how to learn / get free matlab code for fnctions

Source Code:

• angle_mean.m returns the mean of the Angle PDF.
• angle_pdf.m evaluates the Angle PDF.
• anglit_cdf.m evaluates the Anglit CDF.
• anglit_cdf_inv.m inverts the Anglit CDF.
• anglit_mean.m returns the mean of the Anglit PDF.
• anglit_pdf.m evaluates the Anglit PDF.
• anglit_sample.m samples the Anglit PDF.
• anglit_variance.m returns the variance of the Anglit PDF.
• arcsin_cdf.m evaluates the Arcsin CDF.
• arcsin_check.m checks the parameters of the Arcsin PDF.
• arcsin_cdf_inv.m inverts the Arcsin CDF.
• arcsin_mean.m returns the mean of the Arcsin PDF.
• arcsin_pdf.m evaluates the Arcsin PDF.
• arcsin_sample.m samples the Arcsin PDF.
• arcsin_variance.m returns the variance of the Arcsin PDF.
• benford_pdf.m returns the Benford probability of one or more significant digits.
• bernoulli_cdf.m evaluates the Bernoulli CDF.
• bernoulli_cdf_inv.m inverts the Bernoulli CDF.
• bernoulli_check.m checks the parameter of the Bernoulli CDF.
• bernoulli_mean.m returns the mean of the Bernoulli PDF.
• bernoulli_pdf.m evaluates the Bernoulli PDF.
• bernoulli_sample.m samples the Bernoulli PDF.
• bernoulli_variance.m returns the variance of the Bernoulli PDF.
• bessel_i0.m evaluates the Bessel function I0(x).
• bessel_i0_values.m returns some values of the Bessel function I0(x).
• bessel_i1.m evaluates the Bessel function I1(x).
• bessel_i1_values.m returns some values of the Bessel function I1(x).
• bessel_ix_values.m returns some values of the Bessel function In(x) for noninteger order.
• beta.m returns the value of the Beta function.
• beta_binomial_cdf.m evaluates the Beta Binomial CDF.
• beta_binomial_cdf_inv.m inverts the Beta Binomial CDF.
• beta_binomial_check.m checks the parameters of the Beta Binomial PDF.
• beta_binomial_mean.m returns the mean of the Beta Binomial PDF.
• beta_binomial_pdf.m evaluates the Beta Binomial PDF.
• beta_binomial_sample.m samples the Beta Binomial CDF.
• beta_binomial_variance.m returns the variance of the Beta Binomial PDF.
• beta_cdf.m evaluates the Beta CDF.
• beta_cddf_inv.m inverts the Beta CDF.
• beta_cdf_values.m returns some values of the Beta CDF.
• beta_check.m checks the parameters of the Beta PDF.
• beta_inc.m returns the value of the incomplete Beta function.
• beta_inc_values.m returns some values of the incomplete Beta function.
• beta_mean.m returns the mean of the Beta PDF.
• beta_pdf.m evaluates the Beta PDF.
• beta_sample.m samples the Beta PDF.
• beta_variance.m returns the variance of the Beta PDF.
• binomial_cdf.m evaluates the Binomial CDF.
• binomial_cdf_values.m returns some values of the binomial CDF.
• binomial_cdf_inv.m inverts the Binomial CDF.
• binomial_cdf_values.m returns some values of the Binomial CDF.
• binomial_check.m checks the parameter of the Binomial PDF.
• binomial_coef.m computes the Binomial coefficient C(N,K).
• binomial_coef_log.m computes the logarithm of the Binomial coefficient.
• binomial_mean.m returns the mean of the Binomial PDF.
• binomial_pdf.m evaluates the Binomial PDF.
• binomial_sample.m samples the Binomial PDF.
• binomial_variance.m returns the variance of the Binomial PDF.
• birthday_cdf.m evaluates the Birthday CDF.
• birthday_cdf_inv.m inverts the Birthday CDF.
• birthday_pdf.m evaluates the Birthday PDF.
• bradford_cdf.m evaluates the Bradford CDF.
• bradford_cdf_inv.m inverts the Bradford CDF.
• bradford_check.m checks the parameters of the Bradford PDF.
• bradford_mean.m returns the mean of the Bradford PDF.
• bradford_pdf.m evaluates the Bradford PDF.
• bradford_sample.m samples the Bradford PDF.
• bradford_variance.m returns the variance of the Bradford PDF.
• buffon_laplace_pdf.m evaluates the Buffon-Laplace PDF.
• buffon_laplace_simulate.m simulates the Buffon-Laplace needle experiment.
• buffon_pdf.m evaluates the Buffon PDF.
• buffon_simulate.m simulates the Buffon needle experiment.
• burr_cdf.m evaluates the Burr CDF.
• burr_cdf_inv.m inverts the Burr CDF.
• burr_check.m checks the parameters of the Burr CDF.
• burr_mean.m returns the mean of the Burr PDF.
• burr_pdf.m evaluates the Burr PDF.
• burr_sample.m samples the Burr PDF.
• burr_variance.m returns the variance of the Burr PDF.
• c_normal_01_sample.m samples the complex Normal 01 PDF.
• cardioid_cdf.m evaluates the Cardioid CDF.
• cardioid_cdf_inv.m inverts the Cardioid CDF.
• cardioid_check.m checks the parameters of the Cardioid CDF.
• cardioid_mean.m returns the mean of the Cardioid CDF.
• cardioid_pdf.m evaluates the Cardioid PDF.
• cardioid_sample.m samples the Cardioid CDF.
• cardioid_variance.m returns the variance of the Cardioid CDF.
• cauchy_cdf.m evaluates the Cauchy CDF.
• cauchy_cdf_inv.m inverts the Cauchy CDF.
• cauchy_cdf_values.m returns some values of the Cauchy CDF.
• cauchy_check.m checks the parameters of the Cauchy CDF.
• cauchy_mean.m returns the mean of the Cauchy PDF.
• cauchy_pdf.m evaluates the Cauchy PDF.
• cauchy_sample.m samples the Cauchy PDF.
• cauchy_variance.m returns the variance of the Cauchy PDF.
• chi_cdf.m evaluates the Chi CDF.
• chi_cdf_inv.m inverts the Chi CDF.
• chi_check.m checks the parameters of the Chi CDF.
• chi_mean.m returns the mean of the Chi PDF.
• chi_pdf.m evaluates the Chi PDF.
• chi_sample.m samples the Chi PDF.
• chi_variance.m returns the variance of the Chi PDF.
• chi_square_cdf.m evaluates the chi-squared CDF.
• chi_square_cdf_inv.m inverts the chi-squared PDF.
• chi_square_cdf_values.m returns values of the Chi-Square central CDF.
• chi_square_check.m checks the parameter of the central Chi-Squared PDF.
• chi_square_mean.m returns the mean of the central Chi-Squared PDF.
• chi_square_pdf.m evaluates the central Chi-Squared PDF.
• chi_square_sample.m samples the central Chisquare PDF.
• chi_square_variance.m returns the variance of the central Chisquare PDF.
• chi_square_noncentral_check.m checks the parameters of the noncentral Chi-Squared PDF.
• chi_square_noncentral_cdf_values.m returns some values of the noncentral Chi-Squared CDF.
• chi_square_noncentral_mean.m returns the mean of the noncentral Chi-Squared PDF.
• chi_square_noncentral_sample.m samples the noncentral Chisquare PDF.
• chi_square_noncentral_variance.m returns the variance of the noncentral Chi-Squared PDF.
• circle_sample.m samples points from a circle.
• circular_normal_01_mean.m returns the mean of the Circular Normal 01 PDF.
• circular_normal_01_pdf.m evaluates the Circular Normal 01 PDF.
• circular_normal_01_sample.m samples the Circular Normal 01 PDF.
• circular_normal_01_variance.m returns the variance of the Circular Normal 01 PDF.
• combinatorial.m returns the combinatorial coefficient.
• cosine_cdf.m evaluates the Cosine CDF.
• cosine_cdf.m inverts the Cosine CDF.
• cosine_check.m checks the parameters of the Cosine CDF.
• cosine_mean.m returns the mean of the Cosine PDF.
• cosine_pdf.m evaluates the Cosine PDF.
• cosine_sample.m samples the Cosine PDF.
• cosine_variance.m returns the variance of the Cosine PDF.
• coupon_complete_pdf.m returns the variance of the Complete Coupon PDF.
• coupon_mean.m returns the variance of the Coupon PDF.
• coupon_simulate.m simulates the coupon collector's problem.
• coupon_variance.m returns the variance of the Coupon PDF.
• csc.m returns the cosecant of an angle.
• deranged_cdf.m evaluates the Deranged CDF.
• deranged_cdf_inv.m inverts the Deranged CDF.
• deranged_check.m checks the parameter of the Deranged PDF.
• deranged_enum.m returns the number of derangements of N objects.
• deranged_mean.m returns the mean of the Deranged CDF.
• deranged_pdf.m evaluates the Deranged PDF.
• deranged_sample.m samples the Deranged PDF.
• deranged_variance.m returns the variance of the Deranged CDF.
• digamma.m calculates the digamma or Psi function = d ( LOG ( GAMMA ( X ) ) ) / dX
• dipole_cdf.m evaluates the Dipole CDF.
• dipole_cdf_inv.m inverts the Dipole CDF.
• dipole_check.m checks the parameters of the Dipole CDF.
• dipole_pdf.m evaluates the Dipole PDF.
• dipole_sample.m samples the Dipole PDF.
• dirichlet_check.m checks the parameters of the Dirichlet PDF.
• dirichlet_mean.m returns the means of the Dirichlet PDF.
• dirichlet_mix_check.m checks the parameters of a Dirichlet mixture PDF.
• dirichlet_mix_mean.m returns the means of a Dirichlet mixture PDF.
• dirichlet_mix_pdf.m evaluates a Dirichlet mixture PDF.
• dirichlet_mix_sample.m samples a Dirichlet mixture PDF.
• dirichlet_moment2.m returns the second moments of the Dirichlet PDF.
• dirichlet_multinomial_pdf.m evaluates a Dirichlet Multinomial PDF.
• dirichlet_pdf.m evaluates the Dirichlet PDF.
• dirichlet_sample.m samples the Dirichlet PDF.
• dirichlet_variance.m returns the variances of the Dirichlet PDF.
• discrete_cdf.m evaluates the Discrete CDF.
• discrete_cdf_inv.m inverts the Discrete CDF.
• discrete_check.m checks the parameters of the Discrete CDF.
• discrete_mean.m evaluates the mean of the Discrete PDF.
• discrete_pdf.m evaluates the Discrete PDF.
• discrete_sample.m samples the Discrete PDF.
• discrete_variance.m evaluates the variance of the Discrete PDF.
• e_constant.m returns the value of E.
• empirical_discrete_cdf.m evaluates the Empirical Discrete CDF.
• empirical_discrete_cdf_inv.m inverts the Empirical Discrete CDF.
• empirical_discrete_check.m checks the parameters of the Empirical Discrete CDF.
• empirical_discrete_mean.m returns the mean of the Empirical Discrete PDF.
• empirical_discrete_pdf.m evaluates the Empirical Discrete PDF.
• empirical_discrete_sample.m samples the Empirical Discrete PDF.
• empirical_discrete_variance.m returns the variance of the Empirical Discrete PDF.
• english_sentence_length_cdf.m evaluates the English Sentence Length CDF.
• english_sentence_length_cdf_inv.m inverts the English Sentence Length CDF.
• english_sentence_length_mean.m evaluates the mean of the English Sentence Length PDF.
• english_sentence_length_pdf.m evaluates the English Sentence Length PDF.
• english_sentence_length_sample.m samples the English Sentence Length PDF.
• english_sentence_length_variance.m evaluates the variance of the English Sentence Length PDF.
• english_word_length_cdf.m evaluates the English Word Length CDF.
• english_word_length_cdf_inv.m inverts the English Word Length CDF.
• english_word_length_mean.m evaluates the mean of the English Word Length PDF.
• english_word_length_pdf.m evaluates the English Word Length PDF.
• english_word_length_sample.m samples the English Word Length PDF.
• english_word_length_variance.m evaluates the variance of the English Word Length PDF.
• erlang_cdf.m evaluates the Erlang CDF.
• erlang_cdf_inv.m inverts the Erlang CDF.
• erlang_check.m checks the parameters of the Erlang PDF.
• erlang_mean.m returns the mean of the Erlang PDF.
• erlang_pdf.m evaluates the Erlang PDF.
• erlang_sample.m samples the Erlang PDF.
• erlang_variance.m returns the variance of the Erlang PDF.
• error_f.m evaluates the error function ERF.
• error_f_inverse.m inverts the error function ERF.
• euler_constant.m returns the value of the Euler-Mascheroni constant.
• exponential_01_cdf.m evaluates the Exponential 01 CDF.
• exponential_01_cdf_inv.m inverts the Exponential 01 CDF.
• exponential_01_mean.m returns the mean of the Exponential 01 PDF.
• exponential_01_pdf.m evaluates the Exponential 01 PDF.
• exponential_01_sample.m samples the Exponential PDF with parameter 1.
• exponential_01_variance.m returns the variance of the Exponential 01 PDF.
• exponential_cdf.m evaluates the Exponential CDF.
• exponential_cdf_inv.m inverts the Exponential CDF.
• exponential_cdf_values.m returns some values of the Exponential CDF.
• exponential_check.m checks the parameters of the Exponential CDF.
• exponential_mean.m returns the mean of the Exponential PDF.
• exponential_pdf.m evaluates the Exponential PDF.
• exponential_sample.m samples the Exponential PDF.
• exponential_variance.m returns the variance of the Exponential PDF.
• extreme_values_cdf.m evaluates the Extreme Values CDF.
• extreme_values_cdf_inv.m inverts the Extreme Values CDF.
• extreme_values_cdf_values.m returns some values of the Extreme Values CDF.
• extreme_values_check.m checks the parameters of the Extreme Values CDF.
• extreme_values_mean.m returns the mean of the Extreme Values PDF.
• extreme_values_pdf.m evaluates the Extreme Values PDF.
• extreme_values_sample.m samples the Extreme Values PDF.
• extreme_values_variance.m returns the variance of the Extreme Values PDF.
• f_cdf.m evaluates the F central CDF.
• f_cdf_values.m returns some values of the F central CDF test function.
• f_check.m checks the parameters of the F central PDF.
• f_mean.m returns the mean of the F central PDF.
• f_pdf.m evaluates the F central PDF.
• f_sample.m samples the F central PDF.
• f_variance.m returns the variance of the F central PDF.
• f_noncentral_cdf_values.m returns some values of the Noncentral F CDF.
• f_noncentral_check.m checks the parameters of the F noncentral PDF.
• f_noncentral_mean.m returns the mean of the F noncentral PDF.
• f_noncentral_variance.m returns the variance of the F noncentral PDF.
• factorial_log.m returns the logarithm of N!.
• factorial_sterling.m computes Stirling's approximation to N!.
• fisher_pdf.m evaluates the Fisher PDF.
• fisher_sample.m samples the Fisher PDF.
• fisk_cdf.m evaluates the Fisk CDF.
• fisk_cdf_inv.m inverts the Fisk CDF.
• fisk_check.m checks the parameters of the Fisk PDF.
• fisk_mean.m returns the mean of the Fisk PDF.
• fisk_pdf.m evaluates the Fisk PDF.
• fisk_sample.m samples the Fisk PDF.
• fisk_variance.m returns the variance of the Fisk PDF.
• folded_normal_cdf.m evaluates the Folded Normal CDF.
• folded_normal_cdf_inv.m inverts the Folded Normal CDF.
• folded_normal_check.m checks the parameters of the Folded Normal CDF.
• folded_normal_mean.m returns the mean of the Folded Normal PDF.
• folded_normal_pdf.m evaluates the Folded Normal PDF.
• folded_normal_sample.m samples the Folded Normal PDF.
• folded_normal_variance.m returns the variance of the Folded Normal PDF.
• frechet_cdf.m evaluates the Frechet CDF.
• frechet_cdf_inv.m inverts the Frechet CDF.
• frechet_mean.m returns the mean of the Frechet PDF.
• frechet_pdf.m evaluates the Frechet PDF.
• frechetk_sample.m samples the Frechet PDF.
• frechet_variance.m returns the variance of the Frechet PDF.
• gamma_cdf.m evaluates the Gamma CDF.
• gamma_cdf_values.m returns some values of the Gamma CDF.
• gamma_check.m checks the parameters of the Gamma PDF.
• gamma_inc.m computes the incomplete Gamma function.
• gamma_inc_values.m returns some values of the incomplete Gamma function.
• gamma_log_int.m computes the logarithm of Gamma of an integer N.
• gamma_mean.m returns the mean of the Gamma PDF.
• gamma_pdf.m evaluates the Gamma PDF.
• gamma_sample.m samples the Gamma PDF.
• gamma_variance.m returns the variance of the Gamma PDF.
• genlogistic_cdf.m evaluates the Generalized Logistic CDF.
• genlogistic_cdf_inv.m inverts the Generalized Logistic CDF.
• genlogistic_check.m checks the parameters of the Generalized Logistic CDF.
• genlogistic_mean.m returns the mean of the Generalized Logistic PDF.
• genlogistic_pdf.m evaluates the Generalized Logistic PDF.
• genlogistic_sample.m samples the Generalized Logistic PDF.
• genlogistic_variance.m returns the variance of the Generalized Logistic PDF.
• geometric_cdf.m evaluates the Geometric CDF.
• geometric_cdf_inv.m inverts the Geometric CDF.
• geometric_cdf_values.m returns some values of the Geometric CDF.
• geometric_check.m checks the parameter of the Geometric CDF.
• geometric_mean.m returns the mean of the Geometric PDF.
• geometric_pdf.m evaluates the Geometric PDF.
• geometric_sample.m samples the Geometric PDF.
• geometric_variance.m returns the variance of the Geometric PDF.
• gompertz_cdf.m evaluates the Gompertz CDF.
• gompertz_cdf_inv.m inverts the Gompertz CDF.
• gompertz_check.m checks the parameters of the Gompertz PDF.
• gompertz_pdf.m evaluates the Gompertz PDF.
• gompertz_sample.m samples the Gompertz PDF.
• gumbel_cdf.m evaluates the Gumbel CDF.
• gumbel_cdf_inv.m inverts the Gumbel CDF.
• gumbel_mean.m returns the mean of the Gumbel PDF.
• gumbel_pdf.m evaluates the Gumbel PDF.
• gumbel_sample.m samples the Gumbel PDF.
• gumbel_variance.m returns the variance of the Gumbel PDF.
• half_normal_cdf.m evaluates the Half Normal CDF.
• half_normal_cdf_inv.m inverts the Half Normal CDF.
• half_normal_check.m checks the parameters of the Half Normal PDF.
• half_normal_mean.m returns the mean of the Half Normal PDF.
• half_normal_pdf.m evaluates the Half Normal PDF.
• half_normal_sample.m samples the Half Normal PDF.
• half_normal_variance.m returns the variance of the Half Normal PDF.
• hypergeometric_cdf.m evaluates the Hypergeometric CDF.
• hypergeometric_cdf_values.m returns some values of the Hypergeometric CDF.
• hypergeometric_check.m checks the parameters of the Hypergeometric CDF.
• hypergeometric_mean.m returns the mean of the Hypergeometric PDF.
• hypergeometric_pdf.m evaluates the Hypergeometric PDF.
• hypergeometric_sample.m samples the Hypergeometric PDF.
• hypergeometric_variance.m returns the variance of the Hypergeometric PDF.
• i4_factorial.m returns the value of N!.
• i4_uniform.m returns a random integer in a given range.
• i4row_max.m returns the maximums of rows of an I4ROW.
• i4row_mean.m returns the means of the rows of an I4ROW.
• i4row_min.m returns the minimums of rows of an I4ROW.
• i4row_variance.m returns the variances of the rows of an I4ROW.
• i4vec_max.m returns the maximum value in an I4VEC.
• i4vec_mean.m returns the mean of an I4VEC.
• i4vec_min.m returns the minimum value in an I4VEC.
• i4vec_print.m prints an I4VEC.
• i4vec_run_count.m counts the runs of equal values in an I4VEC.
• i4vec_variance.m returns the variance of an I4VEC.
• inverse_gaussian_cdf.m evaluates the Inverse Gaussian CDF.
• inverse_gaussian_check.m checks the parameters of the Inverse Gaussian CDF.
• inverse_gaussian_mean.m returns the mean of the Inverse Gaussian PDF.
• inverse_gaussian_pdf.m evaluates the Inverse Gaussian PDF.
• inverse_gaussian_sample.m samples the Inverse Gaussian PDF.
• inverse_gaussian_variance.m returns the variance of the Inverse Gaussian PDF.
• laplace_cdf.m evaluates the Laplace CDF.
• laplace_cdf_inv.m inverts the Laplace CDF.
• laplace_cdf_values.m returns some values of the Laplace CDF.
• laplace_check.m checks the parameters of the Laplace PDF.
• laplace_mean.m returns the mean of the Laplace PDF.
• laplace_pdf.m evaluates the Laplace PDF.
• laplace_sample.m samples the Laplace PDF.
• laplace_variance.m returns the variance of the Laplace PDF.
• lerch.m estimates the Lerch transcendent function.
• levy_cdf.m evaluates the Levy CDF.
• levy_cdf_inv.m inverts the Levy CDF.
• levy_pdf.m evaluates the Levy PDF.
• levy_sample.m samples the Levy PDF.
• logistic_cdf.m evaluates the Logistic CDF.
• logistic_cdf_inv.m inverts the Logistic CDF.
• logistic_cdf_values.m returns some values of the Logistic CDF.
• logistic_check.m checks the parameters of the Logistic CDF.
• logistic_mean.m returns the mean of the Logistic PDF.
• logistic_pdf.m evaluates the Logistic PDF.
• logistic_sample.m samples the Logistic PDF.
• logistic_variance.m returns the variance of the Logistic PDF.
• log_normal_cdf.m evaluates the Lognormal CDF.
• log_normal_cdf_inv.m inverts the Lognormal CDF.
• log_normal_cdf_values.m returns some values of the Log Normal CDF.
• log_normal_check.m checks the parameters of the Lognormal PDF.
• log_normal_mean.m returns the mean of the Lognormal PDF.
• log_normal_pdf.m evaluates the Lognormal PDF.
• log_normal_sample.m samples the Lognormal PDF.
• log_normal_variance.m returns the variance of the Lognormal PDF.
• log_series_cdf.m evaluates the Logarithmic Series CDF.
• log_series_cdf_inv.m inverts the Logarithmic Series CDF.
• log_series_cdf_values.m returns some values of the Log Series CDF.
• log_series_check.m checks the parameter of the Logarithmic Series PDF.
• log_series_mean.m returns the mean of the Logarithmic Series PDF.
• log_series_pdf.m evaluates the Logarithmic Series PDF.
• log_series_sample.m samples the Logarithmic Series PDF.
• log_series_variance.m returns the variance of the Logarithmic Series PDF.
• log_uniform_cdf.m evaluates the Log Uniform CDF.
• log_uniform_cdf_inv.m inverts the Log Uniform CDF.
• log_uniform_check.m checks the parameters of the Log Uniform PDF.
• log_uniform_mean.m returns the mean of the Log Uniform PDF.
• log_uniform_pdf.m evaluates the Log Uniform PDF.
• log_uniform_sample.m samples the Log Uniform PDF.
• log_uniform_variance.m returns the variance of the Log Uniform PDF.
• lorentz_cdf.m evaluates the Lorentz CDF.
• lorentz_cdf_inv.m inverts the Lorentz CDF.
• lorentz_mean.m returns the mean of the Lorentz PDF.
• lorentz_pdf.m evaluates the Lorentz PDF.
• lorentz_sample.m samples the Lorentz PDF.
• lorentz_variance.m returns the variance of the Lorentz PDF.
• maxwell_cdf.m evaluates the Maxwell CDF.
• maxwell_cdf_inv.m inverts the Maxwell CDF.
• maxwell_check.m checks the parameters of the Maxwell CDF.
• maxwell_mean.m returns the mean of the Maxwell PDF.
• maxwell_pdf.m evaluates the Maxwell PDF.
• maxwell_sample.m samples the Maxwell PDF.
• maxwell_variance.m returns the variance of the Maxwell PDF.
• multicoef_check.m checks the parameters of the multinomial coefficient.
• multinomial_coef1.m computes a Multinomial coefficient.
• multinomial_coef2.m computes a Multinomial coefficient.
• multinomial_check.m checks the parameters of the Multinomial PDF.
• multinomial_covariance.m returns the covariances of the Multinomial PDF.
• multinomial_mean.m returns the means of the Multinomial PDF.
• multinomial_pdf.m computes a Multinomial PDF.
• multinomial_sample.m samples the Multinomial PDF.
• multinomial_variance.m returns the variances of the Multinomial PDF.
• multivariate_normal_sample.m samples the Multivariate Normal PDF.
• nakagami_cdf.m evaluates the Nakagami CDF.
• nakagami_check.m checks the parameters of the Nakagami PDF.
• nakagami_mean.m returns the mean of the Nakagami PDF.
• nakagami_pdf.m evaluates the Nakagami PDF.
• nakagami_variance.m returns the variance of the Nakagami PDF.
• negative_binomial_cdf.m evaluates the Negative Binomial CDF.
• negative_binomial_cdf_inv.m inverts the Negative Binomial CDF.
• negative_binomial_cdf_values.m returns some values of the Negative Binomial CDF.
• negative_binomial_check.m checks the parameters of the Negative Binomial PDF.
• negative_binomial_mean.m returns the mean of the Negative Binomial PDF.
• negative_binomial_pdf.m evaluates the Negative Binomial PDF.
• negative_binomial_sample.m samples the Negative Binomial PDF.
• negative_binomial_variance.m returns the variance of the Negative Binomial PDF.
• normal_01_cdf.m evaluates the Normal 01 CDF.
• normal_01_cdf_inv.m inverts the Normal 01 CDF.
• normal_01_cdf_values.m returns some values of the Normal 01 CDF.
• normal_01_mean.m returns the mean of the Normal 01 PDF.
• normal_01_pdf.m evaluates the Normal 01 PDF.
• normal_01_sample.m samples the standard normal probability distribution.
• normal_01_variance.m returns the variance of the Normal 01 PDF.
• normal_01_vector.m samples the standard normal probability distribution.
• normal_cdf.m evaluates the Normal CDF.
• normal_cdf_inv.m inverts the Normal CDF.
• normal_cdf_values.m returns some values of the Normal CDF.
• normal_check.m checks the parameters of the Normal PDF.
• normal_mean.m returns the mean of the Normal PDF.
• normal_pdf.m evaluates the Normal PDF.
• normal_sample.m samples the Normal PDF.
• normal_variance.m returns the variance of the Normal PDF.
• normal_vector.m samples the normal probability distribution.
• owen_values.m returns values of Owen's T function.
• pareto_cdf.m evaluates the Pareto CDF.
• pareto_cdf_inv.m inverts the Pareto CDF.
• pareto_check.m checks the parameters of the Pareto CDF.
• pareto_mean.m returns the mean of the Pareto PDF.
• pareto_pdf.m evaluates the Pareto PDF.
• pareto_sample.m samples the Pareto PDF.
• pareto_variance.m returns the variance of the Pareto PDF.
• pearson_05_check.m checks the parameters of the Pearson 5 PDF.
• pearson_05_mean.m evaluates the mean of the Pearson 5 PDF.
• pearson_05_pdf.m evaluates the Pearson 5 PDF.
• pearson_05_sample.m samples the Pearson 5 PDF.
• planck_check.m checks the parameters of the Planck PDF.
• planck_mean.m returns the mean of the Planck PDF.
• planck_pdf.m evaluates the Planck PDF.
• planck_sample.m samples the Planck PDF.
• planck_variance.m returns the variance of the Planck PDF.
• point_distance_1d_pdf.m evaluates the point distance PDF in 1D.
• point_distance_2d_pdf.m evaluates the point distance PDF in 2D.
• point_distance_3d_pdf.m evaluates the point distance PDF in the 3D.
• poisson_cdf.m evaluates the Poisson CDF.
• poisson_cdf_inv.m inverts the Poisson CDF.
• poisson_cdf_values.m returns some values of the Poisson CDF.
• poisson_check.m checks the parameter of the Poisson PDF.
• poisson_mean.m returns the mean of the Poisson PDF.
• poisson_pdf.m evaluates the Poisson PDF.
• poisson_sample.m samples the Poisson PDF.
• poisson_variance.m returns the variance of the Poisson PDF.
• power_cdf.m evaluates the Power CDF.
• power_cdf_inv.m inverts the Power CDF.
• power_check.m checks the parameter of the Power PDF.
• power_mean.m returns the mean of the Power PDF.
• power_pdf.m evaluates the Power PDF.
• power_sample.m samples the Power PDF.
• power_variance.m returns the variance of the Power PDF.
• psi_values.m returns some values of the Psi or Digamma function.
• quasigeometric_cdf.m evaluates the Quasigeometric CDF.
• quasigeometric_cdf_inv.m inverts the Quasigeometric CDF.
• quasigeometric_check.m checks the parameters of the Quasigeometric CDF.
• quasigeometric_mean.m returns the mean of the Quasigeometric PDF.
• quasigeometric_pdf.m evaluates the Quasigeometric PDF.
• quasigeometric_sample.m samples the Quasigeometric PDF.
• quasigeometric_variance.m returns the variance of the Quasigeometric PDF.
• r4_uniform_01.m returns a random real in [0,1].
• r8_ceiling.m rounds a double precision value "up" to the nearest integer.
• r8_epsilon.m returns the double precision arithmetic precision.
• r8_huge.m returns a very large double precision value.
• r8_uniform.m returns a uniformly random double precision value in a given range.
• r8_uniform_01.m is a portable pseudorandom number generator.
• r8poly_value.m evaluates a polynomial.
• r8row_max.m returns the maximums of rows of an R8ROW.
• r8row_mean.m returns the means of rows of an R8ROW.
• r8row_min.m returns the minimums of rows of an R8ROW.
• r8row_variance.m returns the variances of the rows of an R8ROW.
• r8vec_circular_variance.m returns the circular variance in an R8VEC.
• r8vec_max.m returns the maximum value in an R8VEC.
• r8vec_mean.m returns the mean of an R8VEC.
• r8vec_min.m returns the minimum value in an R8VEC.
• r8vec_print.m prints an R8VEC.
• r8vec_uniform.m returns an R8VEC. of random double precision values in a given range.
• r8vec_uniform_01.m returns an R8VEC. of random double precision values in [0,1].
• r8vec_unit_sum.m normalizes an R8VEC. to have unit sum.
• r8vec_variance.m returns the variance of an R8VEC..
• rayleigh_cdf.m evaluates the Rayleigh CDF.
• rayleigh_cdf_inv.m inverts the Rayleigh CDF.
• rayleigh_cdf_values.m returns some values of the Rayleigh CDF.
• rayleigh_check.m checks the parameter of the Rayleigh PDF.
• rayleigh_mean.m returns the mean of the Rayleigh PDF.
• rayleigh_pdf.m evaluates the Rayleigh PDF.
• rayleigh_sample.m samples the Rayleigh PDF.
• rayleigh_variance.m returns the variance of the Rayleigh PDF.
• reciprocal_cdf.m evaluates the Reciprocal CDF.
• reciprocal_cdf_inv.m inverts the Reciprocal CDF.
• reciprocal_check.m checks the parameters of the Reciprocal CDF.
• reciprocal_mean.m returns the mean of the Reciprocal PDF.
• reciprocal_pdf.m evaluates the Reciprocal PDF.
• reciprocal_sample.m samples the Reciprocal PDF.
• reciprocal_variance.m returns the variance of the Reciprocal PDF.
• ribesl.m evaluates an I Bessel function of NONINTEGER order.
• runs_mean.m returns the mean of the Runs PDF.
• runs_pdf.m evaluates the Runs PDF.
• runs_sample.m samples the Runs PDF.
• runs_simulate.m simulates the Runs PDF.
• runs_variance.m returns the variance of the Runs PDF.
• sech_cdf.m evaluates the Hyperbolic Secant CDF.
• sech_cdf_inv.m inverts the Hyperbolic Secant CDF.
• sech_check.m checks the parameters of the Hyperbolic Secant CDF.
• sech_mean.m returns the mean of the Hyperbolic Secant PDF.
• sech_pdf.m evaluates the Hypebolic Secant PDF.
• sech_sample.m samples the Hyperbolic Secant PDF.
• sech_variance.m returns the variance of the Hyperbolic Secant PDF.
• semicircular_cdf.m evaluates the Semicircular CDF.
• semicircular_cdf_inv.m inverts the Semicircular CDF.
• semicircular_check.m checks the parameters of the Semicircular CDF.
• semicircular_mean.m returns the mean of the Semicircular PDF.
• semicircular_pdf.m evaluates the Semicircular PDF.
• semicircular_sample.m samples the Semicircular PDF.
• semicircular_variance.m returns the variance of the Semicircular PDF.
• sin_power_int.m returns the integral of the N-th power of the sine function.
• stirling2_value.m returns a value of the Stirling numbers of the second kind.
• student_cdf.m evaluates the central Student T CDF.
• student_cdf_values.m returns some values of the Student CDF.
• student_check.m checks the parameter of the central Student T CDF.
• student_mean.m returns the mean of the central Student T PDF.
• student_pdf.m evaluates the central Student T PDF.
• student_sample.m samples the central Student T PDF.
• student_variance.m returns the variance of the central Student T PDF.
• student_noncentral_cdf.m evaluates the noncentral Student T CDF.
• student_noncentral_cdf_values.m returns some values of the Noncentral Student CDF.
• tfn.m calculates the T function of Owen.
• timestamp.m returns the current YMDHMS date as a timestamp.
• triangle_cdf.m evaluates the Triangle CDF.
• triangle_cdf_inv.m inverts the Triangle CDF.
• triangle_check.m checks the parameters of the Triangle CDF.
• triangle_mean.m returns the mean of the Triangle PDF.
• triangle_pdf.m evaluates the Triangle PDF.
• triangle_sample.m samples the Triangle PDF.
• triangle_variance.m returns the variance of the Triangle PDF.
• triangular_cdf.m evaluates the Triangular CDF.
• triangular_cdf_inv.m inverts the Triangular CDF.
• triangular_check.m checks the parameters of the Triangular CDF.
• triangular_mean.m returns the mean of the Triangular PDF.
• triangular_pdf.m evaluates the Triangular PDF.
• triangular_sample.m samples the Triangular PDF.
• triangular_variance.m returns the variance of the Triangular PDF.
• trigamma.m calculates trigamma(x) = d**2 log(Gamma(x)) / dx**2.
• uniform_01_cdf.m evaluates the Uniform 01 CDF.
• uniform_01_cdf_inv.m inverts the Uniform 01 CDF.
• uniform_01_mean.m returns the mean of the Uniform 01 PDF.
• uniform_01_order_sample.m samples the Uniform 01 Order PDF.
• uniform_01_pdf.m evaluates the Uniform 01 PDF.
• uniform_01_sample.m is a portable random number generator.
• uniform_01_variance.m returns the variance of the Uniform 01 PDF.
• uniform_cdf.m evaluates the Uniform CDF.
• uniform_cdf_inv.m inverts the Uniform CDF.
• uniform_check.m checks the parameters of the Uniform CDF.
• uniform_mean.m returns the mean of the Uniform PDF.
• uniform_pdf.m evaluates the Uniform PDF.
• uniform_sample.m samples the Uniform PDF.
• uniform_variance.m returns the variance of the Uniform PDF.
• uniform_discrete_cdf.m evaluates the Uniform Discrete CDF.
• uniform_discrete_cdf_inv.m inverts the Uniform Discrete CDF.
• uniform_discrete_check.m checks the parameters of the Uniform discrete CDF.
• uniform_discrete_mean.m returns the mean of the Uniform discrete PDF.
• uniform_discrete_pdf.m evaluates the Uniform discrete PDF.
• uniform_discrete_sample.m samples the Uniform discrete PDF.
• uniform_discrete_variance.m returns the variance of the Uniform discrete PDF.
• uniform_nsphere_sample.m samples the Uniform Unit Sphere PDF.
• von_mises_cdf.m evaluates the von Mises CDF.
• von_mises_cdf_inv.m inverts the von Mises CDF.
• von_mises_cdf_values.m returns some values of the von Mises CDF.
• von_mises_check.m checks the parameters of the von Mises PDF.
• von_mises_circular_variance.m returns the circular variance of the von Mises PDF.
• von_mises_mean.m returns the mean of the von Mises PDF.
• von_mises_pdf.m evaluates the von Mises PDF.
• von_mises_sample.m samples the von Mises PDF.
• weibull_cdf.m evaluates the Weibull CDF.
• weibull_cdf_inv.m inverts the Weibull CDF.
• weibull_cdf_values.m returns some values of the Weibull CDF.
• weibull_check.m checks the parameters of the Weibull CDF.
• weibull_mean.m returns the mean of the Weibull PDF.
• weibull_pdf.m evaluates the Weibull PDF.
• weibull_sample.m samples the Weibull PDF.
• weibull_variance.m returns the variance of the Weibull PDF.
• weibull_discrete_cdf.m evaluates the Discrete Weibull CDF.
• weibull_discrete_cdf_inv.m inverts the Discrete Weibull CDF.
• weibull_discrete_check.m checks the parameters of the discrete Weibull CDF.
• weibull_discrete_pdf.m evaluates the discrete Weibull PDF.
• weibull_discrete_sample.m samples the discrete Weibull PDF.
• zeta.m estimates the Riemann Zeta function.
• zipf_cdf.m evaluates the Zipf CDF.
• zipf_check.m checks the parameter of the Zipf PDF.
• zipf_mean.m returns the mean of the Zipf PDF.
• zipf_pdf.m evaluates the Zipf PDF.
• zipf_sample.m samples the Zipf PDF.
• zipf_variance.m returns the variance of the Zipf PDF.