# plot.seqtest: Plot seqtest In seqtest: Sequential Triangular Test

## Description

This function plots the `seqtest` object

## Usage

 ```1 2``` ```## S3 method for class 'seqtest' plot(x, ...) ```

## Arguments

 `x` `seqtest` object `...` further arguments passed to or from other methods

## Author(s)

Takuya Yanagida takuya.yanagida@univie.ac.at

## References

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.

## See Also

`seqtest.mean`, `seqtest.prop`, `seqtest.cor`, `print.seqtest`, `descript`

## Examples

 ``` 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) ```

seqtest documentation built on May 2, 2019, 5:54 a.m.