Many Jarque-Bera normality tests | R Documentation |
Many Jarque-Bera normality tests.
jbtests(x)
jbtest(x)
x |
A matrix with the data, where the rows denote the observations and the columns are the variables. In the case of a single sample, then this must be a vector and "jbtest" is to be used. |
The Jarque-Bera univariate normality test is performed for each column (variable) of the matrix x.
A matrix with two columns, or a vector with two elements. Either way, the test statistic value and its associated p-value.
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>.
Yazici B. and Yolacan S. (2007). A comparison of various tests of normality. Journal of Statistical Computation and Simulation, 77(2): 175–183.
normal.etest
x <- matrix( rnorm(100 * 20), ncol = 20 )
a <- jbtests(x)
x <- rnorm(100)
jbtest(x)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.