test_rng.py File Reference

Go to the source code of this file.

Namespaces
namespace	test_rng

Functions
	test_rng.generate_correlated (R, n_samples, rng)
	test_rng.summarize_case (name, R, n_samples=50000)
	test_rng.equicorrelation (n, rho)

Variables
	test_rng.rng = np.random.default_rng(42)
list	test_rng.cases
list	test_rng.all_summaries = []
dict	test_rng.results = {}
	test_rng.y = data["y"]
	test_rng.L
	test_rng.sample_corr = data["sample_corr"]
	test_rng.err
	test_rng.means
	test_rng.stds
	test_rng.summary
	test_rng.name
	test_rng.R = data["R"]
	test_rng.n_samples
	test_rng.summary_df = pd.DataFrame(all_summaries).set_index("case")
	test_rng.df_corr = pd.DataFrame(results[name]["sample_corr"])
	test_rng.df_err = pd.DataFrame(results[name]["err"])
	test_rng.vmin
	test_rng.vmax
	test_rng.subset = y[:5000, :]
	test_rng.s
	test_rng.vals = y[:, 0]
	test_rng.bins
	test_rng.density
	test_rng.xs = np.linspace(vals.min(), vals.max(), 400)
tuple	test_rng.pdf = (1.0 / sqrt(2 * pi)) * np.exp(-0.5 * xs * xs)