ebplots {EBarrays} | R Documentation |
Various plotting routines, used for diagnostic purposes
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)
data |
data, as a "matrix" , "exprSet" or "ExpressionSet" |
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 |
Needs to be written
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.
Christina Kendziorski, Michael Newton and Deepayan Sarkar
data(gould) checkCCV(gould)