print.summary.pdMat {nlme} | R Documentation |

## Print a summary.pdMat Object

### Description

The standard deviations and correlations associated with the
positive-definite matrix represented by `object`

(considered as a
variance-covariance matrix) are printed, together with the formula and
the grouping level associated `object`

, if any are present.

### Usage

## S3 method for class 'summary.pdMat':
print(x, sigma, rdig, Level, resid, ...)

### Arguments

`x` |
an object inheriting from class `summary.pdMat` ,
generally resulting from applying `summary` to an object
inheriting from class `pdMat` . |

`sigma` |
an optional numeric value used as a multiplier for
the square-root factor of the positive-definite matrix represented by
`object` (usually the estimated within-group standard deviation
from a mixed-effects model). Defaults to 1. |

`rdig` |
an optional integer value with the number of significant
digits to be used in printing correlations. Defaults to 3. |

`Level` |
an optional character string with a description of the
grouping level associated with `object` (generally corresponding
to levels of grouping in a mixed-effects model). Defaults to NULL. |

`resid` |
an optional logical value. If `TRUE` an extra row
with the `"residual"` standard deviation given in `sigma`
will be included in the output. Defaults to `FALSE` . |

`...` |
optional arguments passed to `print.default` ; see
the documentation on that method function. |

### Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

### See Also

`summary.pdMat`

,`pdMat`

### Examples

pd1 <- pdCompSymm(3 * diag(2) + 1, form = ~age + age^2,
data = Orthodont)
print(summary(pd1), sigma = 1.2, resid = TRUE)

[Package

*nlme* version 3.1-66

Index]