statsmodels.stats.nonparametric.SamplesizeRankCompareResult

class statsmodels.stats.nonparametric.SamplesizeRankCompareResult(nobs_total, nobs_treat, nobs_ref, relative_effect, power, alpha)

Result of samplesize_rank_compare_onetail.

Parameters:

nobs_totalfloat

The total sample size required for the experiment.

nobs_treatfloat

Sample size for the treatment group.

nobs_reffloat

Sample size for the reference group.

relative_effectfloat

The estimated relative effect size.

powerfloat

The desired power for the test.

alphafloat

The type I error rate for the test.

Methods

count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Methods

count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Properties

alpha	Alias for field number 5
nobs_ref	Alias for field number 2
nobs_total	Alias for field number 0
nobs_treat	Alias for field number 1
power	Alias for field number 4
relative_effect	Alias for field number 3