Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/methods.sigfit.R

This function calculates predictions from the `sigfit`

models in the scale
of results. Major difference between this function and predict method for `nls`

models
is that `predict.nls`

would make predictions in the scale of MFI.

1 2 |

`object` |
An object of class |

`newdata` |
Data for which to make predictions. If omitted (default), the predictions
will be made for the standards that were used to fit the model. Otherwise, |

`e.fit` |
Logical. If |

`...` |
Currenly ignored. |

This function uses the inverse-sigmoid formula to make predictions from `nls`

model
in the scale of the result, instead of scale of "MFI".

If provided with an object of class `ima`

as an argument to `newdata`

parameter, this function returns an object of the same type, but with the column of
predictions added. Otherwise, it returns a numeric vector of predictions (for
`e.fit=FALSE`

) or a matrix of predictions and % error values (for ```
e.fit=TRUE
```

).

Michal J. Figurski, PhD mfigrs@gmail.com

1 2 3 4 5 6 | ```
## Not run:
run = read.multiplex("your-path-here")
fit = sigfit(run)
predict(run)
## End(Not run)
``` |

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