var.fd {fda} | R Documentation |

## Variance and Covariance Surfaces for a Functional Data Object

### Description

Compute the variance and covariance functions for functional data. These are two-argument functions, and therefore define a surface. If there is one functional data object supplied, its variance is computed. If there are two, the covariance between the two is computed. Both functional data objects must be univariate.

### Usage

var.fd(fdx, fdy=fdx)

### Arguments

`fdx ` |
A univariate functional data object. |

`fdy ` |
A univariate functional data object. |

### Details

### Value

A two-argument functional data object representing the variance surface for a single functional data object or the covariance between two functional data objects.

### Note

### Author(s)

### References

### See Also

meanFd, std.fd

### Examples

[Package

*fda* version 1.0

Index]