plot.parameter: Plot penalization parameters

In lgl15/cnmtf: Prioritisation of single nucleotide variants using Corrected non-negative matrix tri-factorisation

Description

Function to plot changes in parameter versus a tracking variable

Usage

## S3 method for class 'parameter'
plot(x, y, y.max, y.name, x.name, fitmodel = FALSE, ww,
  print.file = NULL, range.fit = NULL, log.file = NULL,
  logarithm.x = FALSE)

Arguments

x	Vector of parameter values
y	Tracking variable
y.max	Maximum value of the tracking variable
y.name	Name of tracking variable
x.name	Name of the parameter
fitmodel	Fit a linear model or a cubic spline on the data
ww	Information weigth to find optimal point between y.min and y.max
print.file	Print plots to file
range.fit	Range of values of x to fit the model
log.file	Log.file to print results
logarithm.x	Plot x axis in logarithmic scale

Value

opt.param.i Vector of optimal parameters if fitmodel == TRUE, otherwise the function returns only a plot of both variables

Author(s)

Luis G. Leal, [e-mail]

See Also

Other Factorisation functions: clus.membership, cnmtf, consensus.clust, hierarchical.clust, initialise.UV, neg.constrain, parameters.cnmtf, pos.constrain, psvd.init, regression.snps, score.cnmtf, synthetic.gwas

lgl15/cnmtf documentation built on May 28, 2019, 6:33 p.m.