descript {seqtest} | R Documentation |
Print descriptive statistics
Description
This function prints descriptive statistics for the seqtest
object
Usage
descript(x, digits = 2, output = TRUE)
Arguments
x |
|
digits |
integer indicating the number of decimal places to be displayed. |
output |
logical: if |
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 < \rho \le \rho
0.
Statistical Papers, 56, 689-699.
See Also
seqtest.mean
, seqtest.prop
, seqtest.cor
, plot.seqtest
, descript
Examples
#--------------------------------------
# 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)
seq.obj <- update(seq.obj, x = c(54, 52, 46, 49))
descript(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)
seq.obj <- update(seq.obj, x = c(1, 1, 1, 1, 1, 0, 1, 1, 1))
descript(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 = TRUE)
seq.obj <- update(seq.obj, c(0.56, 0.76, 0.56, 0.52))
descript(seq.obj)
[Package seqtest version 0.1-0 Index]