minMSE (version 0.5.1)

scale_vars: Covariate Vectors Scaling

Description

Scales the data such that the empty fiels (NA) are the mean of the column and all variables are scaled to have variance 1. In case a variable has cero variance, the variable internally is treated as if it was 0, that way it is not taken into account for treatment assignment.

Usage

scale_vars(data)

Arguments

data

a dataframe containing the covariate vectors for each attribute.

Value

Returns a dataframe where the empty fields are filled with the mean of the column, and for all variables the variance is 1.

Examples

# NOT RUN {
input <- data.frame(c(10, 20, 30, 40, 130, 40, 120, 5, 10, 80),
                    c(2, 6, 2, 8, 1, 10, 9, 8, 7, 5),
                    c(1, 0, 2, 1, 0, 1, 0, 2, 1, 0))
colnames(input) <- c("IQ", "grade_maths", "both_parents")

scale_vars(input)
# }