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<div class="moz-cite-prefix">Le 02/03/2018 à 16:40, fujimoto2005 a
écrit :<br>
</div>
<blockquote cite="mid:1520005241921-0.post@n3.nabble.com"
type="cite">
<pre wrap="">In the attached code,"boolean_M" is a random Boolean matrix.
I want to get the average of each column of A whose corresponding element of
boolean_M has "true" as row vector x_V, but it does not work.
Where am I wrong?</pre>
</blockquote>
<blockquote type="cite">
<pre>n=10;
boolean_M=rand(n,n)>0.5;
disp(boolean_M)
A=rand(n,n);
disp(A);
x_V=mean(A(boolean_M),'r');
</pre>
</blockquote>
<br>
Instead, you may use<br>
<pre style="font-family:Monospaced;font-style:normal;font-size:12.0;"><span style="color:rgb(0,0,0);">n</span> <span style="color:rgb(92,92,92);">=</span> <span style="color:rgb(188,143,143);">5</span><span style="color:rgb(0,0,0);">;</span>
<span style="color:rgb(0,0,0);">boolean_M</span> <span style="color:rgb(92,92,92);">=</span> <span style="color:rgb(50,185,185);">rand</span><span style="color:rgb(74,85,219);">(</span><span style="color:rgb(0,0,0);">n</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(0,0,0);">n</span><span style="color:rgb(74,85,219);">)</span><span style="color:rgb(92,92,92);">></span><span style="color:rgb(188,143,143);">0.5</span>
<span style="color:rgb(0,0,0);">A</span> <span style="color:rgb(92,92,92);">=</span> <span style="color:rgb(50,185,185);">grand</span><span style="color:rgb(74,85,219);">(</span><span style="color:rgb(0,0,0);">n</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(0,0,0);">n</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(188,143,143);">"</span><span style="color:rgb(188,143,143);">uin</span><span style="color:rgb(188,143,143);">"</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(188,143,143);">0</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(188,143,143);">9</span><span style="color:rgb(74,85,219);">)</span>
<span style="color:rgb(0,0,0);">A</span><span style="color:rgb(74,85,219);">(</span><span style="color:rgb(0,0,0);">boolean_M</span><span style="color:rgb(74,85,219);">)</span> <span style="color:rgb(92,92,92);">=</span> <span style="color:rgb(218,112,214);">%nan</span>
<span style="color:rgb(255,102,0);">nanmean</span><span style="color:rgb(74,85,219);">(</span><span style="color:rgb(0,0,0);">A</span><span style="color:rgb(0,0,0);">,</span><span style="color:rgb(188,143,143);">"</span><span style="color:rgb(188,143,143);">r</span><span style="color:rgb(188,143,143);">"</span><span style="color:rgb(74,85,219);">)</span></pre>
<font size="-1"><tt>--> n = 5;</tt><tt><br>
</tt><tt>--> boolean_M = rand(n,n)>0.5</tt><tt><br>
</tt><tt> boolean_M = </tt><tt><br>
</tt><tt> T F F F T</tt><tt><br>
</tt><tt> T T T T T</tt><tt><br>
</tt><tt> T T F T T</tt><tt><br>
</tt><tt> F T F T F</tt><tt><br>
</tt><tt> F F T T F</tt><tt><br>
</tt><tt> </tt><tt><br>
</tt><tt>--> A = grand(n,n,"uin",0,9)</tt><tt><br>
</tt><tt> A = </tt><tt><br>
</tt><tt> 6. 2. 5. 4. 6.</tt><tt><br>
</tt><tt> 6. 9. 3. 6. 5.</tt><tt><br>
</tt><tt> 3. 9. 3. 5. 4.</tt><tt><br>
</tt><tt> 0. 8. 7. 0. 7.</tt><tt><br>
</tt><tt> 1. 6. 8. 7. 2.</tt><tt><br>
</tt><tt></tt><tt><br>
</tt><tt>--> A(boolean_M) = %nan</tt><tt><br>
</tt><tt> A = </tt><tt><br>
</tt><tt> Nan 2. 5. 4. Nan</tt><tt><br>
</tt><tt> Nan Nan Nan Nan Nan</tt><tt><br>
</tt><tt> Nan Nan 3. Nan Nan</tt><tt><br>
</tt><tt> 0. Nan 7. Nan 7. </tt><tt><br>
</tt><tt> 1. 6. Nan Nan 2. </tt><tt><br>
</tt><tt><br>
</tt><tt>--> nanmean(A,"r")</tt><tt><br>
</tt><tt> ans =</tt><tt><br>
</tt><tt> 0.5 4. 5. 4. 4.5</tt><tt><br>
</tt></font><br>
Samuel<br>
<br>
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