Difference between revisions of "Functions for descriptive statistics"
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− | The unit math of the [[RTL]] provides a plethora of routines for descriptive statistics. | + | The unit [[doc:rtl/math/index.html|math]] of the [[RTL]] provides a plethora of routines for descriptive statistics. |
+ | |||
+ | * [[doc:rtl/math/mean.html|mean]]: Returns the mean value of an array. | ||
+ | * [[doc:rtl/math/stddev.html| stddev]]: Returns the standard deviation of an array. | ||
+ | * [[doc:rtl/math/meanandstddev.html| meanandstddev]]: Returns mean and standard deviation of an array. | ||
+ | * [[doc:rtl/math/momentskewkurtosis.html| momentskewkurtosis]]: Returns the first four moments of an array. | ||
+ | * [[doc:rtl/math/variance.html| variance]]: Returns the variance of an array. | ||
+ | * [[doc:rtl/math/totalvariance.html| totalvariance]]: Returns the total variance of an array. | ||
+ | * [[doc:rtl/math/sumofsquares.html| sumofsquares]]: Returns the sum of squares of an array. | ||
+ | * [[doc:rtl/math/sum.html| sum]]: Returns the sum of values of an array. | ||
+ | * [[doc:rtl/math/sumsandsquares.html| sumsandsquares]]: Returns sum and sum of squares of the values in an array. | ||
[[Category:Statistical algorithms]] | [[Category:Statistical algorithms]] |
Revision as of 01:54, 21 April 2013
The unit math of the RTL provides a plethora of routines for descriptive statistics.
- mean: Returns the mean value of an array.
- stddev: Returns the standard deviation of an array.
- meanandstddev: Returns mean and standard deviation of an array.
- momentskewkurtosis: Returns the first four moments of an array.
- variance: Returns the variance of an array.
- totalvariance: Returns the total variance of an array.
- sumofsquares: Returns the sum of squares of an array.
- sum: Returns the sum of values of an array.
- sumsandsquares: Returns sum and sum of squares of the values in an array.