Plot heatmap visualization for time-series data
PlotHeatMap2(mSetObj=NA, imgName, format="png", dpi=72, width=NA, smplDist="pearson", clstDist="average", colors="bwm", viewOpt="overview", hiRes=FALSE, sortInx = 1, useSigFeature, drawBorder)
Input the name of the created mSetObj (see InitDataObjects)
Input a name for the plot
Select the image format, "png", or "pdf".
Input the dpi. If the image format is "pdf", users need not define the dpi. For "png" images, the default dpi is 72. It is suggested that for high-resolution images, select a dpi of 300.
Input the width, there are 2 default widths, the first, width = NULL, is 10.5. The second default is width = 0, where the width is 7.2. Otherwise users can input their own width.
Select distance measure: euclidean, pearson, or minkowski
Select clustering algorithm: ward, average, complete, single
Select heatmap colors: bwm, gray
Select overview or detailed view: overview or detail
Select high-resolution or not: logical, default set to F
Sort by index
Use significant features only: F or T (default false)
Show cell borders: F or T (default F)