DiStatis-SelectVar: Function 'SelectVar' of DiStatis object

In kimod: A k-tables approach to integrate multiple Omics-Data

Description

This function calculates the biplot method through the compromise matrix to select genes SelectVar from DiStatis Class Object High level constructor of SelectVar class object

Usage

SelectVar(object, ord = FALSE, Crit = c("R2-Adj", "p-val(Bonf)", "AIC",
  "BIC"), perc = 0.9, Dims = 2)

## S4 method for signature 'DiStatis'
SelectVar(object, ord = FALSE, Crit = c("R2-Adj",
  "p-val(Bonf)", "AIC", "BIC"), perc = 0.9, Dims = 2)

Arguments

object	Object is an object of DiStatis Class.
ord	Logical. If TRUE, the models with intercept are computed, else the intercept is zero.
Crit	c("R2-Adj","p-val(Bonf)","AIC","BIC").Criterious of selection. "R2-Adj","p-val (Bonf)","AIC","BIC". Choose "R2-Adj" or "p-val (Bonf)" (Bonferroni correction),"AIC" or "BIC".
perc	The value of percentil that indicate how much data than are selected.
Dims	Numeric that indicates the number of dimensions to use for do the model. Default is 2.

Details

This function allows to build the biplot for continuous response, using an external procedure to obtained the regresors in the linear model (the response being an continuous variable). This function allows the selection of genes using the goodness of fit of the Models Biplot. object,ord=FALSE,

Value

SelectVar

SelectVar class object with the corresponding completed slots according to the given model

Author(s)

M L Zingaretti, J A Demey-Zambrano, J L Vicente Villardon, J R Demey

References

1. Demey, J., Vicente-Villardon, J. L., Galindo, M.P. & Zambrano, A. (2008) Identifying Molecular Markers Associated With Classification Of Genotypes Using External Logistic Biplots. Bioinformatics, 24(24), 2832-2838.

2. Gabriel, K. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika 58(3), 453–467.

3. Gower, J. & Hand, D. (1996). Biplots, Monographs on statistics and applied probability. 54. London: Chapman and Hall., 277 pp.

Examples

{
data(NCI60Selec)
Z1<-DiStatis(NCI60Selec)
M1<-SelectVar(Z1,Crit="R2-Adj",perc=0.95)
M2<-SelectVar(Z1,Crit="p-val(Bonf)",perc=0.95)
}

kimod documentation built on April 28, 2020, 9:21 p.m.