Learn R Programming

LVSmiRNA (version 1.22.0)

plot-method: Plot of Residual Variance and Array Effect

Description

Plots results from estVC

Usage

"plot"(x,Atransf=c("both","sqrt","log"), abline=c("none","rq"),df=3,proportion=.7, col="black",col.rq="red")

Arguments

x
An object of class RA resulting from estVC.
Atransf
Transformation to apply at Array Effect
abline
Add a line to the plot representing a quantile fit
df
Degrees of freedom of the quantile regression
proportion
Quantile to fit
col
Color for plotting points
col.rq
Color for plotting quantile line

References

Calza et al., 'Normalization of oligonucleotide arrays based on the least variant set of genes', (2008, BMCBioinformatics); Pawitan, Y. 'In All Likelihood: Statistical Modeling and Inference Using Likelihood', (2001, Oxford University Press); Huber, P. J., 'Robust estimation of a location parameter', (1964, Annuas of Mathematical Statistics).

See Also

estVC,rq

Examples

Run this code
## Not run: 
# 
# # Starting from an EList object called MIR
# data("MIR-spike-in")
# AA <- estVC(MIR,method="joint")
# plot(AA)
#  ## End(Not run)

Run the code above in your browser using DataLab