View source: R/functions_imagesQC.R
densityFun | R Documentation |
This function (from functions_imagesQC.R) creates an image with a density curve of the intensities for all arrays in the raw or normalized dataset (depending on the object passed).
densityFun(
Data,
plotColors = NULL,
normMeth = "",
WIDTH = 1000,
HEIGHT = 1414,
POINTSIZE = 24,
MAXARRAY = 41
)
Data |
(Status: required) The raw data object (datatype: AffyBatch) |
plotColors |
(Status: required, Default:NULL) Vector of colors assigned to each array. (datatype: character) |
normMeth |
(Status: required when Data is a normalized data object, Default:"") String indicating the normalization method used (see normalizeData function for more information on the possible values). (datatype: character) |
WIDTH |
(Status: optional, Default:1000) png image width (datatype: number) |
HEIGHT |
(Status: optional, Default:1414) png image height (datatype: number) |
POINTSIZE |
(Status: optional, Default:24) png image point size (datatype: number) |
MAXARRAY |
(Status: optional, Default:41) threshold to adapt the image to the number of arrays (datatype: number) |
A PNG image of the raw or normalized density plots of the arrays, called "DensityHistogram"
# By default, before the normalization the script will call:
# densityFun(Data=rawData, plotColors)
# and after normalization:
# densityFun(Data=normData, plotColors, normMeth=normMeth)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.