mrl: Mean Resultant Length

In isocir: Isotonic Inference for Circular Data

Mean Resultant Length

Description

This function calculates the mean resultant length as defined in Mardia et al. (2000).

Usage

mrl(data)

Arguments

data	matrix with the data

Details

It is supposed that we have n replications for each population.

\overline{R}=\frac{1}{n}\sqrt{S^{2}+C^{2}}

where\hspace{0.5cm} S=\sum_{k=1}^{n}\sin{\theta_k}\hspace{0.5cm} and \hspace{0.5cm} C=\sum_{k=1}^{n}\cos{\theta_k}

The argument data could be a matrix with n columns and q rows, q is the number of populations. data could also be a vector. For both cases the function rho.circular from the package circular is used in the calculations.

Missing values in the replications are allowed.

Value

mrl	numeric vector of dimension q with the mean resultant lengths. The i element is the mean resultant lenght of the i population which is in the row i of the matrix data.

Author(s)

Author(s): Sandra Barragán. Maintainer: <[e-mail]>

References

Mardia, K. and Jupp, P. (2000). Directional Statistics, Chichester: Wiley.

Rueda, C., Fernandez, M. A. and Peddada, S. D. (2009). Estimation of parameters subject to order restrictions on a circle with application to estimation of phase angles of cell-cycle genes. Journal of the American Statistical Association, 104, n485; pp 338–347. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2742472/

Fernandez, M. A., Rueda, C. and Peddada, S. D. (2012). Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species, Nucl. Acids Res. 40, n7: pp 2823–2832. doi:10.1093/nar/gkr1077. https://academic.oup.com/nar/article/40/7/2823/1183140

See Also

CIRE, sce, cond.test.

Examples

data(datareplic)
mrl(datareplic)

isocir documentation built on Aug. 17, 2023, 9:07 a.m.