Description Usage Arguments Author(s) References See Also Examples
This function plots the seqtest
object
1 2 |
x |
|
... |
further arguments passed to or from other methods |
Takuya Yanagida takuya.yanagida@univie.ac.at
Rasch, D., Pilz, J., Verdooren, L. R., & Gebhardt, G. (2011). Optimal experimental design with R. Boca Raton: Chapman & Hall/CRC.
Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). Statistics in psychology - Using R and SPSS. New York: John Wiley & Sons.
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.
seqtest.mean
, seqtest.prop
, seqtest.cor
, print.seqtest
, descript
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #--------------------------------------
# Sequential triangular test for the arithmetic mean in one sample
seq.obj <- seqtest.mean(56, mu = 50, theta = 0.5,
alpha = 0.05, beta = 0.2)
plot(seq.obj)
#--------------------------------------
# Sequential triangular test for the proportion in one sample
seq.obj <- seqtest.prop(c(1, 1, 0, 1), pi = 0.5, delta = 0.2,
alpha = 0.05, beta = 0.2)
plot(seq.obj)
#--------------------------------------
# Sequential triangular test for Pearson's correlation coefficient
seq.obj <- seqtest.cor(0.46, k = 14, rho = 0.3, delta = 0.2,
alpha = 0.05, beta = 0.2)
plot(seq.obj)
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