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 1.11.0 Index]