logisticRegression: Estimates and tests a group factor

Description Usage Arguments Value Author(s) See Also Examples

View source: R/logisticRegression.R

Description

It is used to fit a linear model on the log odds of each (smoothed) methylation level. The first independent variable in formula is tested to be unequal to zero.

Usage

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logisticRegression(formula, link, object, mc.cores)

Arguments

formula

An object of class formula. For the first independent variable the p-value and the effect on methylation is returned.

link

A character specifying the link function. Currently, "logit", "probit", "cloglog", "log", "loglog" are supported.

object

A BSrel object.

mc.cores

Passed to mclapply.

Value

A data.frame containing the position, chromosome, P value, estimated methylation level in group 1 and group 2 and methylation difference of group 1 and group 2.

Author(s)

Katja Hebestreit

See Also

mclapply, glm

Examples

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data(predictedMeth)

logisticResults <- logisticRegression(formula = ~group, link = "logit",
                                      object = predictedMeth) 

BiSeq documentation built on Nov. 1, 2018, 2:25 a.m.