bootstrap | R Documentation |
Run bootstrap simulations on the components (phi) of an object of class mnem.
bootstrap(x, size = 1000, p = 1, logtype = 2, complete = FALSE, ...)
x |
mnem object |
size |
size of the booststrap simulations |
p |
percentage of samples (e.g. for 100 E-genes p=0.5 means sampling 50) |
logtype |
logarithm type of the data (e.g. 2 for log2 data or exp(1) for natural) |
complete |
if TRUE, complete data log likelihood is considered (for very large data sets, e.g. 1000 cells and 1000 E-genes) |
... |
additional parameters for the nem function |
returns bootstrap support for each edge in each component (phi); list of adjacency matrices
Martin Pirkl
sim <- simData(Sgenes = 3, Egenes = 2, Nems = 2, mw = c(0.4,0.6))
data <- (sim$data - 0.5)/0.5
data <- data + rnorm(length(data), 0, 1)
result <- mnem(data, k = 2, starts = 1)
boot <- bootstrap(result, size = 2)
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