heatMeta: Heatmap for meta-region profiles
In BIMSBbioinfo/genomation: Summary, annotation and visualization of genomic data

Description Usage Arguments Value Examples

Function calculates meta-profile(s) from a ScoreMatrix or a ScoreMatrixList, then produces a heatmap or a set of stacked heatmaps for meta-region profiles

heatMeta(mat, centralTend = "mean", profile.names = NULL, xcoords = NULL,
  col = NULL, meta.rescale = FALSE, winsorize = c(0, 100),
  legend.name = NULL, cex.legend = 1, xlab = NULL, main = "",
  cex.lab = 1, cex.axis = 1)

`mat`	`ScoreMatrix` or `ScoreMatrixList` to be plotted
`centralTend`	a character that determines central tendency of meta-profile(s). It takes "mean" (default) or "median".
`profile.names`	a character vector for names of profiles. If NULL, the names will be taken from names(mat) if mat is a `ScoreMatrixList` object.
`xcoords`	a vector of numbers showing relative positions of the bases or windows. It must match the number of columns in the `ScoreMatrix` For example: if there are 2001 elements in the matrices which are base-pair resolution and they are centered around an anchor point like TSS, the xcoords argument should be -1000:1000. This argument is used to plot accurate x-axis labels for the plots.If NULL it will be equal to 1:ncol(mat).
`col`	a vector of color pallete. color scheme to be used. If NULL, a version of jet colors will be used.
`meta.rescale`	if TRUE meta-region profiles are scaled to 0 to 1 range by subracting the min from profiles and dividing them by max-min.
`winsorize`	Numeric vector of two, defaults to c(0,100). This vector determines the upper and lower percentile values to limit the extreme values. For example, c(0,99) will limit the values to only 99th percentile, everything above the 99 percentile will be equalized to the value of 99th percentile. This is useful for visualization of matrices that have outliers.
`legend.name`	a character label plotted next to the legend
`cex.legend`	A numerical value giving the amount by which legend axis marks should be magnified relative to the default
`xlab`	label a character string for x-axis
`main`	a character string for the plot title
`cex.lab`	A numerical value giving the amount by which axis labels (including 'legend.name') should be magnified relative to the default.
`cex.axis`	A numerical value giving the amount by which axis marks should be magnified relative to the default

returns meta-profile matrix invisibly.

 data(cage)
 data(promoters)
 scores1=ScoreMatrix(target=cage,windows=promoters,strand.aware=TRUE)
 data(cpgi)
 scores2=ScoreMatrix(target=cpgi,windows=promoters,strand.aware=TRUE)

 x=new("ScoreMatrixList",list(scores1,scores2))
 
 heatMeta(mat=x,legend.name="fg",cex.legend=0.8,main="fdf",cex.lab=6,
          cex.axis=0.9)