drawTable: Concept-Gene Networking Plotting
In GeneAnswers: Integrated Interpretation of Genes

Description Usage Arguments Details Value Author(s) References See Also Examples

A function to generate a multigroup concepts-genes table

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drawTable(dataMatrix, topCat=10, heatMap=TRUE, matrixOfHeatmap=NULL, clusterTable=c('geneNum', 'pvalue', NULL), methodOfCluster=c('mds', 'sort'), mar=c(1,5,5,8), 
			addRowLabel=TRUE, cex.axis=c(1.1, 0.9), reverseOfCluster=FALSE, xGridLine=FALSE, colorBar=TRUE, newWindow=TRUE, endOfColBar=c('> 0.01', 'Minimum of p values'), heatMapColor=c('#00ff00','#ffffff'), canvasWidth=NULL, canvasHeight=NULL, ...)

`dataMatrix`	a top concepts-genes matrix generated by `getConceptTable`.
`topCat`	number to specify how many top concepts-genes analysis will show.
`heatMap`	logic, determine whether the multiple group concepts-genes table is presented by heatmap.
`matrixOfHeatmap`	NULL or a concepts-genes matrix generated by `getConceptTable`, which is used to show enrichment test significance for each concept.
`clusterTable`	cluster data to specify which type of values will be used for cluster.
`methodOfCluster`	cluster method
`mar`	marginal parameter for table, please see `par`
`addRowLabel`	logic, whether add row names
`cex.axis`	font size parameter for table, please see `par`
`reverseOfCluster`	logic, whether reverse the cluster order.
`xGridLine`	logic, whether add horizontal line in table or not
`colorBar`	logic, whether show color bar or not
`newWindow`	logic, whether present table in current active window or not
`endOfColBar`	a character string for color bar.
`heatMapColor`	a two R color element vector to define maximum and minimum colors.
`canvasWidth`	width of the canvas, the default is NULL, the value will be determined by the function.
`canvasHeight`	height of the canvas, the default is NULL, the value will be determined by the function.
`...`	other parameters used by 'sort'

an image based multigroup concepts-genes table is generated. If heatmap is on, the statistical significant cells are shaded by different level green. Specified top gene amounts are highlighted as red.

No return value.

Gang Feng, Pan Du and Simon Lin

Feng, G., Du, P., Krett, N., Tessel, M., Rosen, S., Kibbe, W.A. and Lin, S.M., 'A collection of bioconductor methods to visualize gene-list annotations', BMC Research Notes 2010, 3:10

See Also as getConceptTable, groupReport

data(sampleGroupsData)
gAKEGGL <- lapply(sampleGroupsData, geneAnswersBuilder, 'org.Hs.eg.db', categoryType='KEGG', pvalueT=0.1, verbose=FALSE)
#output<- getConceptTable(gAKEGGL, items='geneNum')
## Not run: drawTable(output[[1]], matrixOfHeatmap=output[[2]], mar=c(2,15,3,2), clusterTable=NULL)