Description Usage Arguments Value Examples
Create a CEMiTool object
| 1 2 3 4 5 6 7 8 9 | new_cem(
  expr = data.frame(),
  sample_annot = data.frame(),
  sample_name_column = "SampleName",
  class_column = "Class",
  filter = TRUE,
  apply_vst = FALSE,
  filter_pval = 0.1
)
 | 
| expr | Object of class  | 
| sample_annot | Object of  | 
| sample_name_column | A string specifying the column to be used as sample identification. Default: "SampleName". | 
| class_column | A string specifying the column to be used as a grouping factor for samples. Default: "Class" | 
| filter | Logical. Used to define if posterior functions should use filtered expression data or not (Default: TRUE) | 
| apply_vst | Logical. Used to define if posterior functions should use a
variance stabilizing transformation on expression data before analyses. Only
valid if argument  | 
| filter_pval | logical. Threshold for filter p-value. Ignored if filter = FALSE (Default: 0.1) | 
Object of class CEMiTool
| 1 2 3 4 5 6 7 8 9 | # Create new CEMiTool object
cem <- new_cem()
# Create new CEMiTool object with expression and sample_annotation data
data(expr0)
data(sample_annot)
cem <- new_cem(expr0, sample_annot, "SampleName", "Class")
# Equivalent to a call to new()
cem2 <- new("CEMiTool", expression=expr0, sample_annotation=sample_annot)
identical(cem, cem2)
 | 
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