dpsd: Differential probes by standard deviation
In sean-cho/toolkit: Toolkit for data manipulation and plotting.

Description Usage Arguments Details Value Examples

dpsd Find most variable features by standard deviation.

1	dpsd(x, n, .order = TRUE)

`x`	Matrix of numbers with columns indicating samples and rows indicating features.
`n`	Number of features to choose.
`.order`	Logical. Return features in decreasing SD values.

Identifies the most variable features across samples by standard deviation (sd). The n features with highest sd is returned as a matrix.

A matrix of nrow = n features with highest sd.

x1 <- matrix(rnorm(1000), nrow = 50)
rownames(x1) = paste('LowSD', 1:50, sep='_')
x2 <- matrix(rnorm(1000, sd = 3), nrow = 50)
rownames(x2) = paste('HighSD', 1:50, sep='_')
dpsd(rbind(x1,x2),20)