DoHeatmapSamples: A function that draws a heatmap based on a matrix
In mssm-msf-2019/BiostatsALL:

a function that is supposed to draw a heatmap based on a matrix of gene expressions

DoHeatmapSamples(exprs, corm = "pearson", colfac = NULL, dmeth = euc,
  hmeth = "average", cex.genes = 0.5, margins = c(5, 15), main = "",
  scl = "none", thebreaks = NULL, samplelabels = NULL, colcol = NULL,
  ...)

`exprs`	is a matrix of expressions
`corm`	is the metric for correlation evaluation
`colfac`	a factor in the phenotype data that will add colors to the top according to different levels
`dmeth`	the method to measure distance between matrices rows
`hmeth`	the method for the hierarchical clustering
`cex.genes`	is the proportion to which genes symbols should be expanded in the graphic
`margins`	is the definition of vertical and horizontal margins to plot the heatmap
`main`	is the title for the heatmap
`scl`	is an indicator if data should be scaled by row, column or both
`thebreaks`	enable color transition at specified limits
`samplelabels`	keeps a vector of characters to be used in the heatmap columns
`colcol`	is the color schema for the rows
`ColD`	is a logical parameter that indicates if the columns should be clustered
`colscheme`	is the schema for colors in the body of the heatmap

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DoHeatmap(mat = exprs(eset),facsepr = mygroup1, colfac = mygroup2, symb = genesymbols, dmeth=cor.dist, hmeth='average',
cex.genes=0.5, margins = c(5,15), main='', scl = row, breaks = NULL, cexCol = 1, colscheme = 'gray')