The function performs a transformation of the ranking index so that
its distribution is suitable as independent variable of the
logistic regression model.
Usage
indexTransform(index, method = "normalize")
Arguments
index
a ranking index; a numeric vector, matrix or data.frame.
method
transformation method. See details.
Details
Works for vector, matrices and data.frames.
In the case of matrices the function transforms each column separately
from the other ones.
Two methods are currently implemented:
- normalize:
transforms the index into quantiles of a normal distribution.
- standardize:
performs an statistical standardization by subtracting
the mean and dividing by the standard deviation.
Value
A transformed index. Its class will be that of the the input object.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(mdgsa)
KEGG.db contains mappings based on older data because the original
resource was removed from the the public domain before the most
recent update was produced. This package should now be considered
deprecated and future versions of Bioconductor may not have it
available. Users who want more current data are encouraged to look
at the KEGGREST or reactome.db packages
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/mdgsa/indexTransform.Rd_%03d_medium.png", width=480, height=480)
> ### Name: indexTransform
> ### Title: Transform ranking index distribution.
> ### Aliases: indexTransform
> ### Keywords: index ranking transform
>
> ### ** Examples
>
> myIndex <- runif (1000)
> myTransformedIndex <- indexTransform (myIndex)
> plot (myIndex, myTransformedIndex)
>
>
>
>
>
> dev.off()
null device
1
>