simulation | R Documentation |
A simulated dataset to explore the association between the correlation parameter of bivariate normally distributed random variables used in the intermediate step of the NORTA method and the correlation parameter of the resulting non-normal random responses generated by the NORTA method for all the threshold approached implemented in this package.
simulation
A data frame with 100 rows and 4 columns:
numeric indicating the true value of the correlation parameter.
numeric indicating the simulated correlation parameter when the marginal distribution of each of the latent variables is normal.
numeric indicating the simulated correlation parameter when the marginal distribution of each of the latent variables is logistic.
numeric indicating the simulated correlation parameter when the marginal distribution of each of the latent variables is Gumbel.
plot(rho - normal ~ rho, data = simulation, type = "l", col = "blue",
ylim = c(0, 0.016),
ylab = expression(rho - bar(rho)[sim]),
xlab = expression(rho))
points(rho - logistic ~ rho, data = simulation, type = "l", col = "red")
points(rho - gumbel ~ rho, data = simulation, type = "l", col = "grey")
legend("topright", legend = c("Normal", "Logistic", "Gumbel"),
col = c("blue", "red", "grey"), pch = "l" )
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