varTransform,msi.dataset-method {SPUTNIK} | R Documentation |
Variance stabilizing transformation.
Description
varTransform
transforms the MS intensities in order to reduce heteroscedasticity.
Usage
## S4 method for signature 'msi.dataset'
varTransform(object, method = "log", offsetZero = 1)
Arguments
object |
msi.dataset-class object. See msiDataset. |
method |
string (default =
|
offsetZero |
numeric (default = 1). This value is added to all the peak intensities to take into accounts of the zeros. It must be positive. |
Value
msi.dataset-class object with transformed peaks intensities.
Examples
## Load package
library("SPUTNIK")
## Create the msi.dataset-class object
sz <- c(40, 40)
x <- matrix(rnorm(sz[1] * sz[2] * 20) * 1000, sz[1] * sz[2], 20)
x[x < 0] <- 0 # MS data is positive
mz <- sort(sample(100, ncol(x)))
msiX <- msiDataset(x, mz, sz[1], sz[2])
## Normalize and log-transform
msiX <- normIntensity(msiX, "median")
msiX <- varTransform(msiX, "log")
## Create the msi.dataset-class object
sz <- c(40, 40)
x <- matrix(rnorm(sz[1] * sz[2] * 20) * 1000, sz[1] * sz[2], 20)
x[x < 0] <- 0 # MS data is positive
mz <- sort(sample(100, ncol(x)))
msiX <- msiDataset(x, mz, sz[1], sz[2])
## Normalize using PQN
msiX <- normIntensity(msiX, "PQN")
[Package SPUTNIK version 1.4.2 Index]