GSEPD_ChangeOutput: GSEPD_ChangeOutput

In kstammits/rgsepd: Gene Set Enrichment / Projection Displays

GSEPD_ChangeOutput

Description

Update the stored output folder designation, and create it if necessary. This is useful if you want to change some LIMIT parameters and re-run the pipeline. Don't forget to GSEPD_Process() after changing settings.

Usage

GSEPD_ChangeOutput(GSEPD, newFolder)

Arguments

GSEPD	The initial GSEPD parameter object to update the output folder of.
newFolder	The new output folder to be created.

Value

Returns the updated GSEPD parameter object.

Author(s)

[e-mail]

Examples

  data("IlluminaBodymap")
  data("IlluminaBodymapMeta")
  set.seed(1000) #fixed randomness
  isoform_ids <- Name_to_RefSeq(c("HIF1A","EGFR","MYH7","CD33","BRCA2"))
  rows_of_interest <- unique( c( isoform_ids ,
                                 sample(rownames(IlluminaBodymap),
                                        size=2000,replace=FALSE)))
  G <- GSEPD_INIT(Output_Folder="OUT",
                finalCounts=round(IlluminaBodymap[rows_of_interest , ]),
                sampleMeta=IlluminaBodymapMeta,
                COLORS=c("green","black","red"))
  G <- GSEPD_ChangeConditions( G, c("A","B")) #set testing groups first!           

  G<- GSEPD_ChangeOutput(G, "Output2")
  #G <- GSEPD_Process( G ) #would output to folder Output2
  #now tweak some settings and re-do
  G$LIMIT$LFC <- 0.25 #lower than default log-fold-change limit
  G<- GSEPD_ChangeOutput(G, "Output-Low")
  #G <- GSEPD_Process( G ) #would output to folder Output-Low

kstammits/rgsepd documentation built on Oct. 13, 2022, 6:43 p.m.