spkAnova: Anova Model for Microarray Spike-in Data

In spkTools: Methods for Spike-in Arrays

Description

Computes the mean squared errors of a microarray spike-in design due to concentration, probe, array, and error.

Usage

spkAnova(object, model=expr~spike+probe+array)

Arguments

object	a SpikeInExpressionSet object
model	the anova model

Value

A vector of the mean squared errors from the anova model.

Author(s)

Matthew N. McCall

Examples

data(affy)
spkAnova(affy)

Example output

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, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, 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,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

    spike     probe     array     error 
2.4807565 0.5384853 0.1662872 0.4725905 

spkTools documentation built on Nov. 8, 2020, 6:55 p.m.