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recurrence model: testing large, incomplete data bases
This is a small, simple tutorial for testing the implementation of large, incomplete data bases. In this tutorial case, rStatAnalysis is used as post-processor and it uses a data base in memory, which is smaller than the number of snapshots on disk.
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reset
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clear
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set terminal cairolatex pdf dash dl 1
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set pm3d map
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set contour surface
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set cntrparam levels discr 10
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set samples 50
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set isosamples 50
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set palette maxcolors 8
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set palette defined(\
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0 0.2314 0.2980 0.7529,\
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0.125000 0.384300 0.509800 0.917600,\
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0.250000 0.552900 0.690200 0.996100,\
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0.375000 0.721600 0.815700 0.976500,\
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0.500000 0.866700 0.866700 0.866700,\
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0.625000 0.960800 0.768600 0.678400,\
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0.750000 0.956900 0.603900 0.482400,\
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0.875000 0.870600 0.376500 0.302000,\
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1 0.7059 0.0157 0.1490\
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)
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set cbtics 0.6
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set mcbtics 8
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#set cblabel 'distance'
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#unset cbtics
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set cbrange [0:0.6]
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set format cb "%.1f"
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#set xrange[0:3]
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#set yrange[0:3]
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set xlabel 't [s]'
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set ylabel 't [s]'
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# evil manual meddling with axes tics
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set xtics ("0" 0, "500" 50, "1000" 100, "1500" 150, "2000" 199)
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set ytics ("0" 0, "500" 50, "1000" 100, "1500" 150, "2000" 199)
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#set mxtics 2
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#set mytics 2
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set size square
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set out 'myDistMatrix.tex'
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splot 'myMatrix.txt' matrix using ($1):($2):(1-$3) with image notitle
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