Implemented LinregMovingMeanVisitor visitor

Author: hosseinmoein

README.md

@@ -41,9 +41,9 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 <img src="docs/LionLookingUp.jpg" alt="DataFrame Lion" width="400" longdesc="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/DataFrame.html"/>
 
 ## [*DataFrame Documentation / Code Samples*](https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/DataFrame.html)
-This is a C++ analytical library designed for data analysis similar to libraries in Python and R. For example, you could compare this to Pandas or R data.frame.<BR>
-You could slice the data in many different ways. You could join, merge, group-by the data. You could run various statistical, summarization, financial, and ML algorithms on the data. You could add your custom algorithms easily. You could multi-column sort, custom pick and delete the data. And more …<BR>
-DataFrame also includes a large collection of analytical algorithms in form of visitors. These are from basic stats such as <I>Mean</I>, <I>Std Deviation</I>, <I>Return</I>, … to more involved analysis such as <I>Affinity Propagation</I>, <I>Polynomial Fit</I>, <I>Fast Fourier transform of arbitrary length</I> … including a good collection of trading indicators. You could also easily add your own algorithms.<BR>
+This is a C++ analytical library designed for data analysis similar to libraries in Python and R. For example, you would compare this to Pandas or R data.frame.<BR>
+You can slice the data in many different ways. You can join, merge, group-by the data. You can run various statistical, summarization, financial, and ML algorithms on the data. You can add your custom algorithms easily. You can multi-column sort, custom pick and delete the data. And more …<BR>
+DataFrame also includes a large collection of analytical algorithms in form of visitors. These are from basic stats such as <I>Mean</I>, <I>Std Deviation</I>, <I>Return</I>, … to more involved analysis such as <I>Affinity Propagation</I>, <I>Polynomial Fit</I>, <I>Fast Fourier transform of arbitrary length</I> … including a good collection of trading indicators. You can also easily add your own algorithms.<BR>
 For basic operations to start you off, see [Hello World](examples/hello_world.cc). For a complete list of features with code samples, see [documentation](https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/DataFrame.html).
 
 I have followed a few <B>principles in this library</B>:<BR>

docs/HTML/DataFrame.html

@@ -690,6 +690,10 @@ <H2><font color="blue">Table of Functionalities &#8212; with Code Samples</font>
       <td title="Fits linear function through x-y coordinates">struct <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/PolyFitVisitor.html">LinearFitVisitor</a>{  }</td>
     </tr>
 
+    <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
+      <td title="Calculates rolling mean using linear regression">struct <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/LinregMovingMeanVisitor.html">LinregMovingMeanVisitor</a>{  }</td>
+    </tr>
+
     <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
       <td title="Fits y = b0 + b1 * log(x) through x-y coordinates">struct <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/PolyFitVisitor.html">LogFitVisitor</a>{  }</td>
     </tr>
@@ -1123,6 +1127,10 @@ <H2><font color="blue">Table of Functionalities &#8212; with Code Samples</font>
       <td title="Join policies">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/join_by_column.html">join_policy</a>{  }</td>
     </tr>
 
+    <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
+      <td title="Specifies what values to return when calculating Linear Regression moving average">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/LinregMovingMeanVisitor.html">linreg_moving_mean_type</a>{  }</td>
+    </tr>
+
     <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
       <td title="Average around average types">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/MADVisitor.html">mad_type</a>{  }</td>
     </tr>