add converstion between lognormal form and 90% c.i.
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@ -345,9 +345,10 @@ It emits one warning about something I already took care of, so by default I've
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- [x] Add prototypes
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- [x] Add prototypes
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- [x] Use named structs
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- [x] Use named structs
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- [x] Add to header file
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- [x] Add to header file
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- [x] Provide example
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- [x] Provide example algebra
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- [x] Add conversion between 90% ci and parameters.
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- [ ] Use that conversion in conjuction with small algebra.
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- [ ] Test results
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- [ ] Test results
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- [ ] Add conversion between 90% ci and parameters.
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- [x] Move to own file? Or signpost in file? => signposted in file.
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- [x] Move to own file? Or signpost in file? => signposted in file.
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- [ ] Disambiguate sample_laplace--successes vs failures || successes vs total trials as two distinct and differently named functions
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- [ ] Disambiguate sample_laplace--successes vs failures || successes vs total trials as two distinct and differently named functions
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- [ ] Write twitter thread.
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- [ ] Write twitter thread.
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25
squiggle.c
25
squiggle.c
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@ -12,7 +12,8 @@
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#define EXIT_ON_ERROR 0
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#define EXIT_ON_ERROR 0
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#define PROCESS_ERROR(error_msg) process_error(error_msg, EXIT_ON_ERROR, __FILE__, __LINE__)
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#define PROCESS_ERROR(error_msg) process_error(error_msg, EXIT_ON_ERROR, __FILE__, __LINE__)
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const double PI = 3.14159265358979323846; // M_PI in gcc gnu99
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#define PI 3.14159265358979323846 // M_PI in gcc gnu99
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#define NORMAL95CONFIDENCE 1.6448536269514722
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// # Key functionality
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// # Key functionality
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// Define the minimum number of functions needed to do simple estimation
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// Define the minimum number of functions needed to do simple estimation
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@ -97,7 +98,6 @@ inline double sample_normal_from_95_confidence_interval(double low, double high,
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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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const double NORMAL95CONFIDENCE = 1.6448536269514722;
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double mean = (high + low) / 2.0;
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double mean = (high + low) / 2.0;
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double std = (high - low) / (2.0 * NORMAL95CONFIDENCE);
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double std = (high - low) / (2.0 * NORMAL95CONFIDENCE);
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return sample_normal(mean, std, seed);
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return sample_normal(mean, std, seed);
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@ -504,3 +504,24 @@ lognormal_params algebra_product_lognormals(lognormal_params a, lognormal_params
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};
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};
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return result;
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return result;
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}
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}
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lognormal_params convert_ci_to_lognormal_params(struct c_i x)
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{
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double loghigh = logf(x.high);
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double loglow = logf(x.low);
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double logmean = (loghigh + loglow) / 2.0;
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double logstd = (loghigh - loglow) / (2.0 * NORMAL95CONFIDENCE);
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lognormal_params result = { .logmean = logmean, .logstd = logstd};
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return result;
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}
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struct c_i convert_lognormal_params_to_ci(lognormal_params y)
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{
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double h = y.logstd * NORMAL95CONFIDENCE;
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double loghigh = y.logmean + h;
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double loglow = y.logmean - h;
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struct c_i result = { .low=exp(loglow), .high=exp(loghigh)};
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return result;
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}
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@ -72,4 +72,10 @@ typedef struct lognormal_params_t {
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} lognormal_params;
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} lognormal_params;
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lognormal_params algebra_product_lognormals(lognormal_params a, lognormal_params b);
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lognormal_params algebra_product_lognormals(lognormal_params a, lognormal_params b);
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lognormal_params convert_ci_to_lognormal_params(struct c_i x);
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struct c_i convert_lognormal_params_to_ci(lognormal_params y);
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#endif
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#endif
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