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

Constructor for flowFP-class.

1 | ```
flowFP(fcs, model = NULL, sampleClasses = NULL, ...)
``` |

`fcs` |
A flowFrame or flowSet for which fingerprint(s) are desired. |

`model` |
A model generated with the flowFPModel constructor, or |

`sampleClasses` |
An optional character vector describing modeling classes. If
supplied, there must be exactly one element for each |

`...` |
If model is |

A flowFP object is a reduced representation of a
flowFrame or flowSet
with respect to a flowFPModel. The model is derived by finding multivariate regions containing
(nearly) equal numbers of events in a training set using one or more user-specified
parameters (*e.g.* CD45 and Side Scatter). The resulting *flowFP* represents
the probability (i.e. number of events) of the instance(s) in *x* in each of the bins
in the underlying model.

This representation is carried in a slot (called *counts*)
in the object, a matrix in which each row corresponds ordinally to the *flowFrames*
in *x*. Note that if *x* is a *flowFrame* and not a *flowSet*, the counts
matrix will have only 1 row. In any case, each row of the matrix is an individual fingerprint,
where the fingerprint elements (columns) have a one-to-one correspondence with the bins
in the underlying *model*.

Another slot in the *flowFP* object describes the bin index for each
event, allowing the user to select events according to their membership in bins. Think of this
as "micro-gating".

An instance of an object of type *flowFP*.

Herb Holyst <holyst@mail.med.upenn.edu>, Wade Rogers <rogersw@mail.med.upenn.edu>

M. Roederer, et. al. (2001) Probability Binning Comparison: A Metric for Quantitating
Multivariate Distribution Differences, *Cytometry* **45**, 47-55.

W. Rogers et. al. (2008) Cytometric Fingerprinting: Quantitative Characterization of
Multivariate Distributions, *Cytometry Part A* **73**, 430-441.

flowFP-class, flowFP, flowFPModel-class, flowFPModel

1 2 3 4 5 6 7 8 9 | ```
# load a flowSet to use as an example.
# fs <- read.flowSet(your fcs files...)
data(fs1)
model <- flowFPModel(fs1, parameters=c(4,5), nRecursions=6)
fp <- flowFP(fs1, model)
plot(fp)
``` |

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