P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-09 03:22:00 +02:00
Code Releases Activity

(v1.3.0.9039) lifecycle updates, added excess kurtosis

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2020-10-04 21:02:16 +02:00
parent baf510183c
commit c04dc852cf
30 changed files with 120 additions and 87 deletions
Download Patch File Download Diff File Expand all files Collapse all files

15
docs/reference/skewness.html
View File

@ -50,7 +50,7 @@
<meta property="og:title" content="Skewness of the sample — skewness" />
<meta property="og:description" content="Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure." />
When negative ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
@ -83,7 +83,7 @@ When negative: the left tail is longer; the mass of the distribution is concentr
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9039</span>
</span>
</div>
@ -241,7 +241,7 @@ When negative: the left tail is longer; the mass of the distribution is concentr
<div class="ref-description">
<p>Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.</p>
<p>When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure.</p>
<p>When negative ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0.</p>
</div>
<pre class="usage"><span class='fu'>skewness</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
@ -264,16 +264,17 @@ When negative: the left tail is longer; the mass of the distribution is concentr
</tr>
<tr>
<th>na.rm</th>
<td><p>a logical value indicating whether <code>NA</code> values should be stripped before the computation proceeds.</p></td>
<td><p>a logical value indicating whether <code>NA</code> values should be stripped before the computation proceeds</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="questioning-lifecycle"><a class="anchor" href="#questioning-lifecycle"></a>Questioning lifecycle</h2>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable lifecycle</h2>
<p><img src='figures/lifecycle_questioning.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioning</strong>. This function might be no longer be optimal approach, or is it questionable whether this function should be in this <code>AMR</code> package at all.</p>
<p><img src='figures/lifecycle_stable.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, a parameter will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>