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more guide plots
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@@ -435,19 +435,48 @@ samples in [-1,1]: it should be normal-ish. And let's draw the expected perfect
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PDF on top (as an equation, evaluated by =gnuplot=).
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#+BEGIN_SRC sh :results file link :exports both
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N=1000;
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Nsum=200;
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var=$((Nsum/3));
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binwidth=2;
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N=20000;
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Nsum=10;
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binwidth=.1;
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seq $N | \
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perl -nE '$Nsum = '$Nsum';
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$var = '$Nsum' / 3.;
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$s = 0; for $i (1..$Nsum) { $s += rand()*2-1; }
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say $s;' | \
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say $s/sqrt($var);' | \
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feedgnuplot --histo 0 --binwidth $binwidth \
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--equation-above "($N * sqrt(2.*pi*$var) * erf($binwidth/(2.*sqrt(2.*$var)))) * \
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exp(-(x*x)/(2.*$var)) / \
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sqrt(2.*pi*$var) title \"Limit gaussian\" with lines lw 2"
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--equation-above "($N * sqrt(2.*pi) * erf($binwidth/(2.*sqrt(2.)))) * \
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exp(-(x*x)/(2.)) / \
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sqrt(2.*pi) title \"Limit gaussian\" with lines lw 2"
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#+END_SRC
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#+RESULTS:
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[[file:guide-16.svg]]
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If we want multiple histograms drawn on top of one another, the styling should
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be adjusted so that they both remain visible. Let's vary the size of the sum,
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and look at the effects: bigger sums should be more gaussian-like:
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#+BEGIN_SRC sh :results file link :exports both
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N=20000;
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binwidth=.1;
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for Nsum in 1 2 3; do
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seq $N | \
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perl -nE '$, = " ";
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$Nsum = '$Nsum';
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$var = '$Nsum' / 3.;
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$s = 0; for $i (1..$Nsum) { $s += rand()*2-1; }
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say $Nsum,$s/sqrt($var);';
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done | \
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feedgnuplot --dataid --histo 1,2,3 --binwidth $binwidth \
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--autolegend \
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--style 1 'with boxes fill transparent solid 0.3 border lt -1' \
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--style 2 'with boxes fill transparent pattern 4 border lt -1' \
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--style 3 'with boxes fill transparent pattern 5 border lt -1' \
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--equation-above "($N * sqrt(2.*pi) * erf($binwidth/(2.*sqrt(2.)))) * \
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exp(-(x*x)/(2.)) / \
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sqrt(2.*pi) title \"Limit gaussian\" with lines lw 2"
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#+END_SRC
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#+RESULTS:
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[[file:guide-17.svg]]
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