ConsensusFit-class: Row-linear fit from multiple platforms/conditions - class

In timpeters82/consensus: Cross-platform consensus analysis of genomic measurements via interlaboratory testing method

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 <[e-mail]>

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.

timpeters82/consensus documentation built on May 23, 2020, 12:45 a.m.