:filename>hybridogram.html</r:filename><r:title>hybridogram</r:title><r:created>2021-05-18 06:00:02</r:created><r:modified>2021-05-18 06:00:02</r:modified></r:article></item></channel></rss>