Description Usage Arguments Value Examples

An algorithm that extracts common variation between datasets using regression.

1 2 | ```
cocoreg(data, cyclic = FALSE, mapping_function = mapping_lm,
sample_paths = FALSE, center_data = T, scale_data = F)
``` |

`data` |
[1,K] list of data.frames. |

`cyclic` |
boolean, Operation mode: cyclic or non-cyclic |

`mapping_function` |
function, The function to use in mappings. See mapping_lm() for an example. |

`sample_paths` |
boolean, If FALSE all paths are computed. If TRUE a subset of paths is taken: one (random) path for each starting point. Currently implemented only for cyclic=F. |

`center_data` |
boolean, Should the data be centered? |

`scale_data` |
boolean, Should the data be scaled? |

A list with elements:

`$data:` |
[1,K] list of data.frames containing the joint information, organised identically to the input data. |

`$mappings:` |
[1,K*K-K] list of functions, mappings between datasets |

`$paths:` |
[(K-1)(K-2)!, K] list of lists, paths for each data set |

`$cyclic:` |
input cyclic as is |

`$sample_paths:` |
boolean, TRUE if paths have been sampled, FALSE otherwise. |

`$dataid:` |
string, Dataset identifier string |

`$method:` |
string, Analysis method identifier string |

`$wall_time_taken:` |
[1,1] double, Time taken to run the analysis in seconds |

1 2 3 4 5 6 7 8 9 10 11 12 | ```
dc <- create_syn_data_toy()
ccr <- cocoreg(dc$data)
ggplot_dflst(dc$data, ncol=1)
ggplot_dflst(ccr$data, ncol=1)
## Not run:
ggplot_dclst(list(orig = dc$data, ccr = ccr$data))
ggplot_dclst(list(orig = dc$data, shared = ccr$data), legendMode = 'none')
ggplot_dclst(list(orig = dc$data, ccr = ccr$data), legendMode = 'all')
## End(Not run)
``` |

bwrc/cocoreg-r documentation built on May 13, 2019, 9:09 a.m.

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