very small division tweaks
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@ -8,6 +8,7 @@
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- [x] Give examples of new functions
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- [x] Give examples of new functions
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- [x] Reference commit with cdf functions, even though deleted
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- [x] Reference commit with cdf functions, even though deleted
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- [ ] Post on suckless subreddit
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- [ ] Post on suckless subreddit
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- [ ] Look into <https://lite.duckduckgo.com/html/> instead?
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- [ ] Drive in a few more real-life applications
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- [ ] Drive in a few more real-life applications
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- [ ] US election modelling?
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- [ ] US election modelling?
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- [ ] Look into using size_t instead of int for sample numbers
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- [ ] Look into using size_t instead of int for sample numbers
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@ -50,7 +50,7 @@ double sample_unit_normal(uint64_t* seed)
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// // See: <https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform>
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// // See: <https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform>
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double u1 = sample_unit_uniform(seed);
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double u1 = sample_unit_uniform(seed);
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double u2 = sample_unit_uniform(seed);
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double u2 = sample_unit_uniform(seed);
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double z = sqrt(-2.0 * log(u1)) * sin(2 * PI * u2);
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double z = sqrt(-2.0 * log(u1)) * sin(2.0 * PI * u2);
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return z;
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return z;
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}
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}
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@ -90,7 +90,7 @@ double sample_normal_from_90_ci(double low, double high, uint64_t* seed)
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// 5. If we want a 90% confidence interval from high to low,
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// 5. If we want a 90% confidence interval from high to low,
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// we can set mean = (high + low)/2; the midpoint, and L = high-low,
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// we can set mean = (high + low)/2; the midpoint, and L = high-low,
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// Normal([high + low]/2, [high - low]/(2 * 1.6448536269514722))
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// Normal([high + low]/2, [high - low]/(2 * 1.6448536269514722))
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double mean = (high + low) / 2.0;
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double mean = (high + low) * 0.5;
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double std = (high - low) / (2.0 * NORMAL90CONFIDENCE);
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double std = (high - low) / (2.0 * NORMAL90CONFIDENCE);
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return sample_normal(mean, std, seed);
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return sample_normal(mean, std, seed);
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}
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}
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