PlotHotspots: PlotHotspots
In mbertalan/iPsychCNV: iPsychCNV

Description Usage Arguments Details Value Author(s) Source Examples

PlotHotspots: Plot hot spot for CNVs.

PlotHotspots(CNVsDF, Hotspots, ListOfRawDataPath, Cores = 1, Skip = 10,
  Alpha = 1, Times = 10, NumSamples = 20, penalty = 60,
  Quantile = FALSE, QSpline = FALSE, sd = 0.18, OverlapMin = 0.9,
  OverlapMax = 1.1, SNPList = NULL)

`CNVsDF:`	Data frame with CNVs, default = Unknown.
`Hotspots:`	Unknown, default = Unknown.
`ListOfRawDataPath:`	Full path for each sample. You can get it using the command: Files <- list.files(path=PathRawData, pattern=Pattern, full.names=TRUE, recursive=recursive). Than use ListOfRawDataPath=Files.
`Cores:`	The number of cores used, default = 1.
`Skip:`	Integer, the number of lines of the data file to be skipped before beginning to read the data, default = 10.
`Penalty:`	The coefficient of the penalty for degrees of freedom, default = 60.
`Quantile:`	Logical, if quantile normalization should be applied or not, default = FALSE.
`QSpline:`	Logical, if a cubic smoothing spline should be used to normalize the data, default = FALSE.
`Sd:`	Numeric, Log R Ratio standard deviation for the quantile normalization, default = 0.18.