final version

Author: danton267

evalMD.m

@@ -8,7 +8,7 @@
 fileList = dir('matlab/*.md');
 
 % Loop over all files
-for i = 1 :length(fileList)
+for i = 44%1 :length(fileList)
     fileName = fullfile(fileList(i).folder,fileList(i).name);
     fprintf('Evaluating (%03d): %s\n',i,['matlab/',fileList(i).name]);
     mdContents = readlines(fileName,'Encoding','UTF-8');

matlab/2021-08-04-3D-histogram.md

@@ -14,15 +14,6 @@ page_type: u-guide
 
 Generate 10,000 pairs of random numbers and create a bivariate histogram. The `histogram2` function automatically chooses an appropriate number of bins to cover the range of values in `x` and `y` and show the shape of the underlying distribution.
 
-```{matlab}
-x = randn(10000,1);
-y = randn(10000,1);
-h = histogram2(x,y);
-
-fig2plotly(gcf);
-```
-
-
 
 ```{matlab}
 x = randn(10000,1);
@@ -32,22 +23,21 @@ h = histogram2(x,y);
 xlabel('x');
 ylabel('y');
 
+nXnY = h.NumBins
+
 fig2plotly(gcf);
 ```
 
-
 When you specify an output argument to the `histogram2` function, it returns a histogram2 object. You can use this object to inspect the properties of the histogram, such as the number of bins or the width of the bins.
 
-Find the number of histogram bins in each dimension.
+Find the number of histogram bins in each dimension using `h.NumBins`.
+
 
 ```{matlab}
 x = randn(10000,1);
 y = randn(10000,1);
 h = histogram2(x,y);
 
-xlabel('x');
-ylabel('y');
-
 nXnY = h.NumBins
 ```
 
@@ -77,9 +67,7 @@ y = randn(1000,1);
 nbins = 5;
 h = histogram2(x,y,nbins);
 
-counts = h.Values;
-
-fig2plotly(gcf);
+counts = h.Values
 ```
 
 
@@ -92,9 +80,6 @@ Generate 1,000 pairs of random numbers and create a bivariate histogram.
 ```{matlab}
 x = randn(1000,1);
 y = randn(1000,1);
-h = histogram2(x,y);
-
-fig2plotly(gcf);
 ```
 
 Use the `morebins` function to coarsely adjust the number of bins in the x dimension.
@@ -104,7 +89,6 @@ x = randn(1000,1);
 y = randn(1000,1);
 h = histogram2(x,y);
 
-nbins = morebins(h,'x');
 nbins = morebins(h,'x');
 
 fig2plotly(gcf);
@@ -118,10 +102,6 @@ x = randn(1000,1);
 y = randn(1000,1);
 h = histogram2(x,y);
 
-nbins = morebins(h,'x');
-nbins = morebins(h,'x');
-
-nbins = fewerbins(h,'y');
 nbins = fewerbins(h,'y');
 
 fig2plotly(gcf);
@@ -224,8 +204,6 @@ y = randn(1000,1);
 h = histogram2(x,y,'Normalization','probability');
 
 S = sum(h.Values(:))
-
-fig2plotly(gcf);
 ```
 
 

matlab/2021-08-04-3d-bubble-charts.md

@@ -8,6 +8,7 @@ thumnail_github: 3d-bubble-charts.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Plot Random Bubbles

matlab/2021-08-04-3d-horizontal-bar-plots.md

@@ -14,11 +14,6 @@ page_type: u-guide
 
 Load the data set `count.dat`, which returns a three-column matrix, `count`. Store `Y` as the first ten rows of `count`.
 
-```{matlab}
-load count.dat
-Y = count(1:10,:);
-```
-
 Create a 3-D horizontal bar graph of `Y`. By default, the style is `detached`.
 
 ```{matlab}
@@ -38,11 +33,6 @@ fig2plotly(gcf, 'TreatAs', 'bar3h');
 
 Load the data set `count.dat`, which returns a three-column matrix, `count`. Store `Y` as the first ten rows of `count`.
 
-```{matlab}
-load count.dat;
-Y = count(1:10,:);
-```
-
 Create a 3-D horizontal bar graph of `Y` and set the bar width to 0.5.
 
 ```{matlab}
@@ -64,11 +54,6 @@ fig2plotly(gcf, 'TreatAs', 'bar3h');
 
 Load the data set `count.dat`, which returns a three-column matrix, `count`. Store `Y` as the first ten rows of `count`.
 
-```{matlab}
-load count.dat
-Y = count(1:10,:);
-```
-
 Create a 3-D horizontal bar graph of Y and specify the style option as `grouped`.
 
 ```{matlab}
@@ -89,11 +74,6 @@ fig2plotly(gcf, 'TreatAs', 'bar3h');
 
 Load the data set `count.dat`, which returns a three-column matrix, `count`. Store `Y` as the first ten rows of `count`.
 
-```{matlab}
-load count.dat
-Y = count(1:10,:);
-```
-
 Create a 3-D horizontal bar graph of Y and specify the style option as `stacked`.
 
 ```{matlab}

matlab/2021-08-04-3d-mesh.md

@@ -82,7 +82,7 @@ s = mesh(X,Y,Z,'FaceAlpha','0.5')
 
 s.FaceColor = 'flat';
 
-fig2plotly(gcf, 'TreatAs', 'mesh')
+fig2plotly(gcf, 'TreatAs', 'mesh');
 ```
 
 

matlab/2021-08-04-3d-stem-plots.md

@@ -138,10 +138,6 @@ To specify only two of the three `LineSpec` options, omit the third option from
 
 
 
-<!--------------------- EXAMPLE BREAK ------------------------->
-
-## Line Style, Marker Symbol, and Color Options
-
 Create a 3-D stem plot and specify the stem locations along a circle. Set the stem to a dotted line style, the marker symbols to stars, and the color to magenta. 
 
 ```{matlab}

matlab/2021-08-04-3d-streamline-plots.md

@@ -8,6 +8,7 @@ thumnail_github: 3d-streamline-plots.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create 3-D Quiver Plot
@@ -224,26 +225,14 @@ fig2plotly(gcf);
 ```
 
 
-<!--------------------- EXAMPLE BREAK ------------------------->
-
-## Indicate Flow Using Precalculated Data
-
-Use precalculated vertex data, curl average velocity, and speed to indicate flow. 
+You can also use precalculated vertex data, curl average velocity, and speed to indicate flow. 
 
 ```{matlab}
 load wind
 [sx,sy,sz] = meshgrid(80,20:10:50,0:5:15);
 verts = stream3(x,y,z,u,v,w,sx,sy,sz);
 cav = curl(x,y,z,u,v,w);
 spd = sqrt(u.^2 + v.^2 + w.^2).*.1;
-streamribbon(verts,x,y,z,cav,spd);
-axis tight
-shading interp
-view(3);
-camlight; 
-lighting gouraud
-
-fig2plotly(gcf);
 ```
 
 Using precalculated data enables you to use values other than those calculated from the single data source. In this case, the speed is reduced by a factor of 10 compared to the previous example.

matlab/2021-08-04-3d-subplots.md

@@ -1,8 +1,8 @@
 ---
 description: How to make 3D Subplots in MATLAB<sup>&reg;</sup> with Plotly.
 name: 3D Subplots
-display_as: 3d_charts
-order: 4
+display_as: multiple_axes
+order: 3
 permalink: matlab/3d-subplots/
 thumnail_github: 3d-subplots.png
 layout: base

matlab/2021-08-04-bubble-charts.md

@@ -8,6 +8,7 @@ thumnail_github: bubble-charts.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Plot Random Bubbles

matlab/2021-08-04-bubblecloud.md

@@ -8,6 +8,7 @@ thumnail_github: bubblecloud.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create Bubble Cloud with Table Data

matlab/2021-08-04-candlestick-charts.md

@@ -8,6 +8,7 @@ thumnail_github: candlestick-charts.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Generate a Candlestick Chart for a Data Series for a Stock

matlab/2021-08-04-cone-plot.md

@@ -172,7 +172,7 @@ lighting gouraud;
 set(hsurfaces,'AmbientStrength',0.6);
 hcone.DiffuseStrength = 0.8;
 
-fig2plotly(gcf, 'TreatAs', 'coneplot')
+fig2plotly(gcf, 'TreatAs', 'coneplot');
 ```
 
 
@@ -220,7 +220,7 @@ hcone.DiffuseStrength = 0.8;
 view(30,40)
 daspect([2,2,1])
 
-fig2plotly(gcf, 'TreatAs', 'coneplot')
+fig2plotly(gcf, 'TreatAs', 'coneplot');
 ```
 
 

matlab/2021-08-04-continuous-error-bars.md

@@ -10,8 +10,7 @@ language: matlab
 page_type: u-guide
 ---
 
-To make this plot, you'll need the the boundedline package<br>
-from the MATLAB<sup>&reg;</sup> <a href="https://uk.mathworks.com/matlabcentral/fileexchange/27485-boundedline-m">File exchange</a>
+To make this plot, you'll need the the boundedline package from the MATLAB<sup>&reg;</sup> <a href="https://uk.mathworks.com/matlabcentral/fileexchange/27485-boundedline-m">File exchange</a>
 
 ## Plotting lines using various syntax options
 

matlab/2021-08-04-feather-plot.md

@@ -8,6 +8,7 @@ thumnail_github: feather-plot.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create Compass Plot Using Cartesian Coordinates

matlab/2021-08-04-gauge-charts.md

@@ -8,6 +8,7 @@ thumnail_github: gauge-charts.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create Circular Gauge

matlab/2021-08-04-group-by.md

@@ -243,7 +243,7 @@ Plot mean acceleration, grouped by `Cylinders`, with 95% confidence intervals.
 ```{matlab}
 load('carsmall')
 
-grpstats(Acceleration,Cylinders,0.05)
+grpstats(Acceleration,Cylinders,0.05);
 
 fig2plotly(gcf);
 ```
@@ -256,7 +256,7 @@ Plot mean acceleration and weight, grouped by `Cylinders`, and 95% confidence in
 ```{matlab}
 load('carsmall')
 
-grpstats([Acceleration,Weight/1000],Cylinders,0.05)
+grpstats([Acceleration,Weight/1000],Cylinders,0.05);
 
 fig2plotly(gcf);
 ```
@@ -268,7 +268,7 @@ Plot mean acceleration, grouped by both `Cylinders` and `Model_Year`. Specify 95
 ```{matlab}
 load('carsmall')
 
-grpstats(Acceleration,{Cylinders,Model_Year},0.05)
+grpstats(Acceleration,{Cylinders,Model_Year},0.05);
 
 fig2plotly(gcf);
 ```

matlab/2021-08-04-lines-on-maps.md

@@ -232,6 +232,8 @@ geoplot([latSeattle latAnchorage],[lonSeattle lonAnchorage])
 geolimits([45 62],[-149 -123])
 
 geobasemap colorterrain
+
+fig2plotly(gcf);
 ```
 
 

matlab/2021-08-04-marginal-plots.md

@@ -8,6 +8,7 @@ thumnail_github: marginal-plots.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create a scatterhist Plot

matlab/2021-08-04-mixed-subplots.md

@@ -2,7 +2,7 @@
 description: How to make Mixed Subplots in MATLAB<sup>&reg;</sup> with Plotly.
 name: Mixed Subplots
 display_as: multiple_axes
-order: 1
+order: 2
 permalink: matlab/mixed-subplots/
 thumnail_github: mixed-subplots.png
 layout: base

matlab/2021-08-04-ml-regression.md

@@ -17,7 +17,7 @@ This example shows how to perform simple linear regression using the accidents d
 
 Linear regression models the relation between a dependent, or response, variable y and one or more independent, or predictor, variables x<sub>1</sub>,...,x<sub>n</sub>. Simple linear regression considers only one independent variable using the relation
 
-<code>y=β<sub>0</sub>+β<sub>1</sub>x+ϵ,</code>
+* <code>y=β<sub>0</sub>+β<sub>1</sub>x+ϵ,</code>
 
 where β<sub>0</sub> is the y-intercept, β<sub>1</sub> is the slope (or regression coefficient), and ϵ is the error term. This can be simplified to `Y=XB`
 
@@ -28,7 +28,7 @@ load accidents
 x = hwydata(:,14); %Population of states
 y = hwydata(:,4); %Accidents per state
 format long
-b1 = x\y;
+b1 = x\y
 ```
 
 

matlab/2021-08-04-parallel-coordinates-plot.md

@@ -8,6 +8,7 @@ thumnail_github: parallel-coordinates-plot.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Parallel Coordinates Plot with Tabular Data
@@ -98,7 +99,7 @@ Create a new categorical variable that groups each patient into one of three cat
 ```{matlab}
 load patients
 X = [Age Height Weight];
-p = parallelplot(X)
+p = parallelplot(X);
 
 p.CoordinateTickLabels = {'Age (years)','Height (inches)','Weight (pounds)'};
 

matlab/2021-08-04-polar-chart.md

@@ -8,6 +8,7 @@ thumnail_github: polar-chart.png
 layout: base
 language: matlab
 page_type: u-guide
+published: false
 ---
 
 ## Create Polar Plot