Description Usage Arguments Details Value Author(s) References Examples

Resigns factors from a `multiway`

object.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
## S3 method for class 'cpd'
resign(x, mode = 1, newsign = 1, absorb = 3, ...)
## S3 method for class 'indscal'
resign(x, mode = "B", newsign = 1, ...)
## S3 method for class 'mcr'
resign(x, mode = "A", newsign = 1, absorb = "C", ...)
## S3 method for class 'parafac'
resign(x, mode = "A", newsign = 1, absorb = "C", ...)
## S3 method for class 'parafac2'
resign(x, mode = "A", newsign = 1, absorb = "C", method = "pearson", ...)
## S3 method for class 'sca'
resign(x, mode = "B", newsign = 1, ...)
## S3 method for class 'tucker'
resign(x, mode = "A",newsign = 1, ...)
``` |

`x` |
Object of class "cpd" (output from |

`mode` |
Character indicating which mode to resign. For "cpd" objects, should be an integer between 1 and N. |

`newsign` |
Desired resigning for each column of specified mode. Can input a scalar or a vector with length equal to the number of factors for the given mode. If |

`absorb` |
Character indicating which mode should absorb the inverse of the rescalings applied to |

`method` |
Correlation method to use if |

`...` |
Ignored. |

If `x`

is of class "parafac2" and `mode="A"`

, the input `newsign`

can be a list where each element contains a covariate vector for resigning Mode A. You need `length(newsign[[k]]) = nrow(x$A[[k]])`

for all `k`

when `newsign`

is a list. In this case, the resigning is implemented according to the sign of `cor(newsign[[k]], x$A[[k]][,1], method)`

. See Helwig (2013) for details.

See `cpd`

, `indscal`

, `mcr`

, `parafac`

, `parafac2`

, `sca`

, and `tucker`

for more details.

Same as input.

Nathaniel E. Helwig <[email protected]>

Helwig, N. E. (2013). The special sign indeterminacy of the direct-fitting Parafac2 model: Some implications, cautions, and recommendations, for Simultaneous Component Analysis. *Psychometrika, 78*, 725-739.

1 2 3 4 5 6 7 8 | ```
# See examples for...
# cpd (Canonical Polyadic Decomposition)
# indscal (INividual Differences SCALing)
# mcr (Multiway Covariates Regression)
# parafac (Parallel Factor Analysis-1)
# parafac2 (Parallel Factor Analysis-2)
# sca (Simultaneous Component Analysis)
# tucker (Tucker Factor Analysis)
``` |

```
Loading required package: CMLS
Loading required package: quadprog
Loading required package: parallel
```

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