tstmo1.df {dmm} | R Documentation |

##
Dfreml example dataset

### Description

Example dataset from the program 'DFREML', developed by Karin Meyer. Known to 'DFREML' as the 'Example 1' dataset. A univariate dataset with 282 individuals in a 2 generation pedigree with full-sib families.

### Usage

`data(tstmo1.df)`

### Format

A data frame with 282 observations on the following 6 variables.

`Id`

Identifier for individuals

`SId`

Identifier for sires of individuals

`DId`

Identifier for dams of individuals

`Sex`

A factor: Sex of each individual

`Gen`

A numeric vector: generation number of each individual

`Weight`

A numeric vector: weight in ? of each individual

### Details

Karin Meyer gives the following description of these data:

“
.... The test data given is that used by Meyer(1989) to illustrate univariate REML estimation via a derivtive-free algorithm. They are simulated records for a trait with a phenotypic variance of 100, direct heritability of 0.40, maternal heritability of 0.20, maternal-direct covariance (divided by 100) of -0.05, and a "c-squared" effect of 0.15. Data were generated for 2 generations of animals with a heirarchical full-sib family structure, yielding a total of 282 records and 306 animals in the analysis with generations as the only fixed effect.
”

### Source

DFREML Version 3.0 User Notes. Karin Meyer. September 9,1998.

These data were distributed with the DFREML program. Note DFREML is not currently available.

### References

Meyer,K.(1989) Restricted Maximum Likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genet. Select. Evol. 21:317-340

### Examples

```
library(dmm)
data(tstmo1.df)
str(tstmo1.df)
rm(tstmo1.df)
#
# There is a full analysis of this dataset in 'dmmOverview.pdf'.
#
```

[Package

*dmm* version 2.1-8

Index]