Angka yang menghasilkan Python menurut matriks corellation
from scipy.linalg import cholesky, sqrtm
relavant_columns = ['Affecting homelife',
'Affecting mobility',
'Affecting social life/hobbies',
'Affecting work',
'Mood',
'Pain Score',
'Range of motion in Doc']
# df is a pandas dataframe containing the data frame from figure 1
mu = df[relavant_columns].mean().values
cov = df[relavant_columns].cov().values
number_of_sample = 10
# generate using affine transformation
#c2 = cholesky(cov).T
c2 = sqrtm(cov).T
s = np.matmul(c2, np.random.randn(c2.shape[0], number_of_sample)) + mu.reshape(-1, 1)
# transpose so each row is a sample
s = s.T
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