ebplots {EBarrays}R Documentation

Various plotting routines in the EBarrays package

Description

Various plotting routines, used for diagnostic purposes

Usage

checkCCV(data, useRank = FALSE, f = 1/2)
plotMarginal(fit, data, kernel = "rect", n = 100,
             bw = "nrd0", adjust = 1, ...)
checkModel(data, model = c("gamma", "lognormal"),
           number = 9, nb = 10)
checkConvergence(..., dropfirst = FALSE)

Arguments

data data, as a ``matrix'' or ``exprSet''
useRank logical. If TRUE, ranks of means and c.v.-s are used in the scatterplot
f
fit object of class ``ebarraysEmFit'', typically produced by a call to emfit
kernel, n, bw, adjust passed on to density
model which theoretical model use for Q-Q plot. Partial string matching is allowed
number number of subsets or bins (panels in the Trellis display) for which Q-Q plot is drawn
nb number of observations per bin (panel)
... In the case of checkConvergence, matrices or vectors (treated as column vectors) with same number of rows. These are combined into a single matrix, then each column is scaled between 0 and 1 and plotted simultaneously.
For plotMarginal, extra arguments are passed to the xyplot call used to produce the final result.
dropfirst logical. If TRUE, first row will be dropped

Details

Needs to be written

Value

plotMarginal and checkModel return an object of class ``trellis'', using function in the Lattice package. Note that in certain situations, these may need to be explicitly `print'-ed to have any effect.

Author(s)

Christina Kendziorski, Michael Newton and Deepayan Sarkar

See Also

emfit, lowess

Examples

data(gould)
checkCCV(gould)


[Package EBarrays version 1.0.19 Index]