evalSigSurv: evalCluster
In PietaSchofield/plibb: Pieta Schofield's repository of former useful R functions

function from etv1 projects not totally sure when I wrote this I have no memory of it It seems to take the results from the glmnet modelling to perform a KM survival analysis on a set of expression values split by cluster don't really know what the gcl parameter is all abou yet

1 2	evalSigSurv(expData, survData, hm = F, gcl = F, gcts = 10, cmeth = "ward.D2", titletxt = "")

`expData`	is an expression matrix rows=genes cols=samples
`survData`	is a survival data frame with columns time and status
`hm`	generate heatmap boolean
`gcl`	if generating heatmap do or don't cluster the genes as well as the samples
`gcts`	the number of cuts to attempt of the cluster
`cmeth`	hierarchical clustering method (distance is correlation)