normalize function

Normalizes a Numeric Matrix by Columns.

For a variable considered to be used in Dynamic Model Averaging (or Dynamic Model Selection, etc.), sometimes it is desirable to have all its values between 0 and 1. This function rescales the values to fit between 0 and 1.

If the argument is not a matrix, the function tries to convert the object into a matrix. For example, it works smoothly for xts objects.

normalize(data)

Arguments

• data: matrix, observations are put in rows, and variables are grouped by columns

Returns

matrix

Examples

wti <- crudeoil[-1,1]
drivers <- (lag(crudeoil[,-1],k=1))[-1,]

nwti <- normalize(wti)

nd <- normalize(drivers)

normalize(cbind(c(0,1,2),c(1,2,3),c(0,1,3)))

See Also

standardize