### Statistics::Descriptive - Module of basic descriptive statistical functions. River stage two • 24 direct dependents • 41 total dependents 20 ++

This module provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and on...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Descriptive::PDL - A close to drop-in replacement for Statistics::Descriptive using PDL as the back-end River stage zero No dependents ++

This module provides basic functions used in descriptive statistics....

/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC

### Statistics::Descriptive::Full - Module of basic descriptive statistical functions. River stage two • 24 direct dependents • 41 total dependents 20 ++

This module provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and on...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Descriptive::Sparse - Module of basic descriptive statistical functions. River stage two • 24 direct dependents • 41 total dependents 20 ++

This module provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and on...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Descriptive::LogScale - Memory-efficient approximate univariate descriptive statistics class. River stage zero No dependents ++

This module aims at providing some advanced statistical functions without storing all data in memory, at the cost of certain (predictable) precision loss. Data is represented by a set of bins that only store counts of fitting data points. Most bins a...

/Statistics-Descriptive-LogScale-0.11 - 11 Nov 2017 22:52:08 UTC

### Statistics::Descriptive::Smoother - Base module for smoothing statistical data River stage two • 24 direct dependents • 41 total dependents 20 ++

This module provide methods to smooth the trend of a series of statistical data. The methods provided are the "Exponential" and the "Weighted Exponential" (see respectively "Statistics::Descriptive::Smoother::Exponential" and "Statistics::Descriptive...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Descriptive::Weighted - Module of basic descriptive statistical functions for weighted variates. River stage zero No dependents 1 ++

This module partially extends the module Statistics::Descriptive to handle weighted variates. Like that module, this module has an object-oriented design and supports two different types of data storage and calculation objects: sparse and full. With ...

/Statistics-Descriptive-Weighted-0.7 - 04 Apr 2014 00:04:43 UTC

### Statistics::Descriptive::Discrete - Compute descriptive statistics for discrete data sets. River stage zero No dependents 1 ++

This module provides basic functions used in descriptive statistics. It borrows very heavily from Statistics::Descriptive::Full (which is included with Statistics::Descriptive) with one major difference. This module is optimized for discretized data ...

/Statistics-Descriptive-Discrete-0.12 - 05 May 2019 05:18:26 UTC

### Statistics::Descriptive::PDL::Weighted - A close to drop-in replacement for Statistics::Descriptive::Weighted using PDL as the back-end River stage zero No dependents ++

This module provides basic functions used in descriptive statistics using weighted values....

/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC

### Statistics::Descriptive::PDL::SampleWeighted - Sample weighted descriptive statistics using PDL as the back-end River stage zero No dependents ++

This module provides basic functions used in descriptive statistics using weighted values. Inherits from Statistics::Descriptive::PDL::Weighted, with the key difference that the weights are forced to be integers. Variance, skewness and kurtosis all u...

/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC

### Statistics::Descriptive::Smoother::Exponential - Implement exponential smoothing River stage two • 24 direct dependents • 41 total dependents 20 ++

This module implement the exponential smoothing algorithm to smooth the trend of a series of statistical data. This algorithm works well for unsmoothed data build with big number of samples. If this is not the case you might consider using the "Weigh...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Descriptive::Smoother::Weightedexponential - Implement weighted exponential smoothing River stage two • 24 direct dependents • 41 total dependents 20 ++

This module implement the weighted exponential smoothing algorithm to smooth the trend of a series of statistical data. This algorithm can help to control large swings in the unsmoothed data that arise from small samples for those data points. The al...

/Statistics-Descriptive-3.0801 - 02 Jul 2023 09:18:16 UTC

### Statistics::Running - Basic descriptive statistics (mean/stdev/min/max/skew/kurtosis) and discrete Probability Distribution (via histogram) over data without the need to store data points ever. OOP style. River stage zero No dependents ++

Statistics are updated every time a new data point is added in. The common practice to calculate descriptive statistics for 5 data points as well as 1 billion points is to store them in an array, loop over the array to calculate the mean, then loop o...

/Statistics-Running-0.13 - 16 Feb 2019 19:22:25 UTC

### Statistics::OLS - perform ordinary least squares and associated statistics, v 0.07. River stage zero No dependents ++

I wrote Statistics::OLS to perform Ordinary Least Squares (linear curve fitting) on two dimensional data: y = a + bx. The other simple statistical module I found on CPAN (Statistics::Descriptive) is designed for univariate analysis. It accomodates OL...

/Statistics-OLS-0.07 - 13 Oct 2000 05:53:44 UTC

### Statistics::Cluto - Perl binding for CLUTO River stage zero No dependents ++

This is a perl binding for CLUTO. Please refer to the CLUTO's manual sections 5.6 - 5.8 for details of each function. Basically, Statistics::Cluto has all corresponding methods for functions described in the manual. loading matrix Initial matrix can ...

/Statistics-Cluto-0.01 - 14 Mar 2007 14:07:55 UTC

### Statistics::TTest - Perl module to perform T-test on 2 independent samples Statistics::TTest::Sufficient - Perl module to perfrom T-Test on 2 indepdent samples using sufficient statistics River stage one • 3 direct dependents • 3 total dependents ++

Statistics::TTest This is the Statistical T-Test module to compare 2 independent samples. It takes 2 array of point measures, compute the confidence intervals using the PointEstimation module (which is also included in this package) and use the T-sta...

/Statistics-TTest-1.1.0 - 24 Jul 2003 05:33:16 UTC

### Statistics::Frequency - simple counting of elements River stage one • 2 direct dependents • 2 total dependents 1 ++

Statistics::Frequency is a simple class for counting *elements*, in other words, their *frequencies*. Note that Statistics::Frequency is not similar to statistics modules like, say, Statistics::Descriptive. Statistics::Frequency doesn't operate on nu...

/Statistics-Frequency-0.04 - 25 Aug 2015 02:57:39 UTC

### Statistics::Histogram - Create a standard histogram for command-line display River stage one • 1 direct dependent • 1 total dependent 1 ++

This module exports a single routine, get_histogram, which expects an array reference as its only required argument. The array should contain a sequence of numbers, and the response will be an ascii-formatted histogram, including some header lines pr...

/Statistics-Histogram-0.2 - 08 Jan 2011 22:52:01 UTC

### Statistics::Table::F - Perl module for computing the statistical F-ratio River stage zero No dependents ++

See Orwant, Hietaniemi, and Macdonald, *Mastering Algorithms in Perl*, O'Reilly 1999. From Chapter 15: The significance tests covered so far can only pit one group against another. Sure, we could do a t-test of every possible pair of web design firms...

/Statistics-Table-F-0.02 - 18 Oct 1999 18:28:07 UTC

### Statistics::Table::F - Perl module for computing the statistical F-ratio River stage zero No dependents ++

See Orwant, Hietaniemi, and Macdonald, *Mastering Algorithms in Perl*, O'Reilly 1999. From Chapter 15: The significance tests covered so far can only pit one group against another. Sure, we could do a t-test of every possible pair of web design firms...

/Statistics-Table-F-0.02 - 18 Oct 1999 18:28:07 UTC
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