Nothing
library(simule)
### plotting window reset routine
graphics.off()
par(ask=F)
par(mfrow=c(1,1))
readline(prompt="Press [enter] to continue to cancer demo with 2 tasks (not v. pcr) and 26 features (26 cancer types) ")
### load cancer data (cancer)
data(cancer)
### create a list of cancer data (cancerlist)
cancerlist = list(as.matrix(cancer[[1]][which(cancer[[2]] == "not"),]),
as.matrix(cancer[[1]][which(cancer[[2]] == "pcr"),]))
result = simule(cancerlist, 0.2, 1, covType = "cov", TRUE)
label = colnames(cancer[[1]])
graph = returngraph(result)
layout = layout_nicely(graph,dim=2)
### multiple plotting
readline(prompt="Press [enter] to display four plots showing all graphs, shared graph, task specific 1 and task specific 2")
par(mfrow=c(2,2))
{
plot.simule(result, graphlabel = label, type="task", graphlayout = layout)
plot.simule(result, graphlabel = label, type="share", graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=1, graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=2, graphlayout = layout)
}
readline(prompt="Press [enter] to continue to synthetic Gaussian data demo with 2 tasks and 20 features")
### load the example data
data(exampleData)
result = simule(X = exampleData , lambda = 0.1, epsilon = 0.45, covType = "cov", TRUE)
graph = returngraph(result)
layout = layout_nicely(graph,dim=2)
label = NULL
### multiple display
readline(prompt="Press [enter] to view the four plots showing all graphs, shared graph, task 1 and task 2 specific graphs")
par(mfrow=c(2,2))
{
plot.simule(result, graphlabel = label, type="task", graphlayout = layout)
plot.simule(result, graphlabel = label, type="share", graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=1, graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=2, graphlayout = layout)
}
readline(prompt="Press [enter] to continue to NIPS word count demo with 2 tasks (before 2006 and after 2006) and 37 features (37 words)")
### load the nips word count data
data(nip_37_data)
label = colnames(nip_37_data[[1]])
result = simule(nip_37_data, lambda = 0.13, epsilon = 0.5, covType = "kendall", parallel = TRUE)
graph = returngraph(result)
layout = layout_nicely(graph, dim = 2)
### multiple plotting
readline(prompt="Press [enter] to display four plots showing all graphs, shared graph, task specific 1 and task specific 2")
par(mfrow=c(2,2))
{
plot.simule(result, graphlabel = label, type="task", graphlayout = layout)
plot.simule(result, graphlabel = label, type="share", graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=1, graphlayout = layout)
plot.simule(result, graphlabel = label, type="taskspecific", subID=2, graphlayout = layout)
}
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