AnalyzeResults {dGAselID}

AnalyzeResults

Description

Ranks individuals according to their fitness and records the results.

Usage

AnalyzeResults(individuals, results, randomAssortment = TRUE, chrConf)

Arguments

individuals

Population of individuals with diploid genotypes.

results

Results returned by EvaluationFunction().

randomAssortment

Random Assortment of Chromosomes for recombinations. The default value is TRUE.

chrConf

Configuration of chromosomes returned by splitChromosomes().

Examples

## Not run: 
 library(genefilter)
 library(ALL)
 data(ALL)
 bALL = ALL[, substr(ALL$BT,1,1) == "B"]
 smallALL = bALL[, bALL$mol.biol %in% c("BCR/ABL", "NEG")]
 smallALL$mol.biol = factor(smallALL$mol.biol)
 smallALL$BT = factor(smallALL$BT)
 f1 <- pOverA(0.25, log2(100))
 f2 <- function(x) (IQR(x) > 0.5)
 f3 <- ttest(smallALL$mol.biol, p=0.1)
 ff <- filterfun(f1, f2, f3)
 selectedsmallALL <- genefilter(exprs(smallALL), ff)
 smallALL = smallALL[selectedsmallALL, ]
 rm(f1)
 rm(f2)
 rm(f3)
 rm(ff)
 rm(bALL)
 sum(selectedsmallALL)
 set.seed(1357)

 population0<-InitialPopulation(smallALL, 14, 10, FALSE)
 individuals0<-Individuals(population0)
 results0<-EvaluationFunction(smallALL, individuals0, response="mol.biol",
             method=knn.cvI(k=3, l=2), trainTest="LOG")
 chrConf0<-splitChromosomes(smallALL)
 iterRes0<-AnalyzeResults(individuals0, results0, randomAssortment=TRUE, chrConf0)
 
## End(Not run)