reg.coeffs {maSigPro} | R Documentation

## Calculate true variables regression coefficients

### Description

`reg.coeffs` calculates back regression coefficients for true variables (experimental groups) from dummy variables regression coefficients.

### Usage

    reg.coeffs(coefficients,
    indepen = groups.vector[nchar(groups.vector)==min(nchar(groups.vector))][1],
    groups.vector,  group)

### Arguments

`coefficients` | vector of regression coefficients obtained from a regression model with dummy variables
`indepen` | idependent variable of the regression formula
`groups.vector` | vector indicating the true variable of each variable in `coefficients`
`group` | true variable for which regression coefficients are to be computed

### Details

regression coefficients in coefficients vector should be ordered by polynomial degree in a regression formula, ie: intercept, $x$ term, $x^2$ term, $x^3$ term, and so on...

### Value

`reg.coeff` | vector of calculated regression coefficients

### Author(s)

Ana Conesa and Maria Jose Nueda, mj.nueda@ua.es

### References

Conesa, A., Nueda M.J., Alberto Ferrer, A., Talon, T. 2005. maSigPro: a Method to Identify Significant Differential Expression Profiles in Time-Course Microarray Experiments.

### Examples

    groups.vector <-c("CT", "T1vsCT", "T2vsCT", "CT", "T1vsCT","T2vsCT", "CT", "T1vsCT", "T2vsCT")
    coefficients <- c(0.1, 1.2, -0.8, 1.7, 3.3, 0.4, 0.0, 2.1, -0.9)
    ## calculate true regression coefficients for variable "T1"
    reg.coeffs(coefficients, groups.vector = groups.vector, group = "T1")

[Package maSigPro version 1.66.0 Index]