plot-method {LVSmiRNA} | R Documentation |
Plots results from estVC
## S4 method for signature 'RA,ANY' plot(x,Atransf=c("both","sqrt","log"), abline=c("none","rq"),df=3,proportion=.7, col="black",col.rq="red")
x |
An object of class |
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 |
Stefano Calza <stefano.calza@biostatistics.it>, Suo Chen and Yudi Pawitan.
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).
## Not run: # Starting from an EList object called MIR data("MIR-spike-in") AA <- estVC(MIR,method="joint") plot(AA) ## End(Not run)