This menu allows you to drop a random term from a REML model to assess its significance using a permutation test using the VRPERMTEST procedure.

## Random term to drop from the model

The dropdown list contains the terms in the random part of the REML model. Select the term that is to be checked for significance.

## Display

This controls what output is printed from the analysis:

Summary |
A summary of the test results: first the seed, the number of permutations and percentage of successful permutations, then a table showing the random term tested, test statistic and the corresponding p-value |

Diagnostics |
Any error diagnostics from the REML analyses |

Monitoring |
Monitoring information, showing the progress of the analysis |

## Plot

This controls what plots are displayed from the analysis:

Kernel density plot |
A kernel density plot of the permuted test statistics |

Histogram |
A histogram of the permuted test statistics |

## Number of permutations

This option specifies the number of permutation samples that are performed, default 99 (as well as the “null” permutation where the data keep their original order).

## Number of retries

This option specifies the number of extra permutations that are performed when the REML model does not converge for a permutation, default 99.

## Seed

Specifies the seed for the random number generator used to make the permutations; default 0 continues from the previous generation or (if none) initializes the seed automatically.

## Save

Use these options to save results from the VRPERMTEST analysis. After selecting the **Results** box, you need to type the identifier of a pointer into the In: field. The two variates in the results pointer are the test statistics from the permutations (likelihood ratio test and BLUP).

## Display in spreadsheet

The saved results will be displayed in a new spreadsheet.

## See also

- VRPERMTEST procedure for permutation tests for random terms in REML analysis.
- Linear Mixed Model menu.
- Initial Values for specifying initial gamma.
- Further Output for obtaining additional output after fitting a model.
- Save for saving the results from a REML analysis.
- Save REML results in a spreadsheet.
- Residual Plots for generating plots of residuals.
- Means Plots for generating plots of one- or two-way tables of means.
- REML directive for command mode use of REML, with additional options to

control the algorithm and for more sophisticated analyses. - VCOMPONENTS directive for further information about fixed, random, and spline model terms.
- Linear Mixed Models (REML) – Correlated Errors for setting up covariance models.
- REML Detect Outliers dialog for identifying outliers.
- REML Power calculations dialog for calculating the power of an REML analysis.