sandbox.stats.runs.runstest_1samp()

statsmodels.sandbox.stats.runs.runstest_1samp

statsmodels.sandbox.stats.runs.runstest_1samp(x, cutoff='mean', correction=True) [source]

use runs test on binary discretized data above/below cutoff

Parameters:	x : array_like data, numeric cutoff : {?mean?, ?median?} or number This specifies the cutoff to split the data into large and small values. correction: bool : Following the SAS manual, for samplesize below 50, the test statistic is corrected by 0.5. This can be turned off with correction=False, and was included to match R, tseries, which does not use any correction.
Returns:	z_stat : float test statistic, asymptotically normally distributed p-value : float p-value, reject the null hypothesis if it is below an type 1 error level, alpha .