reg.coeffs: Calculate true variables regression coefficients

In mjnueda/maSigPro: Significant Gene Expression Profile Differences in Time Course Gene Expression Data

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, [e-mail]

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")

mjnueda/maSigPro documentation built on Dec. 11, 2020, 12:21 a.m.