List of Functions
Sr.No | Function & Description |
---|---|
1 | stats_absolute_deviation() function The function can return absolute deviation of an array of values. |
2 | stats_cdf_beta() function The function can calculate any one parameter of beta distribution given values for the others. |
3 | stats_cdf_binomial() function The function can calculate any one parameter of binomial distribution given values for the others. |
4 | stats_cdf_cauchy() function The function can calculate any one parameter of Cauchy distribution given values for the others. |
5 | stats_cdf_chisquare() function The function can calculate any one parameter of chi-square distribution given values for the others. |
6 | stats_cdf_exponential() function The function can calculate any one parameter of exponential distribution given values for the others. |
7 | stats_cdf_f() function The function can calculate any one parameter of F distribution given values for the others. |
8 | stats_cdf_gamma() function The function can calculate any one parameter of gamma distribution given values for the others. |
9 | stats_cdf_laplace() function The function can calculate any one parameter of Laplace distribution given values for the others. |
10 | stats_cdf_logistic() function The function can calculate any one parameter of logistic distribution given values for the others. |
11 | stats_cdf_negative_binomial() function The function can calculate any one parameter of negative binomial distribution given values for the others. |
12 | stats_cdf_noncentral_chisquare() function The function can calculate any one parameter of non-central chi-square distribution given values for the others. |
13 | stats_cdf_noncentral_f() function The function can calculate any one parameter of non-central F distribution given values for the others. |
14 | stats_cdf_noncentral_t() function The function can calculate any one parameter of non-central t-distribution given values for the others. |
15 | stats_cdf_normal() function The function calculate any one parameter of normal distribution given values for the others. |
16 | stats_cdf_poisson() function The function can calculate any one parameter of Poisson distribution given values for the others. |
17 | stats_cdf_t() function The function can calculate any one parameter of t-distribution given values for the others. |
18 | stats_cdf_uniform() function The function can calculate any one parameter of uniform distribution given values for the others. |
19 | stats_cdf_weibull() function The function can calculate any one parameter of Weibull distribution given values for the others. |
20 | stats_covariance() function The function can compute the covariance of two data sets. |
21 | stats_dens_beta() function The function is probability density function of the beta distribution. |
22 | stats_dens_cauchy() function The function is a probability density function of Cauchy distribution. |
23 | stats_dens_chisquare() function The function is a probability density function of the chi-square distribution. |
24 | stats_dens_exponential() function The function is a probability density function of the exponential distribution. |
25 | stats_dens_f() function The function is a probability density function of the F distribution. |
26 | stats_dens_gamma() function The function is a probability density function of the gamma distribution. |
27 | stats_dens_laplace() function The function is a probability density function of the Laplace distribution. |
28 | stats_dens_logistic() function The function is a probability density function of the logistic distribution. |
29 | stats_dens_normal() function The function is a probability density function of the normal distribution. |
30 | stats_dens_pmf_binomial() function The function is a probability mass function of the binomial distribution. |
31 | stats_dens_pmf_hypergeometric() function The function is a probability mass function of the hypergeometric distribution. |
32 | stats_dens_pmf_negative_binomial() function The function is a probability density function of negative binomial distribution. |
33 | stats_dens_pmf_poisson() function The function is a probability mass function of the Poisson distribution. |
34 | stats_dens_t() function The function is a probability density function of the t-distribution. |
35 | stats_dens_uniform() function The function is a probability density function of the uniform distribution. |
36 | stats_dens_weibull() function The function is a probability density function of the Weibull distribution. |
37 | stats_harmonic_mean() function The function can return the harmonic mean of an array of values. |
38 | stats_kurtosis() function The function can compute the kurtosis of the data in an array. |
39 | stats_rand_gen_beta() function The function can generate a random deviate from the beta distribution. |
40 | stats_rand_gen_chisquare() function The function can generate a random deviate from the chi-square distribution. |
41 | stats_rand_gen_exponential() function The function can generate a random deviate from the exponential distribution. |
42 | stats_rand_gen_f() function The function can generate a random deviate from the F distribution. |
43 | stats_rand_gen_funiform() function The function can generate uniform float between low (exclusive) and high (exclusive). |
44 | stats_rand_gen_gamma() function The function can generate a random deviate from the gamma distribution. |
45 | stats_rand_gen_ibinomial() function The function can generate a random deviate from the binomial distribution. |
46 | stats_rand_gen_ibinomial_negative() function The function can generate random deviate from the negative binomial distribution. |
47 | stats_rand_gen_int() function The function can generate a random integer between 1 and 2147483562. |
48 | stats_rand_gen_ipoisson() function The function can generate a single random deviate from a Poisson distribution. |
49 | stats_rand_gen_iuniform() function The function can generate an integer uniformly distributed between LOW (inclusive) and HIGH (inclusive). |
50 | stats_rand_gen_noncentral_chisquare() function The function can generate a random deviate from the non-central chi-square distribution. |
51 | stats_rand_gen_noncentral_f() function The function can generate a random deviate from the non-central F distribution. |
52 | stats_rand_gen_noncentral_t() function The function can generate a single random deviate from a non-central t-distribution. |
53 | stats_rand_gen_normal() function The function can generate a single random deviate from a normal distribution. |
54 | stats_rand_gen_t() function The function can generate a single random deviate from a t-distribution. |
55 | stats_rand_get_seeds() function The function can get the seed values of random number generator. |
56 | stats_rand_phrase_to_seeds() function The function can generate two seeds for the RGN random number generator. |
57 | stats_rand_ranf() function The function can generate a random floating-point number between 0 and 1. |
58 | stats_rand_setall() function The function can set seed values to the random generator. |
59 | stats_skew() function The function can compute the skewness of the data in an array. |
60 | stats_standard_deviation() function The function can return the standard deviation. |
61 | stats_stat_binomial_coef() function The function can return a binomial coefficient. |
62 | stats_stat_correlation() function The function can return the Pearson correlation coefficient of two data sets. |
63 | stats_stat_factorial() function The function can return the factorial of an integer. |
64 | stats_stat_independent_t() function The function can return the t-value from the independent two-sample t-test. |
65 | stats_stat_innerproduct() function The function can return an inner product of two vectors. |
66 | stats_stat_paired_t() function The function can return the t-value of the dependent t-test for paired samples. |
67 | stats_stat_percentile() function The function can return the percentile value. |
68 | stats_stat_powersum() function The function can return the power sum of a vector. |
69 | stats_variance() function The function can return the variance. |
Do feel free to ask your questions where necessary and we will attend to them as soon as possible. If this tutorial was helpful to you, you can use the share button to share this tutorial.
Follow us on our various social media platforms to stay updated with our latest tutorials. You can also subscribe to our newsletter in order to get our tutorials delivered directly to your emails.
Thanks for reading and bye for now.