stand: Standardization of a data frame based on another data frame

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Standardization of a data frame based on another data frame

Description

Centers and scales a data frame. See Details.

Usage

stand(tab, ref.tab=NULL, center=NULL, scale=NULL)

Arguments

tab	data frame to scale.
ref.tab	optional reference data frame, from which centering and scaling parameters are obtained (see Details).
center	optional vector of centering parameters (one per column of tab). See Details.
scale	optional vector of scaling parameters (one per column of tab). See Details.

Details

If ref.tab is not NULL, centering and scaling parameters are looked for into this data frame. If it has a "scaled:center" attribute, this one is used to center tab. Otherwise means of ref.tab's columns are used. The same happens for scaling parameters (with the "scaled:scale" attribute and standard deviations).

If ref.tab is NULL, values of center and scale are used to standardize tab.

If ref.tab and center are NULL, means of tab's columns are used for centering. If ref.tab and scale are NULL, standard deviations of tab's columns are used for scaling.

Author(s)

Maxime HERVE <[e-mail]>

See Also

scale

Examples

data(iris)
set.seed(1131)
iris.samp <- iris[sample(1:150,10),1:4]

# Centering parameters of the complete dataset
attr(scale(iris[,1:4]),"scaled:center")
# Centering parameters of the reduced dataset
attr(scale(iris.samp),"scaled:center")

# Standardization based on the reduced dataset only
attr(stand(iris.samp),"scaled:center")
# Standardization based on the complete dataset
attr(stand(iris.samp,iris[,1:4]),"scaled:center")

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.