View source: R/statistical_tests.R
test_houde | R Documentation |
This function performs Damian Houde's confidence intervals test
for differences in deuteration levels. Its input and output are compatible
with the function calculate_hdx_power
.
test_houde(data, significance_level = 0.05)
data |
data.table with deuteration curves |
significance_level |
significance level for tests |
This function returns a data table compatible with the function
calculate_hdx_power
.
Houde, Damian, Steven A Berkowitz, and John R Engen (2011). “The utility of hydrogen/deuterium exchange mass spectrometry in biopharmaceutical comparabilitystudies”. In:Journal of pharmaceutical sciences100.6, pp. 2071–2086.
Other tests:
- test_hdx_analyzer
- test_memhdx_model
-test_semiparametric
Or calculate_hdx_power
for estimation of power
of tests for differences in deuteration levels.
theo_spectra_pf_100 <- simulate_theoretical_spectra(sequence = "LVRKDLQN", charge = c(3, 5), protection_factor = 100, times = c(0.167, 5), pH = 7.5, temperature = 15, n_molecules = 500, time_step_const = 1, use_markov = TRUE) theo_spectra_pf_200 <- simulate_theoretical_spectra(sequence = "LVRKDLQN", charge = c(3, 5), protection_factor = 200, times = c(0.167, 5), pH = 7.5, temperature = 15, n_molecules = 500, time_step_const = 1, use_markov = TRUE) theo_spectra_two_states <- rbind(theo_spectra_pf_100, theo_spectra_pf_200) deut_curves_p_states <- get_noisy_deuteration_curves(theo_spectra_two_states, n_replicates = 4, n_experiments = 1, reference = 100)[[1]][[1]] test_houde(deut_curves_p_states)
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