HeatMap | R Documentation |
Make a frequency heatmap
HeatMap( Min, Max, chr = NULL, Info, FreqNbG, Dir = NULL, Weights = NULL, Weight.thres = 0.05, NbAdjM = 0, Subsets = NULL )
Min |
the starting position value of the region |
Max |
the end position value of the region |
chr |
a string providing the chromosome name, optional |
Info |
a data.frame providing information about markers |
FreqNbG |
a list of data.frames (one per population) with two columns: Freq and NbGamete |
Dir |
a string providing the name of the directory where the graph should be saved, optional |
Weights |
a vector of weights associated with each marker, optional |
Weight.thres |
a numeric value. Markers with weights lower than this threshold will be discarded from the graphical representation. Optional. |
NbAdjM |
an integer providing the number of markers before and after the highlighted regions that should be added to the graphical representation, optional. |
Subsets |
a list of character vectors with the population names, optional. |
A heatmap where rows correspond to markers, and columns to populations.
## The full example execution takes a few seconds. # data(Freq);data(NbGamete) # FreqNbG <- BuildFreqNbG(Freq,NbGamete) # HFst.m <- HudsonFst.m(FreqNbG) ## Two sets of populations to contrast # Contrast <- list(America=c("Colombian","Maya"),Europe=c("Tuscan","Italian")) # Profiles <- HudsonFst.prof(HFst.m,Contrast=Contrast) # PS <- ProfilingSummary(Profiles,Info) # RefLevel <- rapply(Profiles,median,classes = "numeric",how='list') # Ratio.thres <- 3 # NbSnp.min <- 1 # CS <- ContrastSummary(PS, RefLevel, # Ratio.thres=Ratio.thres, # NbSnp.min=NbSnp.min) # NbSel.thres <- 2 # TopRegions <- ContrastTopRegions(CS = CS,Crit = 'NbSel',Info = Info, # Thres = NbSel.thres, Simplify=TRUE) # HeatMap(Min = TopRegions[1,]$Start, # Max = TopRegions[1,]$End, # chr = TopRegions[1,]$Chromosome, # Info = Info, # FreqNbG = FreqNbG, # Subsets = Contrast)
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