View source: R/visualizations.R
| modCorPlot | R Documentation | 
Plot a correlation heatmap for modules
modCorPlot(
  modules,
  mset = NULL,
  heatmap_func = pheatmap,
  labels = NULL,
  stat = "jaccard",
  upper.cutoff = NULL,
  ...
)
| modules | either a character vector with module IDs from mset, or a list which contains the module members | 
| mset | Which module set to use. Either a character vector ("LI", "DC" or "all", default: all) or an object of class tmod (see "Custom module definitions" below) | 
| heatmap_func | function drawing the heatmap | 
| labels | Labels for the modules (if NULL, labels will be retrieved from 'mset') | 
| stat | Type of statistics to return. "jaccard": Jaccard index (default); "number": number of common genes; "soerensen": Soerensen-Dice coefficient; "overlap": Szymkiewicz-Simpson coefficient. | 
| upper.cutoff | Specify upper cutoff for the color palette | 
| ... | Any further parameters are passed to the heatmap function (by default, [pheatmap()]. | 
Returns the return value of heatmap_func (by default, a pheatmap object).
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