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    <p>You can use the <code>minx</code>, <code>maxx</code>, <code>miny</code> and <code>maxy</code> arguments of <code>layout.fruchterman.reingold()</code> or <code>layout.kamada.kawai()</code> to fix some vertices completely. These arguments specify vertex-specific lower and/or upper limits for the coordinates. </p> <p>For the vertices you want to fix, set them exactly to the value to fix, and for the other vertices set <code>minx</code> to some small negative values (<code>-Inf</code> might work, too), and set <code>maxx</code> to some large value, (again, maybe <code>Inf</code> works, too).</p> <p>You might need to use the <code>rescale=FALSE</code> argument in <code>plot.igraph()</code> to avoid rescaling the complete layout, for both the first and second graph.</p> <h3>Edit:</h3> <p>From the manual:</p> <blockquote> <p>'<code>minx</code>' If not '<code>NULL</code>', then it must be a numeric vector that gives lower boundaries for the '<code>x</code>' coordinates of the vertices. The length of the vector must match the number of vertices in the graph.</p> <p>'<code>maxx</code>' Similar to '<code>minx</code>', but gives the upper boundaries.</p> </blockquote> <p>For example:</p> <pre><code>g &lt;- graph.star(10, center=1) minx &lt;- rep(-Inf, vcount(g)) maxx &lt;- rep( Inf, vcount(g)) minx[1] &lt;- 0 maxx[1] &lt;- 0 lay &lt;- layout.fruchterman.reingold(g, minx=minx, maxx=maxx, miny=minx, maxy=maxx) plot(g, layout=lay) </code></pre> <p>fixes the first vertex into (0,0) (might be modified by rescaling, to avoid rescaling, use <code>rescale=FALSE</code> in <code>plot()</code> and set the plotting limits).</p> <p><img src="https://i.stack.imgur.com/yW8hN.png" alt="enter image description here"></p>
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    1. CO"You can use the minx, maxx, miny and maxy arguments of layout.fruchterman.reingold() or layout.kamada.kawai() to fix some vertices completely. These arguments specify vertex-specific lower and/or upper limits for the coordinates." How do the arguments work to be vector specific? ie. how to set the max and min xyz values for each vertex? This certainly wouldnt work `layout.fruchterman.reingold(graph,minx=1,maxx=1.1)` could it be `layout.fruchterman.reingold(graph,minx=c(1,2,3),maxx=c(1,1.2.1,3.1))` ?
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    2. COEdited my answer to show how this works.
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    3. COif I were to have switched off rescale, the output will often be very large? will using layout.norm work in this case? if i set the limits to 1,-1,1,-1 ?
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