| COHCAP.qc | R Documentation | 
Provides descriptive statistics (median, top/bottom quartiles, mininum,maximum), sample histograms, sample dendrogram, principal component analysis plot.
Output files will be created in the "QC" subfolder.
COHCAP.qc(sample.file, beta.table, project.name, project.folder,
				plot.legend=TRUE, color.palette = c("red","blue",
				"green","orange","purple","cyan","pink","maroon",
				"yellow","grey","black",colors()))
sample.file | 
 Tab-delimited text file providing group attributions for all samples considered for analysis.  | 
beta.table | 
 Data frame with CpG sites in columns (with DNA methylation represented as beta values or percentage methylation), samples in columns, and CpG site annotations are included (in columns 2-5). The COHCAP.annotate function automatically creates this file.  | 
project.name | 
 Name for COHCAP project. This determines the names for output files.  | 
project.folder | 
 Folder for COHCAP output files  | 
plot.legend | 
 A logical value: Should legend be plotted within QC figures?  | 
color.palette | 
 Colors for primary variable (specified in the second column of the sample file). Remember, COHCAP can only analyze discrete variables categoried with groups (preferably with replicates).  | 
COHCAP Discussion Group: http://sourceforge.net/p/cohcap/discussion/general/
library("COHCAP")
dir = system.file("extdata", package="COHCAP")
beta.file = file.path(dir,"GSE42308_truncated.txt")
sample.file = file.path(dir,"sample_GSE42308.txt")
project.folder = tempdir()#you may want to use getwd() or specify another folder
project.name = "450k_test"
beta.table = COHCAP.annotate(beta.file, project.name, project.folder,
				platform="450k-UCSC")
COHCAP.qc(sample.file, beta.table, project.name, project.folder)
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