Question : function for permutation sampling
Answered by : joshua-salako
def permutation_sample(data1, data2): """Generate a permutation sample from two data sets.""" # Concatenate the data sets: data data = np.concatenate((data1, data2)) # Permute the concatenated array: permuted_data permuted_data = np.random.permutation(data) # Split the permuted array into two: perm_sample_1, perm_sample_2 perm_sample_1 = permuted_data[:len(data1)] perm_sample_2 = permuted_data[len(data1):] return perm_sample_1, perm_sample_2Source : https://campus.datacamp.com/courses/statistical-thinking-in-python-part-2/introduction-to-hypothesis-testing?ex=2 | Last Update : Sat, 11 Jun 22
Question : function for permutation sampling and test statistic from a specified operation
Answered by : joshua-salako
def draw_perm_reps(data_1, data_2, func, size=1): """Generate multiple permutation replicates.""" # Initialize array of replicates: perm_replicates perm_replicates = np.empty(size) for i in range(size): # Generate permutation sample perm_sample_1, perm_sample_2 = permutation_sample(data_1, data_2) # Compute the test statistic perm_replicates[i] = func(perm_sample_1, perm_sample_2) return perm_replicatesSource : https://campus.datacamp.com/courses/statistical-thinking-in-python-part-2/introduction-to-hypothesis-testing?ex=7 | Last Update : Sat, 11 Jun 22