symmetry.test {lawstat} | R Documentation |
This function performs the test for symmetry about an unknown median. Users can choose to perform the Mira test (see Mira(1999)), the Cabilio-Masaro test (see Cabilio and Masaro(1996)), or the MGG test (see Miao, Gel and Gastwirth (2006)). The MGG option is set by default. NAs from the data are omitted.
symmetry.test(x, option = c("mgg.test", "cabilio.masaro.test", "mira.test"))
x |
the input data to be tested for symmetry. |
option |
give the choice to test statistics. |
A list with the following numeric components.
p.value |
the p-value for the test. |
statisitc |
observed test statistic. |
data.name |
a character string giving the name of the data. |
Wallace Hui, Yulia R. Gel, Joseph L. Gastwirth, Weiwen Miao
Cabilio, P. and Masaro, J. (1996) A simple test of symmetry about
an unknown median. The Canadian Journal of Statistics, 24,
349-361.
Miao, W., Gel, Y. R., and Gastwirth, J. L. (2006) A New Test
of Symmetry about an Unknown Median. Random Walk, Sequential
Analysis and Related Topics - A Festschrift in Honor of Yuan-Shih
Chow. Eds.: Agnes Hsiung, Cun-Hui Zhang, and Zhiliang Ying, World
Scientific Publisher, Singapore.
Mira, A. (1999) Distribution-free test for symmetry based on Bonferroni's measure. Journal of Applied Statistics, 26, 959-972.
data(zuni) symmetry.test(zuni[,"Revenue"]) ## Test of Symmetry - MGG Test ## ## data: zuni[, "Revenue"] ## Test Statistic = 5.0321, p-value = 4.851e-07