Description Usage Arguments Details Value Author(s) References See Also Examples

Correlations between pairs of variables.

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`x` |
A matrix with real valued data. |

`y` |
A matrix with real valued data whose dimensions match those of x. |

`rho` |
This can be a vector of assumed correlations (equal to the number of variables or the columns of x or y) to be tested. If this is not the case, leave it NULL and only the correlations will be returned. |

`logged` |
Should the p-values be returned (FALSE) or their logarithm (TRUE)? This is taken into account only if "rho" is a vector. |

`parallel` |
Should parallel implentations take place in C++? The default value is FALSE. |

The paired correlations are calculated. For each column of the matrices x and y the correlation between them is calculated.

A vector of correlations in the case of "rho" being NULL, or a matrix with two extra columns, the test statistic and the (logged) p-value.

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

Lambert Diane (1992). Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing. Technometrics. 34(1):1-14.

Johnson Norman L., Kotz Samuel and Kemp Adrienne W. (1992). Univariate Discrete Distributions (2nd ed.). Wiley

Cohen, A. Clifford (1960). Estimating parameters in a conditional Poisson distribution. Biometrics. 16:203-211.

Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). Univariate Discrete Distributions (third edition). Hoboken, NJ: Wiley-Interscience.

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