NAME
Math::GSL::Statistics - Statistical functions
SYNOPSIS
use Math::GSL::Statistics qw /:all/;
DESCRIPTION
Here is a list of all the functions in this module :
gsl_stats_mean($data, $stride, $n)
- This function returns the arithmetic mean of the array reference $data, a dataset of length $n with stride $stride. The arithmetic mean, or sample mean, is denoted by \Hat\mu and defined as, \Hat\mu = (1/N) \sum x_i where x_i are the elements of the dataset $data. For samples drawn from a gaussian distribution the variance of \Hat\mu is \sigma^2 / N.gsl_stats_variance($data, $stride, $n)
gsl_stats_sd
gsl_stats_sd_m
gsl_stats_variance_with_fixed_mean
gsl_stats_sd_with_fixed_mean
gsl_stats_tss
gsl_stats_tss_m
gsl_stats_absdev
gsl_stats_skew
gsl_stats_kurtosis
gsl_stats_lag1_autocorrelation
gsl_stats_covariance
gsl_stats_correlation
gsl_stats_variance_m($data, $stride, $n, $mean)
gsl_stats_absdev_m
gsl_stats_skew_m_sd
gsl_stats_kurtosis_m_sd
gsl_stats_lag1_autocorrelation_m
gsl_stats_covariance_m
gsl_stats_wmean
gsl_stats_wvariance
gsl_stats_wsd
gsl_stats_wvariance_with_fixed_mean
gsl_stats_wsd_with_fixed_mean
gsl_stats_wtss
gsl_stats_wtss_m
gsl_stats_wabsdev
gsl_stats_wskew
gsl_stats_wkurtosis
gsl_stats_wvariance_m
gsl_stats_wsd_m
gsl_stats_wabsdev_m
gsl_stats_wskew_m_sd
gsl_stats_wkurtosis_m_sd
gsl_stats_pvariance
gsl_stats_ttest
gsl_stats_max
gsl_stats_min
gsl_stats_minmax
gsl_stats_max_index
gsl_stats_min_index
gsl_stats_minmax_index
gsl_stats_median_from_sorted_data
gsl_stats_quantile_from_sorted_data
The following function are simply variants for int and char of the last functions:
gsl_stats_int_mean
gsl_stats_int_variance
gsl_stats_int_sd
gsl_stats_int_variance_with_fixed_mean
gsl_stats_int_sd_with_fixed_mean
gsl_stats_int_tss
gsl_stats_int_tss_m
gsl_stats_int_absdev
gsl_stats_int_skew
gsl_stats_int_kurtosis
gsl_stats_int_lag1_autocorrelation
gsl_stats_int_covariance
gsl_stats_int_correlation
gsl_stats_int_variance_m
gsl_stats_int_sd_m
gsl_stats_int_absdev_m
gsl_stats_int_skew_m_sd
gsl_stats_int_kurtosis_m_sd
gsl_stats_int_lag1_autocorrelation_m
gsl_stats_int_covariance_m
gsl_stats_int_pvariance
gsl_stats_int_ttest
gsl_stats_int_max
gsl_stats_int_min
gsl_stats_int_minmax
gsl_stats_int_max_index
gsl_stats_int_min_index
gsl_stats_int_minmax_index
gsl_stats_int_median_from_sorted_data
gsl_stats_int_quantile_from_sorted_data
gsl_stats_char_mean
gsl_stats_char_variance
gsl_stats_char_sd
gsl_stats_char_variance_with_fixed_mean
gsl_stats_char_sd_with_fixed_mean
gsl_stats_char_tss
gsl_stats_char_tss_m
gsl_stats_char_absdev
gsl_stats_char_skew
gsl_stats_char_kurtosis
gsl_stats_char_lag1_autocorrelation
gsl_stats_char_covariance
gsl_stats_char_correlation
gsl_stats_char_variance_m
gsl_stats_char_sd_m
gsl_stats_char_absdev_m
gsl_stats_char_skew_m_sd
gsl_stats_char_kurtosis_m_sd
gsl_stats_char_lag1_autocorrelation_m
gsl_stats_char_covariance_m
gsl_stats_char_pvariance
gsl_stats_char_ttest
gsl_stats_char_max
gsl_stats_char_min
gsl_stats_char_minmax
gsl_stats_char_max_index
gsl_stats_char_min_index
gsl_stats_char_minmax_index
gsl_stats_char_median_from_sorted_data
gsl_stats_char_quantile_from_sorted_data
You have to add the functions you want to use inside the qw /put_funtion_here /. You can also write use Math::GSL::Randist qw/:all/; to use all avaible functions of the module. Other tags are also avaible, here is a complete list of all tags for this module :
- all
- int
- char
For more informations on the functions, we refer you to the GSL offcial documentation: http://www.gnu.org/software/gsl/manual/html_node/
Tip : search on google: site:http://www.gnu.org/software/gsl/manual/html_node/ name_of_the_function_you_want
AUTHORS
Jonathan Leto <jonathan@leto.net> and Thierry Moisan <thierry.moisan@gmail.com>
COPYRIGHT AND LICENSE
Copyright (C) 2008 Jonathan Leto and Thierry Moisan
This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.