Trait nalgebra::Mean

pub trait Mean<N> {
    fn mean(&self) -> N;
}

Trait for computing the mean of a set of data.

Required Methods

fn mean(&self) -> N

Computes the mean of the observations stored by v.

• For matrices, observations are stored in its rows.
• For vectors, observations are stored in its components (thus are 1-dimensional).

Implementors

• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector<N>> for DMatrix<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector1<N>> for DMatrix1<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector2<N>> for DMatrix2<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector3<N>> for DMatrix3<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector4<N>> for DMatrix4<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector5<N>> for DMatrix5<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<DVector6<N>> for DMatrix6<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector1<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector2<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector3<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector4<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector5<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for DVector6<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector1<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector2<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector3<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector4<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector5<N>
• impl<N: BaseFloat + Cast<f64>> Mean<N> for Vector6<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector1<N>> for Matrix1<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector2<N>> for Matrix2<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector3<N>> for Matrix3<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector4<N>> for Matrix4<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector5<N>> for Matrix5<N>
• impl<N: BaseNum + Cast<f64> + Clone> Mean<Vector6<N>> for Matrix6<N>