ConsensusFit-class {consensus} | R Documentation

## Row-linear fit from multiple platforms/conditions - class

### Description

An S4 class that stores parameter value output from `fitConsensus`.

### Slots

This class has eight slots, each containing parameters from the row-linear fit:

`a_i`:

  Platform-wise average (intercepts).

`b_i`:

  Platform-wise sensitivity (slopes).

`d_i`:

  Platform-wise precision (residual mean squares). Note that higher values correspond to lower precision.

`V_a`:

  Variance of `a_i`. High values indicate high discordance in dynamic range.

`V_b`:

  Variance of `b_i`. High values indicate high discordance in sensitivity.

`V_d`:

  Averaged precision across platforms.

`z0`:

  Point of approximate concurrence for all regression lines. Only applicable when `a_i` and `b_i` are highly correlated. See Equations 13.16 and 13.39 of Mandel (2012).

`Vdelta`:

  Residual variance about the line when `b_i` is regressed against `a_i`. Lower values indicate a higher degree of concurrence, assuming that `a_i` and `b_i` are highly correlated. See Equation 13.36 of Mandel (2012).

### Methods

`ConsensusFit` objects have a `show` method that describes the dimensions of the data, in the form: `"ConsensusFit object with i platforms/conditions and k measured loci"`.

### Author(s)

Tim Peters <t.peters@garvan.org.au>

### References

Mandel, J. (2012). The statistical analysis of experimental data. Courier Corporation. Chapter 13: The Systematic Evaluation of Measuring Processes.

### See Also

`fitConsensus`: outputs `ConsensusFit` objects.

[Package consensus version 1.10.0 Index]