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)
```

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