generalizedFC {MicrobiotaProcess} | R Documentation

## generalized fold change

### Description

calculate the mean difference in a set of predefined quantiles of the logarithmic

### Usage

    generalizedFC(x, ...)

    ## Default S3 method:
    generalizedFC(x, y, base = 10, steps = 0.05, pseudo = 1e-05, ...)

    ## S3 method for class 'formula'
    generalizedFC(x, data, subset, na.action, ...)

### Arguments

`x` | numeric vector, numeric vector of data values or formula, example 'Ozone ~ Month', Ozone is a numeric variable giving the data values ‘Month’ a factor giving the corresponding groups.
`...` | additional arguments.
`y` | numeric vector, numeric vector of data values
`base` | a positive or complex number, the base with respect to which logarithms are computed, default is 10.
`steps` | positive numeric, increment of the sequence, default is 0.05.
`pseudo` | positive numeric, avoid the zero for logarithmic, default is 0.00001.
`data` | data.frame, an optional matrix or data frame,containing the variables in the formula.
`subset` | (similar: see 'wilcox.test')an optional vector specifying a subset of observations to be used.
`na.action` | a function which indicates what should happen when the data, contain 'NA's. Defaults to 'getOption("na.action")'.

### Value

list contained gfc, the mean and median of different group.

### Author(s)

Shuangbin Xu

### Examples

    set.seed(1024)
    data <- data.frame(A=rnorm(1:10,mean=5),
                       B=rnorm(2:11, mean=6),
                       group=c(rep("case",5),rep("control",5)))
    generalizedFC(B ~ group,data=data)
    generalizedFC(x=c(1,2,3,4,5),y=c(3,4,5,6,7))

[Package MicrobiotaProcess version 1.4.4 Index]