This class computes statistics (minimum value, maximum value, mean, variance and standard deviation) of a population of floating-point values.
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| Stats () |
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void | add (double val) |
| Add a single sample. More...
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void | add (double val, uint64_t n) |
| Add n samples with constant value val. More...
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void | add (const Stats &other) |
| Add the samples from the other Stats instance. More...
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void | print (const std::string &name="", std::ostream &strm=std::cout, int precision=3) const |
| Print statistics to the specified output stream. More...
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double | avg () const |
| Return the arithmetic mean, i.e. average, value. More...
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double | mean () const |
| Return the arithmetic mean, i.e. average, value. More...
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double | var () const |
| Return the population variance. More...
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double | variance () const |
| Return the population variance. More...
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double | std () const |
| Return the standard deviation (=Sqrt(variance)) as defined from the (biased) population variance. More...
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double | stdDev () const |
| Return the standard deviation (=Sqrt(variance)) as defined from the (biased) population variance. More...
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| Extrema () |
| Constructor. More...
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void | add (double val) |
| Add a single sample. More...
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void | add (double val, uint64_t n) |
| Add n samples with constant value val. More...
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uint64_t | size () const |
| Return the size of the population, i.e., the total number of samples. More...
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double | min () const |
| Return the minimum value. More...
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double | max () const |
| Return the maximum value. More...
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double | range () const |
| Return the range defined as the maximum value minus the minimum value. More...
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void | add (const Extrema &other) |
| Add the samples from the other Stats instance. More...
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void | print (const std::string &name="", std::ostream &strm=std::cout, int precision=3) const |
| Print extrema to the specified output stream. More...
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This class computes statistics (minimum value, maximum value, mean, variance and standard deviation) of a population of floating-point values.
variance = Mean[ (X-Mean[X])^2 ] = Mean[X^2] - Mean[X]^2, standard deviation = sqrt(variance)
- Note
- This class employs incremental computation and double precision.
Definition at line 182 of file Stats.h.