transposon: transposon

In dGAselID: Genetic Algorithm with Incomplete Dominance for Feature Selection

Description

Operator for transposons.

Usage

transposon(individuals, chrConf, mutationChance)

Arguments

individuals	dataset returned by Individuals().
chrConf	Configuration of chromosomes returned by splitChromosomes().
mutationChance	Chance for a transposon mutation to occur.

Examples

## Not run: 
library(ALL)
data(ALL)

demoALL<-ALL[1:12,1:8]

set.seed(1234)
population<-InitialPopulation(demoALL, 4, 9)
individuals<-Individuals(population)

chrConf<-splitChromosomes(demoALL, 2)
chrConf
individuals

set.seed(123)
transposon(individuals, chrConf, 20)
 
## End(Not run)

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’:

    anyDuplicated, append, as.data.frame, basename, cbind, colnames,
    dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,
    grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
    rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, 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")'.

Loading required package: MLInterfaces
Loading required package: Rcpp
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 object is masked from ‘package:base’:

    expand.grid

Loading required package: XML
Loading required package: cluster

Generating the initial population...
Generating random chromosomes...

No rest...
	Generating Individuals...
 [1] 1 1 1 1 1 1 2 2 2 2 2 2
  Id 1000_at 1001_at 1002_f_at 1003_s_at 1004_at 1005_at 1006_at 1007_s_at
1  1       0       1         0         1       0       1       1         1
2  1       0       0         1         1       1       1       1         1
3  2       1       0         1         1       1       1       1         1
4  2       1       0         1         1       1       1       1         0
  1008_f_at 1009_at 100_g_at 1010_at
1         1       1        1       1
2         1       1        1       0
3         0       0        1       1
4         1       1        0       1
	Applying 1 Transposons mutations...
  Id 1000_at 1001_at 1002_f_at 1003_s_at 1004_at 1005_at 1006_at 1007_s_at
1  1       0       1         0         1       0       1       1         1
2  1       0       0         1         1       1       1       1         1
3  2       1       0         1         1       1       1       1         1
4  2       1       0         1         0       1       1       1         0
  1008_f_at 1009_at 100_g_at 1010_at
1         1       1        1       1
2         1       1        1       0
3         0       0        1       1
4         1       1        0       1

dGAselID documentation built on May 2, 2019, 1:27 p.m.