Description Usage Arguments Details Value See Also

Computes a positive semi-definite symmetric genomic relation matrix G=XX'
offering options for centering and scaling the columns of `X`

beforehand.

1 2 3 4 5 |

`X` |
A matrix-like object, typically the genotypes of a |

`center` |
Either a logical value or a numeric vector of length equal to the
number of columns of |

`scale` |
Either a logical value or a numeric vector of length equal to the
number of columns of |

`scaleG` |
TRUE/FALSE whether xx' must be scaled. |

`minVar` |
Columns with variance lower than this value will not be used in the
computation (only if |

`blockSize` |
The number of rows and columns of each block. If |

`folderOut` |
The path to the folder where to save the |

`vmode` |
vmode of |

`i` |
Indicates which rows of |

`j` |
Indicates which columns of |

`chunkSize` |
The number of columns of |

`nCores` |
The number of cores (passed to |

`verbose` |
Whether progress updates will be posted. Defaults to |

Even very large genomic relationship matrices are supported by partitioning
`X`

into blocks and calling `getG`

on these blocks. This function
performs the block computations sequentially, which may be slow. In an HPC
environment, performance can be improved by manually distributing these
operations to different nodes.

A `symDMatrix`

object.

`multi-level-parallelism`

for more information on multi-level
parallelism. `symDMatrix-class`

and
`BGData-class`

for more information on the `BGData`

class.
`getG`

to learn more about the underlying method.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.