Description Usage Arguments Author(s) References See Also Examples
This function prints the sim.seqtest.cor
object
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further arguments passed to or from other methods. |
Takuya Yanagida takuya.yanagida@univie.ac.at
Schneider, B., Rasch, D., Kubinger, K. D., & Yanagida, T. (2015). A Sequential triangular test of a correlation coefficient's null-hypothesis: 0 < ρ ≤ ρ0. Statistical Papers, 56, 689-699.
sim.seqtest.cor
, plot.sim.seqtest.cor
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## Not run:
#---------------------------------------------
# Determine optimal k and nominal type-II-risk
# H0: rho <= 0.3, H1: rho > 0.3
# alpha = 0.01, beta = 0.05, delta = 0.25
# Step 1: Determine the optimal size of subsamples (k)
sim.obj <- sim.seqtest.cor(rho.sim = 0.3, k = seq(4, 16, by = 1), rho = 0.3,
alternative = "greater",
delta = 0.25, alpha = 0.05, beta = 0.05,
runs = 10000, output = FALSE)
print(sim.obj)
# Step 2: Determine the optimal nominal type-II-risk based on
# the optimal size of subsamples (k) from step 1
sim.obj <- sim.seqtest.cor(rho.sim = 0.55, k = 16, rho = 0.3,
alternative = "greater",
delta = 0.25, alpha = 0.05, beta = seq(0.05, 0.15, by = 0.01),
runs = 10000, output = FALSE)
print(sim.obj)
## End(Not run)
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