The possible weights to be considered is a sequence from 0 (favour
auxiliary data) to 1 (favour primary data). Each possible
combination of weights for nclass classes must be
tested. The thetas function produces a weight matrix
for nclass columns (one for each class) with all possible
weight combinations (number of rows).
Usage
thetas(nclass, by = 0.5, length.out, verbose = TRUE)
Arguments
nclass
Number of marker classes
by
The increment of the weights. One of 1,
0.5, 0.25, 2, 0.1 or 0.05.
length.out
The desired length of the weight sequence.
verbose
A logical indicating if the weight sequences
should be printed out. Default is TRUE.
Value
A matrix with all possible theta weight combinations.
Author(s)
Lisa Breckels
Examples
dim(thetas(4, by = 0.5))
dim(thetas(4, by = 0.2))
dim(thetas(5, by = 0.2))
dim(thetas(5, length.out = 5))
dim(thetas(6, by = 0.2))
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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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
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(pRoloc)
Loading required package: MSnbase
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
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: mzR
Loading required package: Rcpp
Loading required package: BiocParallel
Loading required package: ProtGenerics
This is MSnbase version 1.20.7
Read '?MSnbase' and references therein for information
about the package and how to get started.
Attaching package: 'MSnbase'
The following object is masked from 'package:stats':
smooth
The following object is masked from 'package:base':
trimws
Loading required package: MLInterfaces
Loading required package: annotate
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: XML
Loading required package: cluster
This is pRoloc version 1.12.4
Read '?pRoloc' and references therein for information
about the package and how to get started.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/pRoloc/thetas.Rd_%03d_medium.png", width=480, height=480)
> ### Name: thetas
> ### Title: Draw matrix of thetas to test
> ### Aliases: thetas
>
> ### ** Examples
>
> dim(thetas(4, by = 0.5))
Weigths:
(0, 0.5, 1)
[1] 81 4
> dim(thetas(4, by = 0.2))
Weigths:
(0, 0.2, 0.4, 0.6, 0.8, 1)
[1] 1296 4
> dim(thetas(5, by = 0.2))
Weigths:
(0, 0.2, 0.4, 0.6, 0.8, 1)
[1] 7776 5
> dim(thetas(5, length.out = 5))
Weigths:
(0, 0.25, 0.5, 0.75, 1)
[1] 3125 5
> dim(thetas(6, by = 0.2))
Weigths:
(0, 0.2, 0.4, 0.6, 0.8, 1)
[1] 46656 6
>
>
>
>
>
> dev.off()
null device
1
>