A 3D array of size (number of strata) x (number of
columns of the data matrix) x 2. It contains the fitted
normalization parameters (see vignette).
strata:
A factor of length 0 or n. If its length is
n, then its levels correspond to different normalization strata
(see vignette).
mu:
A numeric vector of length n with the fitted
parameters hat{μ}_k, for k=1,...,n.
sigsq:
A numeric scalar, hat{σ}^2.
hx:
A numeric matrix with 0 or n rows. If the number of
rows is n, then hx contains the transformed data matrix.
lbfgsb:
An integer scalar containing the return code
from the L-BFGS-B optimizer.
hoffset:
Numeric scalar, the overall offset c- see
manual page of vsn2.
calib:
Character of length 1, see manual page of
vsn2.
Methods
[
Subset
dim
Get dimensions of data matrix.
nrow
Get number of rows of data matrix.
ncol
Get number of columns of data matrix.
show
Print a summary of the object
exprs
Accessor to slot hx.
coef, coefficients
Accessors to slot
coefficients.
Author(s)
Wolfgang Huber
See Also
vsn2
Examples
data("kidney")
v = vsn2(kidney)
show(v)
dim(v)
v[1:10, ]
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(vsn)
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/vsn/class.vsn.Rd_%03d_medium.png", width=480, height=480)
> ### Name: vsn
> ### Title: Class to contain result of a vsn fit
> ### Aliases: class:vsn vsn-class [,vsn-method dim,vsn-method
> ### nrow,vsn-method ncol,vsn-method show,vsn-method exprs,vsn-method
> ### coef,vsn-method coefficients,vsn-method
> ### Keywords: classes
>
> ### ** Examples
>
> data("kidney")
> v = vsn2(kidney)
> show(v)
vsn object for n=8704 features and d=2 samples.
sigsq=0.005
hx: 8704 x 2 matrix.
> dim(v)
[1] 8704 2
> v[1:10, ]
vsn object for n=10 features and d=2 samples.
sigsq=0.005
hx: 10 x 2 matrix.
>
>
>
>
>
> dev.off()
null device
1
>