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#'Quick pvalue of total number of heterozygous loci
#'@details This function is a summary of pipeline for number of heterozygous loci (K), and generates the p-value of K for the target dataset.
#'@usage mixIndependK(x,sep,t,B)
#'@param x a dataset of alleles. Each row denotes each individual.One allele in one cell.In the (2r-1)th column, there is the same locus with the 2r-th column; noted: no column for ID, make row.names=1 when importing.
#'@param sep allele separator in the imported genotype data. Note: when using the special character like "|", remember to protect it as "\\|".
#'@param t times of simulation in "Simulate_DistK" and "Simulate_DistX".
#'@param B times of bootstrapping in Chi Squares Test.
#'@return pvalue (1-cumulative probabilities) for the number of heterozygous loci(K)
#'@export
#'@examples
#'x <- data.frame(SNP1=c("A|A","T|T","A|T","A|T"),
#' STR1=c("12|12","13|14","13|13","14|15"))
#'mixIndependK(x,sep ="\\|",10,10)
mixIndependK<-function(x,sep="\\|",t,B){
ss <- nrow(x)
p <- AlleleFreq(x,sep)
h <- Heterozygous(x,sep)
H <- RxpHetero(h,p,HWE = F)
Obs_DistHetero<-FreqHetero(h)
Exp_DistHetero<-DistHetero(H)
prob<-Exp_DistHetero$Density
obs<-Obs_DistHetero$Freq
s<-Simulate_DistK(H,ss,t)
x2<-Dist_SimuChisq(s,Exp_DistHetero$Density,B)
idx1 <-min(which(!obs==0))
idx2 <- max(which(!obs==0))
x20 <-chisq.test(obs[idx1:idx2],p=prob[idx1:idx2]/sum(prob[idx1:idx2]),simulate.p.value = T,B=B)
P <- ecdf(x2)
return(1-P(x20$statistic))
}
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