Plot a heatmap based on results from t-tests/ANOVA, VIP or randomforest
PlotHeatMap(mSetObj = NA, imgName, format = "png", dpi = 72,
width = NA, dataOpt, scaleOpt, smplDist, clstDist, palette,
viewOpt = "detail", rowV = T, colV = T, var.inx = NA,
border = T, grp.ave = F)Input name of the created mSet Object
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.
Set data options
Set the image scale
Input the sample distance method
Input the clustering distance method
Input color palette choice
Set heatmap options, default is set to "detail"
Default is set to T
Default is set to T
Default is set to NA
Indicate whether or not to show cell-borders, default is set to T
Logical, default is set to F