| signtest {nonpar} | R Documentation | 
The Sign Test
Description
A nonpametric test for center. The sign test compares the median to a value.
Usage
signtest(x, m = NULL, alpha = NULL,
alternative =c("two.sided", "greater", "less"), conf.level=NULL, exact = FALSE)
Arguments
| x | A vector of sample data. | 
| m | The median to test. Defaults to 0. | 
| alpha | The Significance level, defaults to 0.05. | 
| alternative | Defaults to two.sided. Used to determine what type of test to run. | 
| conf.level | Defaults to NULL. Used to construct a confidence interval. Input as a decimal. | 
| exact | Defaults to FALSE. Used to determine whether to run the exact procedure or a large sample approximation. | 
Value
| B | The Test Statistic | 
| Significance Level | Returns the alpha value. | 
| P-value | Returns the p-value from the Sign Test. | 
| Confidence Interval | The confidence interval requested. | 
Author(s)
D. Lukke Sweet
References
Higgins, J. J. (2005). An Introduction to modern nonparametric statistics. Belmont: Thomson Brooks/Cole.
Wiley Series in Probability and Statistics: Nonparametric Statistical Methods (3rd Edition). (2013). John Wiley & Sons.
Examples
  ## Run the Sign Test on the vector.
  signtest(c(1.8, 3.3, 5.65, 2.25, 2.5, 3.5, 2.75, 3.25, 3.10, 2.70, 3, 4.75, 3.4), m=3.5)